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1.
Rev. bras. med. esporte ; 27(4): 377-380, Aug. 2021. tab, graf
Article in English | LILACS | ID: biblio-1288597

ABSTRACT

ABSTRACT Objective: This paper discusses the monitoring method of exercise fatigue and analyzes the influencing factors of exercise fatigue. Methods: Based on the feature extraction method of the fatigue image signal, a series of changes caused by exercise fatigue are analyzed by the biofeedback technique. SVM algorithm and neural network model are used to identify the fatigue state of motion. Characteristics of electroencephalogram (EEG) and electromyography (EMG) during fatigue. Results: When sports fatigue occurred, the composite index of bio-feedback technology shows a decrease in HRV index and increases in HRV time-domain indicators, frequency-domain indicators, and SAa values. Conclusions: It has a high degree of systematization. The proposed method is non-invasive and has practical application value. Level of evidence II; Therapeutic studies - investigation of treatment results.


RESUMO Objetivo: este artigo discute o método de monitoramento da fadiga do exercício e analisa os fatores que influenciam a fadiga do exercício. Métodos: Com base no método de extração de características do sinal da imagem da fadiga, uma série de alterações causadas pela fadiga do exercício são analisadas pela técnica de biofeedback. O algoritmo SVM e o modelo de rede neural são usados para identificar o estado de fadiga do movimento. Características do eletroencefalograma (EEG) e eletromiografia (EMG) durante a fadiga. Resultados: Quando a fadiga esportiva ocorreu, o índice composto da tecnologia de bio-feedback mostra uma diminuição no índice de VFC e aumentos nos indicadores de VFC no domínio do tempo, indicadores no domínio da frequência e valores SAa. Conclusões: Possui alto grau de sistematização. O método proposto é não invasivo e tem valor de aplicação prática. Nível de evidência II; Estudos terapêuticos- investigação dos resultados do tratamento.


RESUMEN Objetivo: Este artículo analiza el método de seguimiento de la fatiga por ejercicio y analiza los factores que influyen en la fatiga por ejercicio. Métodos: Basado en el método de extracción de características de la señal de la imagen de fatiga, se analizan una serie de cambios causados por la fatiga del ejercicio mediante la técnica de biorretroalimentación. El algoritmo SVM y el modelo de red neuronal se utilizan para identificar el estado de movimiento de fatiga. Características del electroencefalograma (EEG) y electromiografía (EMG) durante la fatiga. Resultados: cuando se produjo la fatiga deportiva, el índice compuesto de la tecnología de bio-retroalimentación muestra una disminución en el índice de HRV y aumentos en los indicadores de dominio de tiempo de HRV, indicadores de dominio de frecuencia y valores de SAa. Conclusiones: Tiene un alto grado de sistematización. El método propuesto no es invasivo y tiene un valor de aplicación práctica. Nivel de evidencia II; Estudios terapéuticos- investigación de los resultados del tratamiento.


Subject(s)
Humans , Male , Female , Sports , Exercise , Muscle Fatigue , Athletes , Biofeedback, Psychology , Algorithms , Electrocardiography , Electroencephalography , Electromyography
2.
Rev. colomb. anestesiol ; 49(2): e201, Apr.-June 2021. tab, graf
Article in English | LILACS, COLNAL | ID: biblio-1251498

ABSTRACT

Abstract Introduction The analysis of the electrical activity of the brain using scalp electrodes with electroencephalography (EEG) could reveal the depth of anesthesia of a patient during surgery. However, conventional EEG equipment, due to its price and size, are not a practical option for the operating room and the commercial units used in surgery do not provide access to the electrical activity. The availability of low-cost portable technologies could provide for further research on the brain activity under general anesthesia and facilitate our quest for new markers of depth of anesthesia. Objective To assess the capabilities of a portable EEG technology to capture brain rhythms associated with the state of consciousness and the general anesthesia status of surgical patients anesthetized with propofol. Methods Observational, cross-sectional study that reviewed 10 EEG recordings captured using OpenBCI portable low-cost technology, in female patients undergoing general anesthesia with propofol. The signal from the frontal electrodes was analyzed with spectral analysis and the results were compared against the reports in the literature. Results The signal captured with frontal electrodes, particularly α rhythm, enabled the distinction between resting with eyes closed and with eyes opened in a conscious state, and sustained anesthesia during surgery. Conclusions It is possible to differentiate a resting state from sustained anesthesia, replicating previous findings with conventional technologies. These results pave the way to the use of portable technologies such as the OpenBCI tool, to explore the brain dynamics during anesthesia.


Resumen Introducción El análisis de la actividad eléctrica cerebral mediante electrodos ubicados sobre el cuero cabelludo con electroencefalografía (EEG) podría permitir conocer la profundidad anestésica de un paciente durante cirugía. Sin embargo, los equipos de EEG convencionales, por su precio y tamaño, no son una alternativa práctica en quirófanos y los equipos comerciales usados en cirugía no permiten acceder a la actividad eléctrica. Disponer de tecnologías portables y de bajo costo aumentaría el número de investigaciones sobre la actividad cerebral bajo anestesia general y facilitaría la búsqueda de nuevos marcadores para la profundidad anestésica. Objetivo Evaluar la capacidad de una tecnología EEG portable de adquirir ritmos cerebrales relacionados con el estado consciente y el estado de anestesia general de pacientes en cirugía anestesiados con propofol. Métodos Estudio observacional de corte transversal en el que se analizaron datos de 10 registros EEG obtenidos mediante tecnología portable y de bajo costo OpenBCI, de pacientes de sexo femenino que fueron sometidas a anestesia general con propofol. La señal obtenida de los electrodos frontales se analizó mediante análisis espectral y se contrastaron los resultados con lo descrito en la literatura. Resultados La señal obtenida con electrodos frontales, especialmente el ritmo α, permitió diferenciar el reposo con ojos cerrados y ojos abiertos en estado consciente, del estado de mantenimiento de la anestesia durante cirugía. Conclusiones Se logra la diferenciación de estado de reposo y de mantenimiento de la anestesia replicando hallazgos previos de tecnologías convencionales. Estos resultados abren la posibilidad de utilizar las tecnologías portables como el OpenBCI para investigar la dinámica cerebral durante la anestesia.


Subject(s)
Humans , Spectrum Analysis , Technology , Electroencephalography , Anesthesia, General , Brain Mapping , Propofol , Observational Studies as Topic
3.
Article in Chinese | WPRIM | ID: wpr-880467

ABSTRACT

In order to obtain comprehensive brain activity information conveniently in real time, this study designs a portable EEG and blood oxygen synchronous acquisition system for real-time monitoring of brain functional activities. The EEG electrodes filter and amplify the detected EEG signals, and send them to the microprocessor via Bluetooth to analyze the EEG data; the photoelectric probe converts the optical signals into electrical signals, which are amplified and separated, filtered, and AD converted, calculates the brain's oxygenation and blood-red protein (ΔHbO


Subject(s)
Brain , Electrodes , Electroencephalography , Oxygen
4.
Article in Chinese | WPRIM | ID: wpr-879880

ABSTRACT

OBJECTIVE@#To study the effect of oral motor intervention (OMI) on brain function development in preterm infants.@*METHODS@#A total of 112 preterm infants were stratified into small-gestational-age (30-31@*RESULTS@#On day 7 of OMI, the small-gestational-age intervention group had lower upper bounds of voltage and bandwidth and a higher aEEG score than the small-gestational-age control group (@*CONCLUSIONS@#OMI can promote the maturation of aEEG background activities, improve neurobehavioral manifestations, and accelerate brain function development in preterm infants.


Subject(s)
Brain , Electroencephalography , Gestational Age , Humans , Infant , Infant, Newborn , Infant, Premature , Infant, Small for Gestational Age
5.
Article in Chinese | WPRIM | ID: wpr-879821

ABSTRACT

OBJECTIVE@#To study the changes and clinical significance of amplitude-integrated electroencephalography (aEEG) in preterm infants with bronchopulmonary dysplasia (BPD).@*METHODS@#A total of 156 preterm infants with a gestational age of ≤ 32@*RESULTS@#Compared with the non-BPD group, the BPD group had a significantly lower total aEEG score at the corrected gestational age of 33-34@*CONCLUSIONS@#Preterm infants with BPD (especially moderate to severe BPD) have a lower aEEG score than those without BPD, suggesting that their nervous system development may lag behind that of non-BPD preterm infants with the same gestational age. Therefore, early nervous system evaluation and intervention are necessary for preterm infants with BPD.


Subject(s)
Bronchopulmonary Dysplasia/diagnosis , Electroencephalography , Gestational Age , Hospitalization , Humans , Infant , Infant, Newborn , Infant, Premature
6.
Article in Chinese | WPRIM | ID: wpr-879271

ABSTRACT

Sleep stage classification is a necessary fundamental method for the diagnosis of sleep diseases, which has attracted extensive attention in recent years. Traditional methods for sleep stage classification, such as manual marking methods and machine learning algorithms, have the limitations of low efficiency and defective generalization. Recently, deep neural networks have shown improved results by the capability of learning complex pattern in the sleep data. However, these models ignore the intra-temporal sequential information and the correlation among all channels in each segment of the sleep data. To solve these problems, a hybrid attention temporal sequential network model is proposed in this paper, choosing recurrent neural network to replace traditional convolutional neural network, and extracting temporal features of polysomnography from the perspective of time. Furthermore, intra-temporal attention mechanism and channel attention mechanism are adopted to achieve the fusion of the intra-temporal representation and the fusion of channel-correlated representation. And then, based on recurrent neural network and inter-temporal attention mechanism, this model further realized the fusion of inter-temporal contextual representation. Finally, the end-to-end automatic sleep stage classification is accomplished according to the above hybrid representation. This paper evaluates the proposed model based on two public benchmark sleep datasets downloaded from open-source website, which include a number of polysomnography. Experimental results show that the proposed model could achieve better performance compared with ten state-of-the-art baselines. The overall accuracy of sleep stage classification could reach 0.801, 0.801 and 0.717, respectively. Meanwhile, the macro average F1-scores of the proposed model could reach 0.752, 0.728 and 0.700. All experimental results could demonstrate the effectiveness of the proposed model.


Subject(s)
Electroencephalography , Neural Networks, Computer , Polysomnography , Sleep , Sleep Stages
7.
Article in Chinese | WPRIM | ID: wpr-879268

ABSTRACT

Brain-computer interface (BCI) is a revolutionizing human-computer Interaction, which is developing towards the direction of intelligent brain-computer interaction and brain-computer intelligent integration. However, the practical application of BCI is facing great challenges. The maturity of BCI technology has not yet reached the needs of users. The traditional design method of BCI needs to be improved. It is necessary to pay attention to BCI human factors engineering, which plays an important role in narrowing the gap between research and practical application, but it has not attracted enough attention and has not been specifically discussed in depth. Aiming at BCI human factors engineering, this article expounds the design requirements (from users), design ideas, objectives and methods, as well as evaluation indexes of BCI with the human-centred-design. BCI human factors engineering is expected to make BCI system design under different use conditions more in line with human characteristics, abilities and needs, improve the user satisfaction of BCI system, enhance the user experience of BCI system, improve the intelligence of BCI, and make BCI move towards practical application.


Subject(s)
Brain , Brain-Computer Interfaces , Electroencephalography , Ergonomics , Humans , User-Computer Interface
8.
Article in Chinese | WPRIM | ID: wpr-879247

ABSTRACT

At present the prediction method of epilepsy patients is very time-consuming and vulnerable to subjective factors, so this paper presented an automatic recognition method of epilepsy electroencephalogram (EEG) based on common spatial model (CSP) and support vector machine (SVM). In this method, the CSP algorithm for extracting spatial characteristics was applied to the detection of epileptic EEG signals. However, the algorithm did not consider the nonlinear dynamic characteristics of the signals and ignored the time-frequency information, so the complementary characteristics of standard deviation, entropy and wavelet packet energy were selected for the combination in the feature extraction stage. The classification process adopted a new double classification model based on SVM. First, the normal, interictal and ictal periods were divided into normal and paroxysmal periods (including interictal and ictal periods), and then the samples belonging to the paroxysmal periods were classified into interictal and ictal periods. Finally, three categories of recognition were realized. The experimental data came from the epilepsy study at the University of Bonn in Germany. The average recognition rate was 98.73% in the first category and 99.90% in the second category. The experimental results show that the introduction of spatial characteristics and double classification model can effectively solve the problem of low recognition rate between interictal and ictal periods in many literatures, and improve the identification efficiency of each period, so it provides an effective detecting means for the prediction of epilepsy.


Subject(s)
Algorithms , Electroencephalography , Epilepsy/diagnosis , Humans , Signal Processing, Computer-Assisted , Support Vector Machine
9.
Article in Chinese | WPRIM | ID: wpr-879243

ABSTRACT

With the advantage of providing more natural and flexible control manner, brain-computer interface systems based on motor imagery electroencephalogram (EEG) have been widely used in the field of human-machine interaction. However, due to the lower signal-noise ratio and poor spatial resolution of EEG signals, the decoding accuracy is relative low. To solve this problem, a novel convolutional neural network based on temporal-spatial feature learning (TSCNN) was proposed for motor imagery EEG decoding. Firstly, for the EEG signals preprocessed by band-pass filtering, a temporal-wise convolution layer and a spatial-wise convolution layer were respectively designed, and temporal-spatial features of motor imagery EEG were constructed. Then, 2-layer two-dimensional convolutional structures were adopted to learn abstract features from the raw temporal-spatial features. Finally, the softmax layer combined with the fully connected layer were used to perform decoding task from the extracted abstract features. The experimental results of the proposed method on the open dataset showed that the average decoding accuracy was 80.09%, which is approximately 13.75% and 10.99% higher than that of the state-of-the-art common spatial pattern (CSP) + support vector machine (SVM) and filter bank CSP (FBCSP) + SVM recognition methods, respectively. This demonstrates that the proposed method can significantly improve the reliability of motor imagery EEG decoding.


Subject(s)
Algorithms , Brain-Computer Interfaces , Electroencephalography , Humans , Imagination , Neural Networks, Computer , Reproducibility of Results
10.
Medicina (B.Aires) ; 80(6): 707-709, dic. 2020. graf
Article in Spanish | LILACS | ID: biblio-1250298

ABSTRACT

Resumen Varón de 33 años con antecedentes de convulsiones febriles y discapacidad intelectual moderada grave, inició a los 2 años convulsiones tanto focales como generalizadas atónicas diarias, que ocasionaron traumas faciales. Debido a la farmacorresistencia se implantó un estimulador del nervio vago, con respuesta parcial al mismo. Durante su seguimiento, se hizo diagnóstico de enfermedad celíaca. Al realizar una tomografía de encéfalo se evidenciaron calcificaciones piriformes occipitales bilaterales, estableciéndose el diagnostico de enfermedad celiaca, epilepsia y calcificaciones cerebrales. Se le indicó dieta libre de gluten y continuar el tratamiento farmacológico, logrando de esta manera una reducción de las crisis.


Abstract A 33-year-old man with a history of febrile seizures and moderate-severe intellectual disability began, at 2 years, both focal and generalized daily atonic seizures, which caused facial trauma. Due to drug resistance, a vagus nerve stimulator was implanted, with partial response to it. During his follow-up, he was diagnosed with celiac disease. When performing a brain tomography, bilateral occipital pyriform calcifications were evidenced, establishing the diagnosis of celiac disease, epilepsy and cerebral calcifications. A gluten-free diet was indicated and pharmacological treatment continued, thus achieving a reduction in seizures.


Subject(s)
Humans , Male , Adult , Brain Diseases , Calcinosis/diagnostic imaging , Celiac Disease/complications , Epilepsy , Electroencephalography
11.
Rev. Fac. Med. (Bogotá) ; 68(4): 577-585, oct.-dic. 2020. tab, graf
Article in Spanish | LILACS, COLNAL | ID: biblio-1149559

ABSTRACT

Resumen Introducción. La actividad cerebral, teniendo en cuenta su dinámica aperiódica, puede ser estudiada mediante funciones no lineales o sistemas caóticos. Objetivo. Estudiar las diferencias inter e intra-hemisféricas de la relación orden/caos en la actividad cerebral de la onda beta en estudiantes universitarios durante la resolución de un test de atención. Materiales y métodos. La muestra estuvo compuesta por 10 estudiantes universitarios de educación física, todos hombres, a quienes se les aplicó la prueba de atención de Toulouse-Piéron para registrar, mediante electroencefalograma, su actividad cerebral por 8 minutos durante la ejecución de la prueba. Para el registro de la actividad cerebral se usó el dispositivo Emotiv Epoc®. Resultados. Se observaron diferencias intra e inter-hemisfericas en la relación orden/caos entre los participantes en las regiones prefrontales, temporales y occipitales (p<0.05), así como diversas correlaciones entre estas regiones (r>0.600), las cuales variaron tanto entre los sujetos, como a nivel individual a medida que avanzaba la ejecución de la prueba. Conclusión. A medida que la ejecución de la prueba avanzaba, las asimetrías hemisféricas aumentaban, por lo que es posible concluir que la participación en procesos cognitivos continuos produce diferencias en la actividad cerebral; sin embargo, es necesario realizar estudios similares en muestras con diferentes características (diversos grupos etarios, mujeres, etc.) y donde se apliquen otras pruebas de atención para poder confirmar o contrastar los resultados aquí reportados.


Abstract Introduction: Considering its aperiodic dynamics, brain activity can be studied by means of non-linear functions or chaotic systems. Objective: To analyze the inter- and intra-hemispheric differences of the order/chaos relationship observed in the beta waves of university students during their participation in an attention test. Materials and methods: The sample was composed of 10 university physical education students, all males, who were administered the Toulouse-Piéron Concentrated Attention Test to record, by means of electroencephalogram, their brain activity for 8 minutes during the execution of the test. The Emotiv Epoc® device was used to record brain activity. Results: Intra- and inter-hemispheric differences were observed in the order/chaos relationship among the participants in the prefrontal, temporal and occipital regions (p<0.05), as well as various correlations between these regions (r>0.600), which varied both between participants and individually as the execution of the test progressed. Conclusion: As the test progressed, hemispheric asymmetries increased, which allows concluding that engaging in continuous cognitive processes causes brain activity differences. However, it is necessary to carry out similar studies in samples with different characteristics (different age groups, women, etc.) in which other attention tests are used to confirm or contrast the results reported here.


Subject(s)
Humans , Electroencephalography , Attention , Nonlinear Dynamics
12.
Ciênc. cogn ; 25(1): 30-42, 30 nov. 2020. tab
Article in Portuguese | LILACS | ID: biblio-1292732

ABSTRACT

O objetivo geral deste estudo é analisar, por meio da revisão sistemática da literatura, os efeitos da fadiga mental provocada por uma tarefa cognitiva de imagética motora. Para a análise literária, foram utilizados os bancos de dados eletrônicos: Public Medline (PubMed), Scientific Electronic Library Online (Scielo) e Scopus. Foram analisados estudos experimentais, realizados em humanos, nos idiomas português e inglês, publicados de 2004 a 2019. As palavras chaves utilizadas foram: motor imagery/ imagética motora, sustained attention/ atenção sustentada e mental fadigue/ fadiga mental. A tarefa de Imagética Motora (IM) é definida como uma execução mental do movimento do corpo, entretanto, sem nenhuma saída motora. Alguns autores sugerem que o indivíduo começaria a desenvolver fadiga acima de 60 trilhas de imagética motora. Dessa forma, pode comprometer os resultados de protocolos terapêuticos e/ou desportivos, além de desempenhar um risco eminente de problemas de saúde, como é o caso das doenças cardiovasculares, epiléticas e Karoshi (morte por excesso de trabalho). Sendo assim, em tarefas mais prolongadas, a fadiga mental diminui o desempenho na tarefa e aumenta o tempo para a sua execução. Portanto, conclui-se que o tempo da tarefa cognitiva interfere no tempo de reação devido a fadiga mental provocado pela tarefa cognitiva de atenção sustentada.


The general objective of this study is to analyze the effects of mental fatigue caused by cognitive task of motor imagery through the systematic analysis of the literature. For the literary analysis we used the electronic databases: Public Medline (PubMed), Scientific Electronic Library Online (Scielo) and Scopus. The experimental studieswere performed in humans, both Portuguese and English, published from 2004 to 2019. The keywords used were motor imagery, sustained attention and mental fatigue. The task of Motor Imagery (IM) it is as a mental execution of body movement, however, with not motor output response. Some authors suggest people begin to develop fatigue that over 60 tracks of motor imagery. In this way, it can compromise the results of therapeutic and/or sports protocols, as well as pose an imminent risk of health problems, such as cardiovascular diseases, epilepsy and Karoshi (death from overwork). Thus, in longer tasks, mental fatigue decreases performance on the task and increases the time for its execution. Therefore, it is conclusion that time of the cognitive task interferes in the reaction time due to the mental fatigue caused by the cognitive task of sustained attention.


Subject(s)
Humans , Data Collection , Mental Fatigue , Attention , Electroencephalography , Fatigue
15.
Rev. cuba. invest. bioméd ; 39(3): e626, jul.-set. 2020. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1138932

ABSTRACT

Introducción: El electroencefalograma permite registrar la actividad eléctrica cerebral en estado de reposo y durante la ejecución de tareas cognitivas. Objetivo: Evaluar si la actividad cerebral, analizada como dinámica no lineal, se mantiene estable durante diferentes ventanas temporales en una condición basal con ojos cerrados. Métodos: Se realizaron registros con electroencefalograma durante dos minutos a 14 estudiantes universitarios varones. Posteriormente, se compararon las medias de índices de Hurst (H) en ventanas temporales de 60, 30 y 10 segundos. Resultados: Las medias de los índices H son estables a través de diferentes ventanas temporales en las regiones prefrontales, temporales y occipitales. Conclusiones: Los registros de electroencefalograma en condiciones basales con los ojos cerrados son válidos para comparar protocolos experimentales de resolución de problemas cognitivos utilizando el exponente de Hurst en los sujetos de la muestra y en otros con características similares(AU)


Introduction: Electroencephalography makes it possible to record brain electrical activity at rest and during the performance of cognitive tasks. Objective: Determine whether brain activity analyzed as nonlinear dynamics remains stable during various time windows in basal, eyes closed conditions. Methods: Electroencephalographic records of 14 male university students were taken during two minutes. Hurst's index means (H) were then compared in time windows of 60, 30 and 10 seconds. Results: H index means are stable throughout the various time windows in the prefrontal, temporal and occipital regions. Conclusions: Electroencephalographic records in basal, eyes closed conditions are valid to compare experimental protocols for cognitive problem solving using the Hurst exponent in subjects from the sample as well as others of similar characteristics(AU)


Subject(s)
Humans , Male , Young Adult , Rest , Electroencephalography , Students , Nonlinear Dynamics
16.
Arq. neuropsiquiatr ; 78(8): 512-522, Aug. 2020. tab, graf
Article in English | LILACS | ID: biblio-1131740

ABSTRACT

ABSTRACT Background: Neurophysiological studies are ancillary tools to better understand the features and nature of movement disorders. Electromyography (EMG), together with electroencephalography (EEG) and accelerometer, can be used to evaluate a hypo and hyperkinetic spectrum of movements. Specific techniques can be applied to better characterize the phenomenology, help distinguish functional from organic origin and assess the most probable site of the movement generator in the nervous system. Objective: We intend to provide an update for clinicians on helpful neurophysiological tools to assess movement disorders in clinical practice. Methods: Non-systematic review of the literature published up to June 2019. Results: A diversity of protocols was found and described. These include EMG analyses to define dystonia, myoclonus, myokymia, myorhythmia, and painful legs moving toes pattern; EMG in combination with accelerometer to study tremor; and EEG-EMG to study myoclonus. Also, indirect measures of cortical and brainstem excitability help to describe and diagnose abnormal physiology in Parkinson's disease, atypical parkinsonism, dystonia, and myoclonus. Conclusion: These studies can be helpful for the diagnosis and are usually underutilized in neurological practice.


RESUMO Introdução: Os estudos neurofisiológicos são métodos auxiliares para compreender melhor as características e a natureza dos distúrbios do movimento. A eletromiografia (EMG), em associação com o eletroencefalograma (EEG) e o acelerômetro, podem ser utilizados para avaliar um espectro de movimentos hipo e hipercinéticos. Técnicas específicas podem ser aplicadas para melhor caracterizar a fenomenologia, ajudar a distinguir a origem psicogênica da orgânica e avaliar o local mais provável de geração do movimento no sistema nervoso. Objetivo: Pretendemos fornecer ao clínico uma atualização sobre ferramentas neurofisiológicas úteis para avaliar distúrbios do movimento na prática clínica. Métodos: Revisão não sistemática da literatura publicada até junho de 2019. Resultados: Uma diversidade de protocolos foi encontrada e descrita. Dentre eles, inclui-se o uso de EMG para a definição do padrão de distonia, mioclonia, mioquimia, miorritmia e painfull legs moving toes, além do uso de EMG em associação ao acelerômetro para avaliar tremor e, em associação ao EEG para avaliar mioclonia. Ademais, técnicas para medida indireta de excitabilidade cortical e do tronco encefálico ajudam a descrever e diagnosticar a fisiologia anormal da doença de Parkinson, parkinsonismo atípico, distonia e mioclonia. Conclusão: Esses estudos podem ser úteis para o diagnóstico e geralmente são subutilizados na prática neurológica.


Subject(s)
Humans , Dystonia , Movement Disorders/diagnosis , Myoclonus/diagnosis , Tremor/diagnosis , Electroencephalography , Electromyography , Neurophysiology
17.
Arq. neuropsiquiatr ; 78(6): 356-360, June 2020. tab, graf
Article in English | LILACS | ID: biblio-1131711

ABSTRACT

ABSTRACT Background: Generalized periodic discharges (GPDs) are rare patterns that can be found in long-term electroencephalographic monitoring in critical patients. These patterns have been correlated with non-seizure crisis and non-convulsive status epilepticus, associated with poor prognosis. Objective: To compare the outcome between patients who developed GPDs and patients with other abnormalities in long-term electroencephalographic monitoring. Methods: A retrospective study was performed by analyzing the medical records of 112 patients over 18 years who developed GPDs during long-term electroencephalographic monitoring (12‒16 hours of monitoring) in the intensive care unit of a general hospital, compared with a group that had only nonspecific abnormalities in the monitoring. Results: Age and cardiorespiratory arrest (CA) were risk factors for death - OR 1.04 (95% CI 1,02 - 1,07) and p<0.001; OR 3.00 (95% CI 1,01 - 8,92) and p=0.046, respectively. It was not possible to evaluate if GPDs alone were associated with an unfavorable outcome or would be a bias for the development of CA in these patients. However, of the six isolated GPDs cases, 2/3 evolved to death, showing a tendency to worse prognosis. A significant difference (p=0.031) was observed for a worse outcome when comparing the group of 28 patients who presented GPD or CA with the other group which did not present any of these variables; of these 28 patients, 20 (71.4%) died. Conclusions: The presence of post-CA GPDs was associated with worse prognosis, but it was not clear whether these patterns are independent factors of an unfavorable evolution.


RESUMO Introdução: As descargas periódicas generalizadas (DPG) são padrões raros que podem ser encontrados durante monitorização eletroencefalográfica prolongada (MEP) em pacientes críticos. Esses padrões têm sido correlacionados com crises não convulsivas e estado de mal epiléptico não convulsivo, associados a um pior prognóstico. Objetivo: Comparar o desfecho entre pacientes que desenvolveram DPG e pacientes com anormalidades inespecíficas na MEP. Métodos: Foi realizado um estudo retrospectivo através da análise dos prontuários de 112 pacientes acima de 18 anos que desenvolveram DPG durante MEP (de 12‒16 horas de monitorização) na unidade de terapia intensiva de um hospital geral, comparando com um grupo que apresentou apenas anormalidades inespecíficas na MEP. Resultados: As variáveis idade e parada cardiorrespiratória (PCR) se mostraram como fatores de risco estatisticamente significativos para óbito - OR 1,04 (IC 95% 1,02 - 1,07) e p<0,001; OR 3,00 (IC 95% 1,01 - 8,92) e p=0,046, respectivamente. Não foi possível avaliar se DPG isoladamente se associaram a um desfecho desfavorável ou seriam um viés para o desenvolvimento de PCR nesses pacientes. Porém, dos seis casos de DPG isoladas, 2/3 evoluíram para óbito, o que revela uma tendência a pior prognóstico. Foi observada diferença significativa (p=0,031) para pior desfecho ao comparar o grupo de 28 pacientes que apresentou DPG ou PCR com o outro grupo que não apresentou nenhuma dessas variáveis, sendo que desses 28 pacientes, 20 (71,4%) foram a óbito. Conclusões: A presença de DPG pós-PCR está associada a pior prognóstico, porém não ficou claro se esses padrões são fatores independentes de evolução desfavorável.


Subject(s)
Humans , Patient Discharge , Status Epilepticus , Retrospective Studies , Hospital Mortality , Electroencephalography/methods
19.
Arq. neuropsiquiatr ; 78(4): 199-205, Apr. 2020. tab, graf
Article in English | LILACS | ID: biblio-1098082

ABSTRACT

Abstract Background: Motor Imagery (MI) represents the cognitive component of the movement and recruits dopaminergic systems. Objective: To investigate the role of dopaminergic system through the action of methylphenidate and risperidone over beta coherence during execution, action observation and motor imagery. Methods: Electroencephalography (EEG) data were recorded before and after the substance intake. For statistical analysis, a three-way ANOVA was used to identify changes in beta coherence induced by the group, task and the moment variables. Statistical significance was set at p≤0.007. Results: We found a main effect for group for C3/CZ, and a main effect for task for CZ/C4 pairs of electrodes. Furthermore, significant differences were found in the post-drug administration between groups for C3/CZ pair of electrodes, and between task for C4/CZ pair of electrodes. Conclusion: The administration of methylphenidate and risperidone was able to produce electrocortical changes of the cortical central regions, even when featuring antagonistic effects on the dopaminergic pathways. Moreover, the execution task allowed beta-band modulation increase.


Resumo Introdução: A imagética motora (IM) representa o componente cognitivo do movimento e recruta os sistemas dopaminérgicos. Objetivo: Investigar o papel do sistema dopaminérgico por meio da ação do metilfenidato e da risperidona sobre a coerência em beta durante a execução, observação de ação e imagética motora. Métodos: Os dados de eletroencefalografia (EEG) foram registrados antes e depois da ingestão das substâncias. Para a análise estatística, uma ANOVA de três vias foi utilizada para identificar mudanças na coerência beta induzidas pelas variáveis grupo, tarefa e momento. A significância estatística foi estabelecida em p≤0,007. Resultados: Encontramos um efeito principal para o grupo C3/CZ e um efeito principal para a tarefa nos pares de eletrodos CZ/C4. Além disso, diferenças significativas foram encontradas após a administração da droga entre os grupos para o par de eletrodos C3/CZ e entre tarefa para o par de eletrodos C4/CZ. Conclusão: A administração de metilfenidato e risperidona foi capaz de produzir alterações eletrocorticais das regiões somatomotoras, mesmo apresentando efeitos antagônicos nas vias dopaminérgicas. Além disso, a tarefa de execução provocou maior modulação da banda beta.


Subject(s)
Humans , Adult , Dopamine Agents/therapeutic use , Imagery, Psychotherapy , Electroencephalography , Movement
20.
Rev. salud pública Parag ; 10(1): [P52-P58], mar. 2020.
Article in Spanish | LILACS, BDNPAR | ID: biblio-1087915

ABSTRACT

La aplicación de tecnologías disruptivas en telemedicina facilita la accesibilidad a tecnologías diagnósticas de poblaciones remotas sin acceso a especialistas y mejora la cobertura universal de servicios de salud. Este estudio realizado por la Unidad de Telemedicina del Ministerio de Salud Pública y Bienestar Social (MSPBS) en colaboración con el Dpto. de Ingeniería Biomédica e Imágenes del Instituto de Investigaciones en Ciencias (IICS-UNA) sirvió para evaluar la utilidad de aplicaciones de tecnologías disruptivas en telemedicina para la cobertura universal de servicios de salud. Para el efecto se analizaron los resultados obtenidos por la red de telediagnóstico implementado en 67 hospitales del MSPBS. En dicho sentido se analizaron 540.397 diagnósticos remotos realizados entre enero del 2014 y septiembre de 2019. Del total, el 33,174 % (179.274) correspondieron a estudios de tomografía, 64,825 % (350.313) a electrocardiografía (ECG), 1,997 % (10.791) a electroencefalografía (EEG) y 0,004 % (19) a ecografía. La concordancia entre el diagnostico remoto y el diagnóstico "cara a cara" fue del 95 %. Con el diagnostico remoto se logró una reducción del coste que supone un beneficio importante para cada ciudadano del interior del país. Los resultados obtenidos evidencian que la aplicación de tecnologías disruptivas en telemedicina puede contribuir para la cobertura universal de servicios con tecnologías diagnósticas, maximizando el tiempo y productividad del profesional, aumentando el acceso y la equidad, y disminuyendo los costos. Sin embargo antes de su implementación generalizada se deberá contextualizar con el perfil epidemiológico regional. Palabras claves: tecnología disruptiva, aplicación, tecnología diagnóstica, telemedicina, cobertura universal, servicios de salud, innovación tecnológica.


Introduction: The application of disruptive technologies in telemedicine facilitates accessibility to diagnostic technologies of remote populations without access to specialists and improves universal coverage of health services. This study was carried out by the Telemedicine Unit of the Ministry of Public Health and Social Welfare (MSPBS) in collaboration with the Department of Biomedical Engineering and Imaging of the Institute of Research in Sciences (IICS-UNA). Objective: to evaluate the usefulness of disruptive technology applications in telemedicine for universal coverage of health services January 2014 to September 2019. Material and Method: observational and descriptive design study included 540,397 patients. For this purpose, the results obtained by the telediagnostic network implemented in 67 MSPBS hospitals were analyzed. In this regard, 540,397 remote diagnoses carried out between January 2014 and September 2019 were analysed. Results: of the total, 33.174% (179,274) were CT studies, 64.825% (350,313) electrocardiography (ECG), 1.997% (10,791) electroencephalography (EEG) and 0.004% (19) ultrasound. The concordance between remote diagnosis and "face-to-face" diagnosis was 95%. Conclusion: remote diagnosis achieved a cost reduction that is an important benefit for every citizen of the interior of the country. The results show that the application of disruptive technologies in telemedicine can contribute to the universal coverage of services with diagnostic technologies, maximizing the time and productivity of the professional, increasing access and equity, and lowering costs. However, prior to widespread implementation, the regional epidemiological profile should be contextualized. Keywords: Disruptive technology, application, diagnostic technology, telemedicine, universal coverage, health services, technological innovation.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Telemedicine/trends , Access to Essential Medicines and Health Technologies , Paraguay , Tomography , Electrocardiography , Electroencephalography , Inventions , Health Services/trends
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