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1.
Rev. bras. med. esporte ; 27(3): 249-252, July-Sept. 2021. tab, graf
Article in English | LILACS | ID: biblio-1288588

ABSTRACT

ABSTRACT Introduction High-intensity rehabilitation training will produce exercise fatigue. Objective A backpropagation (BP) network neural algorithm is proposed to predict sports fatigue based on electromyography (EMG) signal images. Methods The principal component analysis algorithm is used to reduce the dimension of EMG signal features. The knee joint angle is estimated by the regularized over-limit learning machine algorithm and the BP neural network algorithm. Results The RMSE value of the regularized over-limit learning machine algorithm is lower than that of the BP neural network algorithm. At the same time, the ρ value of the regularized over-limit learning machine algorithm is closer to 1, indicating its higher accuracy. Conclusions The model training time of the regularized over-limit learning machine algorithm has been greatly reduced, which improves efficiency. Level of evidence II; Therapeutic studies - investigation of treatment results.


RESUMO Introdução O treinamento de reabilitação de alta intensidade produzirá fadiga ao exercício. Objetivo Um algoritmo neural de backpropagation network (BP) é proposto para prever a fadiga esportiva com base em imagens de sinais de eletromiografia (EMG). Métodos O algoritmo de análise de componente principal é usado para reduzir a dimensão das características do sinal EMG. O ângulo da articulação do joelho é estimado usando o algoritmo de aprendizado de máquina de limite regularizado acima e o algoritmo de rede neural BP. Resultados o valor RMSE do algoritmo de aprendizado de máquina acima do limite regularizado é menor que o do algoritmo de rede neural BP. Ao mesmo tempo, o valor de ρ do algoritmo de aprendizado de máquina acima do limite regularizado está próximo de 1, indicando sua maior precisão. Conclusões O tempo de treinamento do modelo de algoritmo de aprendizado de máquina acima do limite regularizado foi bastante reduzido, o que melhora a eficiência. Nível de evidência II; Estudos terapêuticos: investigação dos resultados do tratamento.


RESUMEN Introducción El entrenamiento de rehabilitación de alta intensidad producirá fatiga por ejercicio. Objetivo Se propone un algoritmo neuronal de red de retropropagación (BP) para predecir la fatiga deportiva basándose en imágenes de señales de electromiografía (EMG). Métodos El algoritmo de análisis de componentes principales se utiliza para reducir la dimensión de las características de la señal EMG. El ángulo de la articulación de la rodilla se estima mediante el algoritmo de la máquina de aprendizaje por encima del límite regularizado y el algoritmo de red neuronal BP. Resultados el valor de RMSE del algoritmo de la máquina de aprendizaje por encima del límite regularizado es menor que el del algoritmo de red neuronal de BP. Al mismo tiempo, el valor ρ del algoritmo de la máquina de aprendizaje por encima del límite regularizado está más cerca de 1, lo que indica su mayor precisión. Conclusiones El tiempo de entrenamiento del modelo del algoritmo de la máquina de aprendizaje por encima del límite regularizado se ha reducido en gran medida, lo que mejora la eficiencia. Nivel de evidencia II; Estudios terapéuticos: investigación de los resultados del tratamiento.


Subject(s)
Humans , Principal Component Analysis , Fatigue , High-Intensity Interval Training , Algorithms , Signal Processing, Computer-Assisted , Electromyography , Knee Joint/physiology
2.
Rev. bras. med. esporte ; 27(5): 518-522, July-Sept. 2021. graf
Article in English | LILACS | ID: biblio-1288619

ABSTRACT

ABSTRACT Objective: There were many constraints produced by training time and joint injury to analyze the influence of the training intensity on the elbow and knee joints of athletes during the training process. Methods: An improved algorithm-based master component analysis (PCA) modeling method is proposed .1 4 4 athletes were selected in xxx and compared in three groups. Results: The improved PCA models for injury prediction were applied to athletes from group A, the traditional injury models for prediction were adopted for athletes from group B, and athletes from group C received the hospital physical examinations. The results showed that the accuracy of elbow injury in group A due to excessive exercise was 66.86%, the accuracy of hospital physical examination in group C was 67%, and the accuracy of the traditional algorithm in group B was 50%, finding that the accuracy of group A was obviously different from group B (P < 0.05). Compared with other injuries caused by excessive friction, the detection accuracy of knee injuries caused by excessive friction in group A was 62%, that in group B was 44%, and that in group C was 63%. There was a statistically marked difference between groups A and B (P < 0.05). Conclusions: A PCA - based model of athletes' overtraining injury has high accuracy and adaptability, predicting elbow injury. Level of evidence II; Therapeutic studies - investigation of treatment results.


RESUMO Objetivo: Houve uma grande quantidade de restrições produzidas pelo tempo de treinamento e lesão articular a fim de analisar a influência da intensidade do treinamento nas articulações do cotovelo e joelho dos atletas durante o processo de treinamento. Métodos: É proposto um método de modelagem aprimorado de análise de componentes mestre (PCA) baseado em algoritmo .1 4 4 atletas foram selecionados em xxx e comparados em três grupos. Resultados: Os modelos aprimorados de PCA para previsão de lesões foram aplicados a atletas do grupo A, os modelos tradicionais de lesões para previsão foram adotados para atletas do grupo B e os atletas do grupo C receberam os exames físicos hospitalares. Os resultados mostraram que a acurácia da lesão de cotovelo no grupo A devido ao exercício excessivo foi de 66,86%, a acurácia do exame físico hospitalar no grupo C foi de 67% e a acurácia do algoritmo tradicional no grupo B foi de 50%, achando que a acurácia do grupo A era obviamente diferente do grupo B (P <0,05). Em comparação com outras lesões causadas por atrito excessivo, a precisão de detecção de lesões no joelho causadas por atrito excessivo no grupo A foi de 62%, no grupo B foi de 44% e no grupo C foi de 63%. Houve uma diferença estatisticamente marcada entre os grupos A e B (P <0,05). Conclusões: Um modelo baseado na PCA de lesão por overtraining em atletas tem alta precisão e adaptabilidade, o que pode prever lesões de cotovelo. Nível de evidência II; Estudos terapêuticos- investigação dos resultados do tratamento.


RESUMEN Objetivo: Hubo una gran cantidad de restricciones producidas por el tiempo de entrenamiento y la lesión articular para analizar la influencia de la intensidad del entrenamiento en las articulaciones del codo y la rodilla de los atletas durante el proceso de entrenamiento. Métodos: Se propone un método mejorado de modelado de análisis de componentes maestros (PCA) basado en algoritmos .1 4 Se seleccionaron 4 atletas en xxx y se compararon en tres grupos. Resultados: Los modelos mejorados de PCA para la predicción de lesiones se aplicaron a los atletas del grupo A, los modelos tradicionales de predicción de lesiones se adoptaron para los atletas del grupo B y los atletas del grupo C recibieron los exámenes físicos hospitalarios. Los resultados mostraron que la precisión de la lesión del codo en el grupo A por ejercicio excesivo fue del 66,86%, la precisión del examen físico hospitalario en el grupo C fue del 67% y la precisión del algoritmo tradicional en el grupo B fue del 50%, encontrando que la precisión del grupo A fue obviamente diferente del grupo B (P <0.05). En comparación con otras lesiones causadas por fricción excesiva, la precisión de detección de las lesiones de rodilla causadas por fricción excesiva en el grupo A fue del 62%, en el grupo B del 44% y en el grupo C del 63%. Hubo una diferencia estadísticamente marcada entre el grupo A y B (P <0.05). Conclusiones: Un modelo basado en PCA de la lesión por sobreentrenamiento de los atletas tiene una alta precisión y adaptabilidad, lo que puede predecir la lesión del codo. Nivel de evidencia II; Estudios terapéuticos- investigación de los resultados del tratamiento.


Subject(s)
Humans , Male , Female , Adult , Young Adult , Athletic Injuries/diagnosis , Exercise , Elbow/injuries , Knee Injuries/diagnosis , Algorithms , Principal Component Analysis , Forecasting
3.
Rev. cuba. invest. bioméd ; 40(2): e945, 2021. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1347455

ABSTRACT

Introducción: Desde marzo de 2020 Cuba está siendo afectada por el SARS-CoV-2, coronavirus altamente infeccioso y causante de la COVID-19. La COVID-19 presenta un conjunto de síntomas asociados y la evolución de los pacientes puede estar influenciada por la presencia de ciertos antecedentes patológicos personales en el hospedero. Objetivo: Identificar mediante componentes principales el agrupamiento de variables clínicas en los pacientes con COVID-19 en la provincia de Santiago de Cuba. Método: Se realizó un estudio observacional, descriptivo y transversal. La población de estudio se conformó por los 49 casos confirmados con COVID-19 en la provincia de Santiago de Cuba desde el 20 de marzo hasta el 30 de abril del 2020. Se seleccionaron diez variables clínicas: nueve relacionadas con los síntomas y los antecedentes patológicos personales, y una con el estado fallecido. Se aplicó como técnica estadística el análisis de componentes principales. Resultados: Se obtuvo la representación de las variables en el plano de los dos primeros componentes principales. El primer componente estuvo asociado a los síntomas y el segundo componente a los antecedentes patológicos personales no asociados al aparato respiratorio. Esta representación reveló que en el primer y cuarto cuadrantes del plano se ubicaron las variables que llevaron a una evolución desfavorable de los casos, siendo notable para los que se ubican en el cuarto cuadrante. El segundo y tercer cuadrantes fueron indicadores de la evolución favorable, marcada en el segundo cuadrante. Conclusiones: El análisis de componentes principales agrupa las variables clínicas y corrobora que los antecedentes patológicos personales tienen el rol esencial en la evolución desfavorable de los pacientes con COVID-19(AU)


Introduction: Since March 2020, Cuba has been affected by SARS-CoV-2, a highly infectious coronavirus that causes COVID-19. In COVID-19 a set of associated symptoms is presented and its evolution can be influenced by the presence of certain personal pathological antecedents in the host. Objective: To identify through principal components the grouping of clinical variables in cases with COVID-19 in Santiago de Cuba province, Cuba. Methods: We conducted an observational, descriptive and transversal study. The study population consisted of the 49 confirmed cases with COVID-19 in the province of Santiago de Cuba. Ten clinical variables were selected: nine related to symptoms and personal pathological history, and one to the state "deceased". Principal component analysis was applied as a statistical technique. Results: Variables were represented at the level of the first two principal components. The first component was associated to symptoms and the second component to personal pathological antecedents not associated to the respiratory system. This representation revealed that variables leading to an unfavorable evolution of cases were located in the first and fourth quadrants of the plane, being remarkable for those located in the fourth quadrant. The second and third quadrants were indicators of the favorable evolution, being marked in the second quadrant. Conclusions: The principal component analysis groups the clinical variables and corroborates that personal pathological antecedents have an essential role in the unfavorable evolution of patients with COVID-19(AU)


Subject(s)
Humans , Male , Female , Principal Component Analysis/methods , COVID-19/prevention & control , Indicators and Reagents , Epidemiology, Descriptive , Cross-Sectional Studies , Medical History Taking/methods
4.
Article in Chinese | WPRIM | ID: wpr-879073

ABSTRACT

Assessment of the status property(boiling time) is a challenge for the quality control of extraction process in pharmaceutical enterprises. In this study, the pilot extraction process of Phellodendron chinense was used as the research carrier to develop an online near-infrared(NIR) quality control method based on the status property(boiling time). First, the NIR spectra of P. chinense were collected during the two pilot-scale extraction processes, and the status property(boiling time) was assessed by observing the state of bubbles in the extraction tank using a transparent window during the extraction process, which was then used as a reference standard. Based on the moving block standard deviation(MBSD) algorithm, the assessment model using online NIR spectra for boiling time during extraction process was established. In addition, the model was optimized as follows: standard normal variable(SNV) for spectral pretreatment, modeling band of 800-2 200 nm, and window size of 4. The results showed that, with 0.002 0 as the MBSD model threshold, the boiling time can be accurately assessed using online NIR spectra during extraction process. Furthermore, the principal component analysis-moving block standard deviation(PCA-MBSD) model was developed by our group to reduce the influence of online NIR spectral noise and background signal on the model, and the number of principal components was optimized into 2 in the PCA-MBSD model. The results showed that, with 0.000 075 as the PCA-MBSD model threshold, the boiling time can be accurately assessed using online NIR spectra during extraction process, with improved reliability. This study can provide a assessment method for boiling time during extraction process using online NIR spectra, which can replace the empirical judgment in manual observation, and realize the digitalization of the extraction process for big brand traditional Chinese medicine.


Subject(s)
Medicine, Chinese Traditional , Principal Component Analysis , Quality Control , Reproducibility of Results , Spectroscopy, Near-Infrared
5.
Article in Chinese | WPRIM | ID: wpr-878909

ABSTRACT

Oscillating chemical fingerprint is a nonlinear dynamic fingerprint technology that reflects the overall redox activity of the entire system based on potential-time changes in multi-stage chemical reactions. This article summarizes the application of oscillating chemical fingerprint technology combined with mathematical analysis method in the qualitative and quantitative analysis of traditional Chinese medicine and food in recent years, including similarity analysis, principal component analysis, cluster analysis and other qua-litative analysis methods, as well as linear, logarithmic, exponential, polynomial, multivariate analysis and other quantitative analysis methods, so as to provide meaningful information for further quality control analysis of the oscillation chemical fingerprint technology in the field of traditional Chinese medicine and food.


Subject(s)
Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Food , Medicine, Chinese Traditional , Principal Component Analysis , Quality Control
6.
Rev. CEFAC ; 23(4): e13520, 2021. tab, graf
Article in English | LILACS | ID: biblio-1287879

ABSTRACT

ABSTRACT Purpose: to verify the possibility of administering a simple questionnaire to family members who communicate with their children to identify communication functional characteristics of children with different manifestations of language development. Methods: 95 parents/guardians were individually interviewed. Their children were afterwards diagnosed with language disorder (LD), speech production disorder (SPD), autism spectrum disorder (ASD), and typical development (TD). The interviews were conducted with the Communicative Skills Questionnaire to characterize the pragmatic performance. The Student's t-test and the principal component analysis were used in statistical analysis, considering significant p-values < 0.05. Results: the statistical analyses reveal that the questionnaire distinguished the groups of children diagnosed with autism spectrum disorder and language disorder from the groups of children with speech production disorders and typical development. Conclusion: the questionnaire proved to be capable of distinguishing and characterizing, from the pragmatic standpoint, the children with different manifestations of communication development, revealing the impaired pragmatic skills of children with autism spectrum disorders and language disorders.


RESUMO Objetivo: verificar a possibilidade de uso de um questionário simples, aplicado a interlocutores familiares da criança, para identificar as características funcionais de comunicação de crianças com diferentes manifestações do desenvolvimento da linguagem. Métodos: foram realizadas 95 entrevistas individualmente com os responsáveis de crianças posteriormente diagnosticadas com Distúrbio de Linguagem (DL), com Distúrbio de Produção da Fala (DPF), com Transtorno do Espectro do Autismo (TEA) e com Desenvolvimento Típico (DT). Nas entrevistas foi aplicado o Questionário de Habilidades Comunicativas para caracterização do desempenho pragmático. Foram utilizados o teste t de Student e a Análise de Componentes Principais para análise estatística, considerando-se como significante p-valor<0,05. Resultados: as análises estatísticas evidenciam que o uso do questionário desenvolvido permitiu a diferenciação entre os grupos de crianças com diagnósticos de Transtorno do Espectro do Autismo e Distúrbio de Linguagem e o grupo de crianças com diagnóstico de Distúrbios de Produção da Fala e com desenvolvimento típico. Conclusão: o questionário proposto mostrou-se capaz de diferenciar e caracterizar, do ponto de vista pragmático, as crianças com diferentes manifestações do desenvolvimento de comunicação, evidenciando o comprometimento das habilidades pragmáticas de crianças com Transtornos do Espectro do Autismo e com Distúrbios de Linguagem.


Subject(s)
Humans , Male , Female , Child, Preschool , Child , Surveys and Questionnaires , Communication , Autism Spectrum Disorder , Speech Sound Disorder/diagnosis , Language Development , Language Disorders/diagnosis , Parents , Principal Component Analysis
8.
Braz. arch. biol. technol ; 64: e21190760, 2021. tab, graf
Article in English | LILACS | ID: biblio-1249208

ABSTRACT

Abstract The purpose of this research was to discriminate soil fractions using mineralogical and elemental analyses and to show those fractions that present greater contribution to the soil mass attenuation coefficient (μ) as well as their partial cross-sections for photoelectric absorption (PA), coherent scattering (CS) and incoherent scattering (IS). Soil samples from different places of Brazil classified as Yellow Argisol, Yellow Latosol and Gray Argisol were submitted to elemental and mineralogical analyses through energy dispersive X-ray fluorescence (EDXRF) and Rietveld Method with X-ray diffraction data (RM-XRD). The mixture rule was utilized to calculate μ of each soil. The EDXRF analysis showed as predominant elements Si, Al, Fe and Ti oxides. The highest contents were Si (914.3 to 981.3 g kg-1) in the sand fractions, Al (507.9 to 543.7 g kg-1) and Fe (32.5 to 76.7 g kg-1) in the clay fractions, and Ti (18.0 to 59.0 g kg-1) in the silt fractions. The RM-XRD allowed identifying that the sand fractions are predominantly made of quartz (913.3 to 995.0 g kg-1), while the clay greatest portion is made of kaolinite (465.0 to 660.6 g kg-1) and halloysite (169.0 to 385.0 g kg-1). The main effect responsible for μ was IS (50 to 61.4%) followed by PA (28 to 40.1%) and CS (9.9 to 10.6%). By using the principal component analysis (PC-1: 57.5% and PC-2: 20.9%), the samples were differentiated through the discrimination between physical, chemical and mineralogical properties. The results obtained suggest that general information about the radiation interaction in soils can be obtained through the elemental and mineralogical analyses of their fractions.


Subject(s)
Soil Characteristics/analysis , Disaster Prevention and Mitigation , Least-Squares Analysis , Principal Component Analysis
9.
Bol. latinoam. Caribe plantas med. aromát ; 20(1): 61-70, 2021. tab, ilus
Article in English | LILACS | ID: biblio-1284444

ABSTRACT

Identification of the chemical compositionof essential oils is very important for ensuring the quality of finished herbal products. The objective of the study was to analyze the chemical components present in the essential oils of five Beilschmiediaspecies (i.e. B. kunstleri, B. maingayi, B. penangiana, B. madang, and B. glabra) by multivariate data analysis using principal component analysis (PCA) and hierarchical clustering analysis (HCA) methods. The essential oils were obtained by hydrodistillation and fully characterized by gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). A total of 108 chemical components were successfully identified from the essential oils of five Beilschmiediaspecies. The essential oils were characterized by high proportions of ß-caryophyllene (B.kunstleri), δ-cadinene (B. penangianaand B. madang), and ß-eudesmol (B. maingayiand B. glabra). Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed that chemical similarity was highest for all samples, except for B. madang. The multivariate data analysis may be used for the identification and characterization of essential oils from different Beilschmiediaspecies that are to be used as raw materials of traditional herbal products.


La identificación de la composición química de los aceites esenciales es muy importante para garantizar la calidad de los productos herbales terminados. El objetivo del estudio fue analizar los componentes químicos presentes en los aceites esenciales de cinco especies de Beilschmiedia (B. kunstleri, B. maingayi, B. penangiana, B. madangy B. glabra) mediante análisis de datos multivariados utilizando los métodos de análisis de componente principal (PCA) y análisis de agrupamiento jerárquico (HCA). Los aceites esenciales se obtuvieron por hidrodestilación y se caracterizaron completamente por cromatografía de gases (GC) y cromatografía de gases-espectrometría de masas (GC-MS). Se identificaron con éxito un total de 108 componentes químicos a partir de los aceites esenciales de las cinco especies de Beilschmiedia. Los aceites esenciales se caracterizaron por altas proporciones de ß-cariofileno (B. kunstleri), δ-cadineno (B. penangianay B. madang) y ß-eudesmol (B. maingayiy B. glabra). El análisis de componentes principales (PCA) y el análisis de conglomerados jerárquicos (HCA) revelaron que la similitud química fue más alta para todas las muestras, excepto para B. madang. El análisis de datos multivariados puede usarse para la identificación y caracterización de aceites esenciales de diferentes especies de Beilschmiedia que se utilizan como materias primas de productos herbales tradicionales.


Subject(s)
Oils, Volatile/chemistry , Lauraceae/chemistry , Sesquiterpenes/analysis , Cluster Analysis , Distillation , Multivariate Analysis , Chromatography, Gas/methods , Principal Component Analysis , Monoterpenes/analysis
10.
Rev. Bras. Saúde Mater. Infant. (Online) ; 20(3): 735-745, July-Sept. 2020. tab
Article in English | LILACS, SES-SP | ID: biblio-1136444

ABSTRACT

Abstract Objectives: to identify dietary patterns (DP) and associated factors in first grade school-children in elementary schools in the South of Brazil. Methods: school-based cross-sectional study, with a non-probabilistic sample of 782 schoolchildren aged 6 to 8. Food intake was assessed by a food frequency questionnaire. DP were identified using the principal component analysis and the prevalence ratios were obtained by Poisson regression with a robust variance. Results: four DP were identified and accounted for 25.3% of the total variance: "fruit, vegetables and fish" (8.5%), "sweets and salty snacks" (7.0%), "dairy, ham and biscuits" (5.0%) and "common Brazilian food" (4.8%). After the adjustment, breakfast habit and lower frequency of meals in front of a screen increased the probability of adherence to a high consumption of DP of "fruit, vegetables and fish". The maternal schooling level was linearly and inversely associated with DP of "sweets and salty snacks" and "common Brazilian food", and positively related to the DP of "dairy, ham and biscuits". Schoolchildren with food inse-curity and sufficiently active had higher probability of adherence to DP of "common Brazilian food". Conclusions: four DP were identified and associated with food insecurity, maternal socioeconomic characteristics and schoolchildren's behavioral characteristics.


Resumo Objetivos: identificar padrões alimentares (PA) e fatores associados em escolares do primeiro ano do ensino fundamental de escolas municipais do sul do Brasil. Métodos: estudo transversal, de base escolar, com uma amostra não-probabilística de 782 escolares, de 6 a 8 anos. A ingestão alimentar foi avaliada por questionário de frequência alimentar. Os PA foram identificados através da análise de componentes princi-pais e razões de prevalência foram obtidas por regressão de Poisson com variância robusta. Resultados: foram identificados quatro PA que explicaram 25.3% da variância total: "frutas, verduras e peixe" (8,5%), "doces e salgadinhos" (7.0%); "laticínios, presunto e biscoitos" (5.0%) e "comum brasileiro" (4.8%). Após ajuste, hábito de realizar desjejum e baixa frequência de refeições em frente à tela aumentaram a probabilidade de adesão ao consumo elevado do PA "frutas, verduras e peixe". Escolaridade materna associou-se linear-mente e inversamente com o PA "doces e salgadinhos" e "comum brasileiro", e positiva-mente com o PA "laticínios, presunto e biscoitos". Escolares com insegurança alimentar e suficientemente ativos apresentaram maior probabilidade de adesão ao PA "comum brasileiro". Conclusões: identificaram-se quatro PA e foram observadas associações com insegu-rança alimentar, características socioeconômicas maternas e características comportamen-tais dos escolares.


Subject(s)
Humans , Child, Preschool , Child , Socioeconomic Factors , Education, Primary and Secondary , Principal Component Analysis/methods , Child Nutrition , Feeding Behavior , Food Insecurity , Brazil , Poisson Distribution , Cross-Sectional Studies , Eating
11.
Rev. cuba. invest. bioméd ; 39(3): e500, jul.-set. 2020. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1138929

ABSTRACT

Introducción: El delineador de señales electrocardiográficas (ECG) multiderivación basado en la transformada wavelet posee alta resolución espacial y permite eliminar las diferencias interderivación que aparecen tradicionalmente en los métodos uniderivación. Para esto necesita de derivaciones de señales electrocardiográficas ortogonales entre sí para la obtención de un bucle espacial. Objetivo: Desarrollar métodos de ortogonalización de dos o tres derivaciones de señales electrocardiográficas que permitan la generalización del delineador multiderivación basado en la transformada wavelet en cualquier base de datos señales electrocardiográficas con más de una derivación. Métodos: Se implementaron tres métodos de ortogonalización de derivaciones de señales electrocardiográficas: ortogonalización de dos derivaciones a partir de la proyección de vectores, ortogonalización a partir de componentes principales y ortogonalización a partir del método clásico de Gram-Schmidt. Resultados: Se comparó el funcionamiento del delineador multiderivación de ECG cuando es usado cada método de ortogonalización, mediante el cálculo de la media aritmética y la desviación estándar teniendo en cuenta diferentes combinaciones de derivaciones de ambas bases de datos para cada una de las marcas analizadas. Los mejores resultados se obtuvieron con el método análisis de componentes principales y el peor comportamiento con el método de ortogonalización de dos derivaciones. Conclusiones: Los algoritmos de ortogonalización que obtuvieron los mejores resultados fueron los basados en tres derivaciones ortogonales, en la que fue ligeramente superior la descomposición en componentes principales y, por tanto, se considera el método más adecuado para la generalización del delineador multiderivación(AU)


Introduction: The wavelet transform-based multiderivation electrocardiographic (ECG) signal delineator has high spatial resolution and makes it possible to eliminate interderivation differences traditionally appearing in uniderivation methods. But this requires electrocardiographic signal derivations orthogonal to one another to obtain a spatial loop. Objective: Develop orthogonalization methods of two or three electrographic signal derivations allowing generalization of the wavelet transform-based multiderivation delineator in any electrographic signal database with more than one derivation. Methods: Three orthogonalization methods were implemented for electrocardiographic signal derivations: vector projection-based two-derivation orthogonalization, principal component-based orthogonalization, and orthogonalization based on the Gram-Schmidt classic method. Results: A comparison was performed between the operation of the ECG multiderivation delineator when used with each orthogonalization method. The comparison was based on estimation of the arithmetic mean and standard deviation bearing in mind different combinations of derivations from both databases for each of the marks analyzed. The best results were obtained with the principal component analysis method and the worst ones with the two-derivation orthogonalization method. Conclusions: The orthogonalization algorithms obtaining the best results were those based on three orthogonal derivations, in which decomposition into principal components was slightly higher. This is therefore considered to be the most appropriate method for generalization of the multiderivation delineator(AU)


Subject(s)
Humans , Male , Female , Algorithms , Principal Component Analysis/methods , Electrocardiography/methods , Wavelet Analysis
12.
Vaccimonitor (La Habana, Print) ; 29(1)ene.-abr. 2020. graf
Article in Spanish | LILACS, CUMED | ID: biblio-1094635

ABSTRACT

En este trabajo se presenta la aplicación del Análisis de Componentes Principales, mediante el programa THE UNSCRAMBLER versión 8.0, a los datos registrados en un período de 2 años en la etapa de purificación de una planta de producción de Eritropoyetina Humana Recombinante que está basada en varios pasos cromatográficos, de forma similar a los procesos de purificación de proteínas recombinantes que se utilizan como vacunas preventivas o terapéuticas. Se logró reducir dimensionalidad al obtenerse dos componentes principales que explican el 81 por ciento de la varianza de 18 variables originales relacionadas con cuatro pasos cromatográficos. Como resultado se llegó a definir cuáles son las variables que mayor aporte tienen a la variabilidad del proceso en la etapa de purificación, permitiendo extraer información útil para lograr un mayor entendimiento del proceso y enriquecer las estrategias de control en la planta. Dichos resultados corroboraron experiencias prácticas de especialistas de la planta y permitieron dar recomendaciones a considerar en el plan de verificación continuada del proceso como proponer cinco variables como controles de proceso y tener en cuenta que el rendimiento del segundo paso cromatográfico es el más influyente de los rendimientos considerados en la variabilidad(AU)


This paper presents the application of the Principal Component Analysis, using the program THE UNSCRAMBLER version 8.0, to the data recorded during two years in the purification stage of a Recombinant Human Erythropoietin plant that is based on several chromatographic steps, similar to the purification process of recombinant proteins that are used as preventive or therapeutic vaccines. Dimensionality was reduced by obtaining two main components that explain 81 percent of the variance of 18 original variables related to four chromatographic steps. As a result, it was possible to define which variables have the greatest contribution to the variability of the process in the purification stage, allowing to extract useful information to achieve a greater understanding of the process and enrich the control strategies in the plant. These results corroborated practical experiences of plant specialists and allowed for recommendations to be considered in the continuous verification plan of the process, such as proposing three variables as process controls and taking into account that the performance of the second step is the most influential of the performances considered in the variability(AU)


Subject(s)
Biological Products/therapeutic use , Chromatography/methods , Principal Component Analysis/methods , Reference Drugs , Biopharmaceutics
13.
Int. j. morphol ; 38(1): 78-82, Feb. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1056401

ABSTRACT

Dentro del espectro de conformación del cráneo, se reconocen generalmente tres amplias categorías que se corresponden con el concepto de biotipo cefálico, determinado por el Índice Cefálico. El Estos tres biotipos cefálicos son: el braquiocefálico, mesaticefálico y dolicocefálico, pero están basados en medidas lineales. A fin de revisar esta clasificación en base a su geometría, se estudiaron 53 cráneos de perros adultos, correspondientes a los tres grupos craneométricos descritos: 16 braquicéfalos, 20 mesaticéfalos y 17 dolicocéfalos. Para ello se obtuvieron fotografías en el plano ventral, en las que posteriormente se ubicaron 17 hitos anatómicos que se analizaron mediante técnicas de morfometría geométrica. De estos hitos, 5 correspondían a la zona neurocraneal y el resto al esplacnocráneo. Los tres grupos craneométricos mostraron diferencias estadísticamente significativas entre ellos tanto por el tamaño como por la forma. Las variables que contribuyeron más a explicar la diferenciación fueron las ubicadas en el margen más lateral de los arcos cigomáticos y en la base de este mismo arco. Las variables esplacnocraneales presentaban una alometría mucho más marcada que las neurocráneos. Puesto que el arco cigomático debe ser considerado como parte del esplacnocráneo, sugerimos que es tan importante el índice cefálico (que tiene en cuenta la máxima anchura de la cabeza) como el facial (que tiene en cuenta la máxima anchura de la cara). La conformación neurocraneal sería mucho más conservativa y por ende el índice craneal, de mucho menor poder discriminatorio entre grupos. El cambio entre tipos se debería a los músculos masetero y temporal, que tienen su inserción en el arco.


Within the wide conformation of skull spectrum, there are generally three recognized broad categories that correspond to the concept of cephalic biotype, determined by the cephalic index. The three cephalic biotypes are: brachiocephalic, mesaticephalic and dolichocephalic, which are based on linear measures. In order to revise this classification based on its geometry, we studied 53 skulls of adult dogs, corresponding to the three craneometric groups previously described: 16 brachycephalic, 20 mesaticephalic and 17 dolichocephalic. Images on ventral plane were obtained and 17 anatomical landmarks were subsequently located and analyzed by means of geometric morphometric techniques. Five of those landmarks corresponded to the neurocraneal area and the rest of the splanchnocranium. The three craneometric groups showed statistically significant differences between them for both size and shape. The variables that contributed to the differentiation between them were located along the edge of the zygomatic arches and on the basis of this arch. Splanchnocranial variables also presented a much more marked allometry than the neurocraneal variables. Since the zygomatic arch should be considered as part of the splanchnocranium, we suggest that the cephalic index (which takes into account the maximum width of the head) is as important as the facial index (which takes into account the maximum width of the face). The neurocraneal index would be much more conservative, and therefore less discriminatory between the groups.


Subject(s)
Animals , Dogs , Skull/anatomy & histology , Cephalometry/methods , Dogs/anatomy & histology , Zygoma/anatomy & histology , Discriminant Analysis , Principal Component Analysis
14.
Electron. j. biotechnol ; 43: 23-31, Jan. 2020. ilus, graf
Article in English | LILACS | ID: biblio-1087514

ABSTRACT

Background: Hong Qu glutinous rice wine (HQGRW) is brewed under non-aseptic fermentation conditions, so it usually has a relatively high total acid content. The aim of this study was to investigate the dynamics of the bacterial communities and total acid during the fermentation of HQGRW and elucidate the correlation between total acid and bacterial communities. Results: The results showed that the period of rapid acid increase during fermentation occurred at the early stage of fermentation. There was a negative response between total acid increase and the rate of increase in alcohol during the early fermentation stage. Bacterial community analysis using high-throughput sequencing technology was found that the dominant bacterial communities changed during the traditional fermentation of HQGRW. Both principal component analysis (PCA) and hierarchical clustering analysis revealed that there was a great difference between the bacterial communities of Hong Qu starter and those identified during the fermentation process. Furthermore, the key bacteria likely to be associated with total acid were identified by Spearman's correlation analysis. Lactobacillus, unclassified Lactobacillaceae, and Pediococcus were found, which can make significant contributions to the total acid development (| r| N 0.6 with FDR adjusted P b 0.05), establishing that these bacteria can associate closely with the total acid of rice wine. Conclusions: This was the first study to investigate the correlation between bacterial communities and total acid during the fermentation of HQGRW. These findings may be helpful in the development of a set of fermentation techniques for controlling total acid.


Subject(s)
Bacteria/isolation & purification , Wine/microbiology , Pediococcus/isolation & purification , Pediococcus/genetics , Pediococcus/metabolism , Time Factors , Acetobacter/isolation & purification , Acetobacter/genetics , Acetobacter/metabolism , Cluster Analysis , Sequence Analysis , Computational Biology , Principal Component Analysis , Fermentation , Microbiota , Hydrogen-Ion Concentration , Lactobacillus/isolation & purification , Lactobacillus/genetics , Lactobacillus/metabolism
15.
Article in English | WPRIM | ID: wpr-762184

ABSTRACT

PURPOSE: Various immune cells, including eosinophils and neutrophils, are known to contribute to the development of chronic rhinosinusitis with nasal polyps (CRSwNP). However, the current understanding of the role of neutrophils in the development of CRSwNP still remains unclear. Therefore, we investigated risk factors for refractoriness of CRSwNP in an Asian population. METHODS: Protein levels of 17 neutrophil-related mediators in nasal polyps (NPs) were determined by multiplex immunoassay, and exploratory factor analysis using principal component analysis was performed. Immunofluorescence analysis was conducted to detect human neutrophil elastase (HNE) or myeloperoxidase (MPO)-positive cells. Tissue eosinophilic nasal polyp (ENP) and tissue neutrophilia (Neu(high)) were defined as greater than 70 eosinophils and 20 HNE-positive cells, otherwise was classified into non-eosinophilic nasal polyp (NENP) and absence of tissue neutrophilia (Neu(low)). RESULTS: In terms of disease control status, NENP-Neu(low) patients showed the higher rate of disease control than NENP-Neu(high) and ENP-Neu(high) patients. Linear by linear association demonstrated the trend in refractoriness from NENP-Neu(low) to NENP-Neu(high) or ENP-Neu(low) to ENP-Neu(high). When multiple logistic regression was performed, tissue neutrophilia (hazard ratio, 4.38; 95% confidence interval, 1.76-10.85) was found as the strongest risk factor for CRSwNP refractoriness. Additionally, exploratory factor analysis revealed that interleukin (IL)-18, interferon-γ, IL-1Ra, tumor necrosis factor-α, oncostatin M, and MPO were associated with good disease control status, whereas IL-36α and IL-1α were associated with refractory disease control status. In subgroup analysis, HNE-positive cells and IL-36α were significantly upregulated in the refractory group (P = 0.0132 and P = 0.0395, respectively), whereas MPO and IL-18 showed higher expression in the controlled group (P = 0.0002 and P = 0.0009, respectively). Moreover, immunofluorescence analysis revealed that IL-36R⁺HNE⁺-double positive cells were significantly increased in the refractory group compared to the control group. We also found that the ratio of HNE-positive cells to α1 anti-trypsin was increased in the refractory group. CONCLUSIONS: Tissue neutrophilia had an influence on treatment outcomes in the Asian CRSwNP patients. HNE-positive cells and IL-36α may be biomarkers for predicting refractoriness in Asians with CRSwNP. Additionally, imbalances in HNE and α1 anti-trypsin may be associated with pathophysiology of neutrophilic chronic rhinosinusitis.


Subject(s)
Asian Continental Ancestry Group , Biomarkers , Eosinophils , Fluorescent Antibody Technique , Humans , Immunoassay , Interleukin 1 Receptor Antagonist Protein , Interleukin-18 , Interleukins , Leukocyte Elastase , Logistic Models , Nasal Polyps , Necrosis , Neutrophils , Oncostatin M , Peroxidase , Principal Component Analysis , Rhinitis , Risk Factors , Sinusitis
17.
Article in Chinese | WPRIM | ID: wpr-828437

ABSTRACT

Guided by the theory of "component structure", we analyzed the structural characteristics of pharmacodynamical components in genuine Moutan Cortex. The compositions of organic small molecules were determined by high performance liquid chromatography(HPLC) for 20 batches of genuine Moutan Cortex and 12 batches of non-genuine Moutan Cortex. By means of similarity analysis, clustering analysis(CA), principal component analysis(PCA) and orthogonal partial least-squares discriminant analysis(OPLS-DA), the elements in structural characteristics of the pharmacodynamical components were extracted as follows: terpene glycosides components(oxidized paeoniflorin, paeoniflorin,galloyl paeoniflorin, benzoyloxy paeoniflorinand benzoyl paeoniflorin), tannin components(1,3,6-tri-O-galloside acyl glucose, pentagalloyl glucose), and phenolic acid components(methyl gallate, paeonol). The contents and quantity ratios of terpene glycoside component, tannin component and phenolic acid components in genuine Moutan Cortex were determined as 14.1, 12.5, 21.7 mg·g~(-1), 1.00∶0.89∶1.54. The contents and quantity ratios of the oxidized paeoniflorin, paeoniflorin and benzoylpaeoniflorin in the terpene glycoside components were characteristic and determined as 2.05, 7.05, 3.30 mg·g~(-1), 1.00∶3.44∶1.61. The unique structural characteristics of genuine Moutan Cortex provide scientific basis for the formulation of quality standards.


Subject(s)
Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Paeonia , Principal Component Analysis
18.
Article in Chinese | WPRIM | ID: wpr-828436

ABSTRACT

Based on the theory of "component structure", the component structure characteristics of 17 inorganic elements in 20 batches of genuine Moutan Cortex and 12 batches of non-genuine Moutan Cortex were analyzed. The analytical method of inductively coupled plasma mass spectrometry(ICP-MS) for inorganic elements in Moutan Cortex was established, and the fingerprint of inorganic elements was drawn. Through correlation analysis and principal component analysis, the constituent elements of inorganic elements in Moutan Cortex were excavated, namely characteristic elements As, Cr, Pb, Se, K, Cu and Cd. The amount and the quantity relative ratio between the components of genuine and non-genuine Moutan Cortex samples were analyzed. It was found that the amount of characteristic elements in the bulk genuine Moutan Cortex samples was 0.33, 1.42, 1.33, 0.11, 4 385.78, 4.87, 0.49 mg·kg~(-1), with the quantity relative ratio of 1.00∶4.30∶4.03∶0.33∶13 290.24∶14.76∶1.48. The amount of characteristic elements in sub-packaged genuine Moutan Cortex was 0.24, 1.96, 0.36, 0.05, 5 122.01, 4.81, 0.05 mg·kg~(-1), with the quantity relative ratio of 1.00∶8.17∶1.50∶0.21∶21 341.71∶20.04∶0.21. The unique structural characteristics of inorganic elements in genuine Moutan Cortex are studied to provide a basis for the quality control and safety evaluation of Moutan Cortex.


Subject(s)
Drugs, Chinese Herbal , Paeonia , Principal Component Analysis , Quality Control , Trace Elements
19.
Article in Chinese | WPRIM | ID: wpr-828425

ABSTRACT

The present study was performed to establish the UPLC fingerprints of Bolbostemmatis Rhizoma and determine the contents of three saponins by quantitative analysis of multi-components by single marker(QAMS), and provide basis for quality evaluation of Bolbostemmatis Rhizoma. The analysis was carried out on an analytical column of Waters Cortecs T3(2.1 mm×100 mm,1.6 μm)with gradient elution by acetonitrile-0.1% phosphoric acid solution, at a flow rate of 0.3 mL·min~(-1). The detection wavelength was 203 nm, the column temperature was 30 ℃ and the injection volume was 1 μL. The UPLC fingerprints of Bolbostemmatis Rhizoma were established and evaluated by similarity calculation, cluster analysis and principal component analysis. The relative calibration factors of toberoside B and toberoside C were determined with toberoside A as internal reference. The content was calculated by relative calibration factors to develop a method of QAMS. Comparing the results of QAMS with those of ESM, the accuracy and feasibility of one-eva-luation and multi-evaluation can be determined. RESULTS:: showed that the fingerprints of 19 batches of Bolbostemmatis Rhizoma have four common peaks with similarities ranging from 0.754 to 1.000. Cluster analysis and principal component analysis classified 19 batches of Bolbostemmatis Rhizoma into three categories, which was consistent with the similarity evaluation results. The relative deviation between the content of tubeicosides B and C in 19 batches of Bolbostemmatis Rhizoma determined by QAMS and ESM is less than 5.0%, indicating that there was no significant difference between the two methods. Therefore, the UPLC fingerprints combined with QAMS and similarity evaluation can be effectively used to evaluate the quality of Bolbostemmatis Rhizoma.


Subject(s)
Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Principal Component Analysis , Quality Control , Rhizome
20.
Article in Chinese | WPRIM | ID: wpr-828170

ABSTRACT

Spike recorded by multi-channel microelectrode array is very weak and susceptible to interference, whose noisy characteristic affects the accuracy of spike detection. Aiming at the independent white noise, correlation noise and colored noise in the process of spike detection, combining principal component analysis (PCA), wavelet analysis and adaptive time-frequency analysis, a new denoising method (PCWE) that combines PCA-wavelet (PCAW) and ensemble empirical mode decomposition is proposed. Firstly, the principal component was extracted and removed as correlation noise using PCA. Then the wavelet-threshold method was used to remove the independent white noise. Finally, EEMD was used to decompose the noise into the intrinsic modal function of each layer and remove the colored noise. The simulation results showed that PCWE can increase the signal-to-noise ratio by about 2.67 dB and decrease the standard deviation by about 0.4 μV, which apparently improved the accuracy of spike detection. The results of measured data showed that PCWE can increase the signal-to-noise ratio by about 1.33 dB and reduce the standard deviation by about 18.33 μV, which showed its good denoising performance. The results of this study suggests that PCWE can improve the reliability of spike signal and provide an accurate and effective spike denoising new method for the encoding and decoding of neural signal.


Subject(s)
Algorithms , Microelectrodes , Principal Component Analysis , Reproducibility of Results , Signal Processing, Computer-Assisted , Signal-To-Noise Ratio , Wavelet Analysis
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