ABSTRACT
Introducción: A partir de su formación permanente y continuada, desde la educación en el trabajo, el tecnólogo de la salud en optometría y óptica desarrolla modos de actuación en la atención primaria de salud, mediante la interacción con escuelas de la comunidad, para identificar problemas visuales en niños y contribuir a su rehabilitación, al brindar educación especializada a familias y docentes. Objetivo: Exponer los resultados de una investigación sobre problemas visuales en niños en edad escolar atendidos en el Policlínico Mario Escalona para la socialización de datos que contribuyan a la educación especializada de familias y docentes en la rehabilitación visual. Métodos: Se realizó un estudio descriptivo, transversal, desde enero de 2020 hasta abril de 2022, para conocer la incidencia del uso de dispositivos electrónicos en niños en edad escolar atendidos en el Policlínico Mario Escalona. Conformaron el universo 1953 niños. Se valoró el defecto refractivo y el tiempo de uso de los dispositivos electrónicos. Resultados: El astigmatismo miópico fue la ametropía más frecuente, con una incidencia superior al 50 por ciento. En encuestas realizadas a los padres se corroboró el uso desmedido de dispositivos electrónicos. Conclusiones: Como acto de responsabilidad profesional, desde la atención primaria de salud, el tecnólogo de la salud en optometría y óptica debe identificar los problemas visuales en niños en edad escolar y brindar educación especializada a familias y docentes, que contribuya a la rehabilitación visual(AU)
Introduction: From his or her permanent and continuous training, from education at work, the health technologist in Optometry and Optics develops modes of action in primary health care, through interaction with community schools, to identify visual problems in children and contribute to their rehabilitation, by providing specialized education to families and professors. Objective: To present the results of a research on visual problems in school-age children treated at Mario Escalona Polyclinic for the socialization of data that contribute to the specialized education of families and teachers in visual rehabilitation. Methods: A descriptive, cross-sectional study was carried out from January 2020 to April 2022, in order to know the incidence of the use of electronic devices in school-age children attended at Policlínico Docente Dr. Mario Escalona Reguera. The universe consisted of 1953 children. The refractive defect and the time of use of electronic devices were assessed. Results: Myopic astigmatism was the most frequent ametropia, with an incidence higher than 50 percent. Surveys of parents corroborated an excessive use of electronic devices. Conclusions: As an act of professional responsibility, from primary health care, the health technologist in Optometry and Peptics should identify visual problems in school-age children, as well as provide specialized education to families and professors, contributing to visual rehabilitation(AU)
Subject(s)
Humans , Child , Vision Disorders/epidemiology , Visual Acuity , Eye Diseases/epidemiology , Myopia/epidemiology , Primary Health Care , Epidemiology, Descriptive , Cross-Sectional Studies , Wearable Electronic DevicesABSTRACT
The health impacts of physical activity (PA), sedentary behavior (SB), and sleep are well established; thereby, the identification of instruments to assess and monitor these behaviors at a populational lev-el is relevant. In this context, smartwatches, which are wristwatch-shaped devices equipped with sen-sors, have been identified as alternatives for objectively measuring PA, SB, and sleep. Therefore, this protocol aimed at describing the goals and methods of a scoping review to map the literature on the use of smartwatches to objectively measure PA, SB, and/or sleep across the lifespan (e.g., children, adolescents, adults, and elderly) and in different contexts. Studies will be included if they use smart-watches to objectively measure at least one of the behaviors (PA, SB, and sleep) in children, adoles-cents, adults, and older adults, published after 2013. No language filter will be applied. Searches will be carried out in six databases (Pubmed/Medline, Scopus, Web of Science, LILACS, IEEE Xplore Digital Library, Scielo, Health Technology Assessment Database, and Cochrane clinical trials) and two clinical trial repositories. The screening and data extraction will be performed independently by two authors who had previous experience in reviews and technologies. The synthesis of the results will follow the Joanna Briggs Institute framework for extracting the results in scoping reviews. The results can contribute to scientific progress by identifying gaps and research trends, guiding future studies, and informing companies, healthcare professionals, and the general public who use smart-watch as a measurement tool for physical activity, sedentary behavior, and sleep
Os impactos da atividade física (AF), comportamento sedentário (CS) e sono na saúde são bem estabelecidos, tornando-se relevante identificar instrumentos que permitam avaliar e monitorar esses comportamentos em nível populacional. Nesse contexto, os smartwatches, que são dispositivos em formato de relógio de pulso, com-postos por sensores, tem sido apontado como alternativa para mensurar objetivamente AF, CS e sono. Portanto, o objetivo deste protocolo foi descrever os objetivos e métodos de uma revisão de escopo para mapear a literatura científica sobre o uso de smartwatches para medir objetivamente AF, CS e/ou sono em diferentes populações e contextos. Os estudos serão incluídos se usarem smartwatches para medir objetivamente pelo menos um dos comportamentos (AF, CS e sono) em crianças, adolescentes, adultos e idosos, publicados após 2013. Nenhum filtro de idioma será aplicado. As buscas serão realizadas em sete bases de dados (Pubmed/Medline, Scopus, Web of Science, IEEE Xplore Digital Library, Scielo, LILACS, Health Technology Assessment Database e Cochrane Clinical Trials) e dois repositórios de ensaios clínicos. A triagem e extração dos dados serão realizadas de forma independente por dois autores com experiência prévia em revisões e tecnologias. A síntese dos resultados seguirá o framework do Joanna Briggs Institute para extração dos resultados nas revisões de escopo. Os resultados podem contribuir para o progresso científico, identificando lacunas e tendências de pesquisa, orientando futuros estudos, empresas que atuam neste mercado, profissionais de saúde e o público em geral que utilizam smartwatch como um instrumento de medição para atividade física, comportamento sedentário e sono
Subject(s)
Sleep , Wearable Electronic Devices , Exercise , Sedentary BehaviorABSTRACT
A protective device was designed that can be worn on the elderly, which consists of protective airbag, control box and protective mechanism. The combined acceleration, combined angular velocity and human posture angle are selected as the parameters to determine the fall, and the threshold algorithm and SVM algorithm are used to detect the fall. The protective mechanism is an inflatable device based on CO2 compressed air cylinder, and the equal-width cam structure is applied to its transmission part to improve the puncture efficiency of the compressed gas cylinder. A fall experiment was designed to obtain the combined acceleration and angular velocity eigenvalues of fall actions (forward fall, backward fall and lateral fall) and daily activities (sitting-standing, walking, jogging and walking up and down stairs), showing that the specificity and sensitivity of the protection module reached 92.1% and 84.4% respectively, which verified the feasibility of the fall protection device.
Subject(s)
Humans , Aged , Monitoring, Ambulatory , Activities of Daily Living , Wearable Electronic Devices , Walking , Acceleration , AlgorithmsABSTRACT
Wearable technology, which can continuously and remotely monitor physiological and behavioral parameters by incorporated into clothing or worn as an accessory, introduces a new era for ubiquitous health care. With big data technology, wearable data can be analyzed to help long-term cardiovascular care. This review summarizes the recent developments of wearable technology related to cardiovascular care, highlighting the most common wearable devices and their accuracy. We also examined the application of these devices in cardiovascular healthcare, such as the early detection of arrhythmias, measuring blood pressure, and detecting prevalent diabetes. We provide an overview of the challenges that hinder the widespread application of wearable devices, such as inadequate device accuracy, data redundancy, concerns associated with data security, and lack of meaningful criteria, and offer potential solutions. Finally, the future research direction for cardiovascular care using wearable devices is discussed.
Subject(s)
Big Data , Delivery of Health Care , Wearable Electronic Devices , Technology , Blood PressureABSTRACT
Introducción: El incremento del empleo de los dispositivos electrónicos en las actividades de estudio, trabajo, entretenimiento e interacción social desde las plataformas digitales deriva numerosos riesgos y causas de problemas visuales y defectos refractivos. La prevalencia de estos puede conllevar a considerarlos como problemas de salud a nivel global. Objetivo: Describir los riesgos y las repercusiones del uso excesivo de los dispositivos electrónicos en la salud visual a cualquier edad. Métodos: El método de revisión bibliográfica y la sistematización de resultados investigativos de diversos autores posibilitan identificar los riesgos y la repercusión del uso excesivo de los dispositivos electrónicos sobre la salud visual, así como las recomendaciones para afrontar esa realidad. Resultados: La sistematización permite demostrar cómo incide el uso de los dispositivos electrónicos en la elevada prevalencia de trastornos oculares y visuales, como el síndrome visual informático y la miopía en la población mundial actualmente. Conclusiones: Entre los riesgos y las repercusiones del uso excesivo de los dispositivos electrónicos sobre la salud visual, señalados por varios autores, se describieron factores ópticos y ambientales que inciden en la aparición de trastornos como la visión tubular, el síndrome visual informático, además de los defectos refractivos como la miopía, considerados problemas de salud a nivel global en la actualidad(AU)
Introduction: The increase in the use of electronic devices in study, work, entertainment and social interaction activities from digital platforms derives numerous risks and causes of visual problems and refractive defects. The prevalence of these can lead to consider them as global health problems. Objective: To describe the risks and repercussions of excessive use of electronic devices on visual health to prevent eye problems at any age. Methods: The bibliographic review method and the systematization of research results from various authors make it possible to identify the risks and repercussions of the excessive use of electronic devices on visual health, as well as the recommendations to face this reality. Results: The systematization allows us to demonstrate how the use of electronic devices affects the high prevalence of eye and visual disorders, such as computer vision syndrome and myopia in the world population today. Conclusions: The excessive use of electronic devices has caused visual problems and refractive errors globally. An act of responsibility is imposed to inform and raise awareness about the damage to eye health and its harmful effects(AU)
Subject(s)
Humans , Male , Female , Eye Health , Risk Factors , Wearable Electronic Devices/adverse effects , Myopia/epidemiologyABSTRACT
Objectives: Thousands of people suffer from cardiovascular diseases. Even though the electrocardiogram is an exam consolidated. The lack of methodological observation in the placement of sensors can compromise the results. This article proposes a wearable vest capable of conditioning cardiac signals from three simultaneous channels, reducing the chance of failures in the exam due to the smaller number of electrodes attached to the patient's body. Methods: It adds the vectorcardiogram technique to the electrocardiogram wearable, which consists of three orthonormal derivations Vx, Vy, and Vz, measuring dynamic components of the heart vector. Results: The display of the cardiac biopotential in the web-mobile application represents the visualization of the twelve derivations synthesized from the Dower transform and the spatial projections of the cardiac loop under a three-dimensional view. Conclusion: Feasibility of integrating the vectorcardiogram with the electrocardiogram exam.
Objetivos: Milhares de pessoas sofrem com doenças cardiovasculares, apesar do Eletrocardiograma ser um exame consolidado, a falta de observação metodológica na colocação dos sensores pode comprometer os resultados. O presente artigo propõe um colete vestível capaz de condicionar sinais cardíacos de três canais simultâneos, reduzindo a chance de falhas na execução do exame em função da menor quantidade de eletrodos fixados ao corpo do paciente. Métodos: Acrescenta a técnica do vetocardiograma ao vestível de eletrocardiograma, que consiste em três derivações ortonormais Vx, Vy e Vz, medindo componentes dinâmicos do vetor coração. Resultados: Exibição do biopotencial cardíaco na aplicação web-mobile representa de forma satisfatória a visualização das doze derivações sintetizadas a partir da transformada de Dower, bem como, as projeções espaciais do loop cardíaco sob uma visão tridimensional. Conclusão: Viabilidade de integração do vetocardiograma ao exame de eletrocardiograma.
Objetivos: Miles de personas padecen enfermedades cardiovasculares, a pesar de que el electrocardiograma es un examen consolidado, la falta de observación metodológica en la colocación de sensores puede comprometer los resultados. Este artículo propone una tecnología vestible capaz de acondicionar las señales cardíacas de tres canales simultáneos, reduciendo la posibilidad de fallas en el examen por la menor cantidad de electrodos adheridos al cuerpo del paciente. Métodos: Agrega la técnica del vetocardiograma al electrocardiograma vestible, que consta de tres derivaciones ortonormales Vx, Vy y Vz, midiendo los componentes dinámicos del vector cardíaco. Resultados: La visualización del biopotencial cardíaco en la aplicación web-móvil representa satisfactoriamente la visualización de las doce derivaciones sintetizadas a partir de la transformada de Dower, así como las proyecciones espaciales del bucle cardíaco bajo una vista tridimensional. Conclusión: Viabilidad de integrar el vetocardiograma con el examen electrocardiográfico.
Subject(s)
Humans , Vectorcardiography/instrumentation , Cardiovascular Diseases/diagnosis , Electrocardiography/instrumentation , Wearable Electronic DevicesABSTRACT
Based on the biomechanical mechanism of human upper limb, the disadvantages of traditional rehabilitation training and the current status of upper limb rehabilitation robot, a six degree of freedom, flexible adjustment, wearable upper limb rehabilitation exoskeleton design scheme is proposed. Firstly, the mechanics of each joint of the upper limb is analyzed, and the virtual prototype design of the whole mechanical structure of the upper limb rehabilitation wearable exoskeleton is carried out by using CATIA three-dimensional software. The tooth transmission of the forearm and the upper arm single row four point contact ball bearing with internal/external rotation and the shoulder flexible passive adjustment mechanism (viscoelastic damper) are innovatively designed. Then, the joints of the upper limb rehabilitation exoskeleton are analyzed, theoretical analysis and calculation of the driving torque, the selection of the motor and gearbox of each driving joint are carried out. Finally, the whole finite element analysis of the upper limb exoskeleton is carried out. The research and experimental results showed that the design scheme of the upper limb exoskeleton assist structure is highly feasible, which can help the patients with upper limb paralysis and motor dysfunction self-rehabilitation.
Subject(s)
Humans , Biomechanical Phenomena , Exoskeleton Device , Robotics , Stroke Rehabilitation , Torque , Upper Extremity , Wearable Electronic DevicesABSTRACT
The goal of this paper is to solve the problems of large volume, slow dynamic response and poor intelligent controllability of traditional gait rehabilitation training equipment by using the characteristic that the shear yield strength of magnetorheological fluid changes with the applied magnetic field strength. Based on the extended Bingham model, the main structural parameters of the magnetorheological fluid damper and its output force were simulated and optimized by using scientific computing software, and the three-dimensional modeling of the damper was carried out after the size was determined. On this basis and according to the design and use requirements of the damper, the finite element analysis software was used for force analysis, strength check and topology optimization of the main force components. Finally, a micro magnetorheological fluid damper suitable for wearable rehabilitation training system was designed, which has reference value for the design of lightweight, portable and intelligent rehabilitation training equipment.
Subject(s)
Computer Simulation , Software , Wearable Electronic DevicesABSTRACT
Body temperature is an important physiological parameter of the human body and is used in medicine to reflect the physiological state and health status of the human body. At present, the commonly used clinical thermometers on the market are mainly divided into contact and non-contact types. Most of them are used for rapid body temperature measurement, and it is not easy to monitor body temperature changes in real time. This article introduces a new wearable wireless body temperature monitoring system based on NTC, which senses through NTC. The temperature changes are amplified and filtered, zeroed, and calibrated, and then the temperature data is uploaded to the mobile phone APP via Bluetooth in real time to achieve real-time accurate measurement of body temperature.
Subject(s)
Humans , Body Temperature , Cell Phone , Monitoring, Physiologic , Temperature , Wearable Electronic Devices , Wireless TechnologyABSTRACT
Photoplethysmography (PPG) is a non-invasive technique to measure heart rate at a lower cost, and it has been recently widely used in smart wearable devices. However, as PPG is easily affected by noises under high-intensity movement, the measured heart rate in sports has low precision. To tackle the problem, this paper proposed a heart rate extraction algorithm based on self-adaptive heart rate separation model. The algorithm firstly preprocessed acceleration and PPG signals, from which cadence and heart rate history were extracted respectively. A self-adaptive model was made based on the connection between the extracted information and current heart rate, and to output possible domain of the heart rate accordingly. The algorithm proposed in this article removed the interference from strong noises by narrowing the domain of real heart rate. From experimental results on the PPG dataset used in 2015 IEEE Signal Processing Cup, the average absolute error on 12 training sets was 1.12 beat per minute (bpm) (Pearson correlation coefficient: 0.996; consistency error: -0.184 bpm). The average absolute error on 10 testing sets was 3.19 bpm (Pearson correlation coefficient: 0.990; consistency error: 1.327 bpm). From experimental results, the algorithm proposed in this paper can effectively extract heart rate information under noises and has the potential to be put in usage in smart wearable devices.
Subject(s)
Algorithms , Heart Rate/physiology , Photoplethysmography/methods , Signal Processing, Computer-Assisted , Wearable Electronic DevicesABSTRACT
OBJECTIVE@#To develop a method for R-peak detection of ECG data from wearable devices to allow accurate estimation of the physiological parameters including heart rate and heart rate variability.@*METHODS@#A fully convolutional neural network was applied to predict the R-peak heatmap of ECG data and locate the R-peak positions. The heartbeat-aware (HA) module was introduced to enable the model to learn to predict the heartbeat number and R-peak heatmap simultaneously, thereby improving the capability of the model for extraction of the global context. The R-R interval estimated by the predicted heartbeat number was adopted to calculate the minimum horizontal distance for peak positioning. To achieve real-time R-peak detection on mobile devices, the deep separable convolution was adopted to reduce the number of parameters and the computational complexity of the model.@*RESULTS@#The proposed model was trained only with ECG data from wearable devices. At a tolerance window interval of 150 ms, the proposed method achieved R peak detection sensitivities of 100% for both wearable device ECG dataset and a public dataset (i.e. LUDB), and the true positivity rates exceeded 99.9%. As for the ECG signal of a 10 s duration, the CPU time of the proposed method for R-peak detection was about 23.2 ms.@*CONCLUSION@#The proposed method has good performance for R-peak detection of both wearable device ECG data and routine ECG data and also allows real-time R-peak detection of the ECG data.
Subject(s)
Algorithms , Electrocardiography , Heart Rate , Neural Networks, Computer , Signal Processing, Computer-Assisted , Wearable Electronic DevicesABSTRACT
Smart wearable devices play an increasingly important role in physiological monitoring and disease prevention because they are portable, real-time, dynamic and continuous.The popularization of smart wearable devices among people under high-altitude environment would be beneficial for the prevention for heart and brain diseases related to high altitude. The current review comprehensively elucidates the effects of high-altitude environment on the heart and brain of different population and experimental subjects, the characteristics and applications of different types of wearable devices, and the limitations and challenges for their application. By emphasizing their application values, this review provides practical reference information for the prevention of high-altitude disease and the protection of life and health.
Subject(s)
Humans , Altitude , Brain Diseases , Heart , Monitoring, Physiologic , Wearable Electronic DevicesABSTRACT
O estudo objetivou comparar duas estratégias (Tradicional x LET US Play) com o intuito de aumen-tar o número de passos (NP) durante as aulas de educação física escolar de crianças. Trata-se de um ensaio clínico randomizado cruzado (cross over), realizado em uma escola municipal de Cuiabá, Mato Grosso. Foram aplicadas 10 aulas à 25 crianças (11 meninos e 14 meninas) do 4º ano do Ensino Fun-damental. Dividida em dois momentos de 15 minutos (monitorados), com um espaço de 10 minutos entre eles para hidratação (não monitorados), a aula consistia na aplicação das atividades (estafeta, base quatro, futsal, queimada e empresta bandeira) usando a estratégia Tradicional ou LET US Play, de forma alternada e aleatória. Ao final de cada atividade, o NP foi medido por meio da pulseira inteligente Xiaomi Mi band 2. Utilizou ANOVA One Waypara analisar o NP entre as estratégias, estratificada por sexo, com grau de significância de 5%. Observou-se que, o NP dados pelas crianças na intervenção LET US Play foi superior ao Tradicional em todas as atividades (estafeta, base quatro, futsal, queimada, empresta bandeira), tanto em meninos quanto em meninas, independentemente da ordem de aplicação (p < 0,01). Conclui-se que o LET US Play aumentou o NP das crianças durante as aulas de educação física e pode ser uma estratégia interessante para maximizar a atividade física nesse público
This study aimed to compare two strategies (Traditional x LET US Play) focused on increasing the number of steps (NS) during physical education classes for children. This is a randomized crossover clinical trial, carried out in a municipal elementary school from Cuiabá-MT. Ten classes were given to 25 children (11 boys and 14 girls) from the 4th grade. Divided into two moments of 15 minutes each (monitored), with a 10 minutes break between for hydration (not monitored). The class sessions consisted of activities (relay races, base four, futsal, dodgeball and borrow flag) using Traditional or LET US Play strategies, selected randomly and alternately. At the end of each activity the NS was measured through the Xiaomi Mi band 2 smart bracelet. The NP between the strategies and interactions with sex were assessed using one-way analysis of variance (ANOVA) with a statistical significance set at p < 0.05. It was observed that the NS given by the children in the LET US Play intervention was higher than the Traditional in all activities (relay races, kickball, indoor soccer, dodgeball, lend flag) in boys and girls regardless of the delivered order (p < 0,01). It was concluded that LET US Play increased children's NS during physical education classes and can be an interesting strategy to maximize physical activity among this population
Subject(s)
Humans , Male , Female , Child , Physical Education and Training/methods , Students , Exercise , Games, Recreational , Wearable Electronic Devices , Walking , Cross-Over StudiesABSTRACT
The dynamic electrocardiogram (ECG) collected by wearable devices is often corrupted by motion interference due to human activities. The frequency of the interference and the frequency of the ECG signal overlap with each other, which distorts and deforms the ECG signal, and then affects the accuracy of heart rate detection. In this paper, a heart rate detection method that using coarse graining technique was proposed. First, the ECG signal was preprocessed to remove the baseline drift and the high-frequency interference. Second, the motion-related high amplitude interference exceeding the preset threshold was suppressed by signal compression method. Third, the signal was coarse-grained by adaptive peak dilation and waveform reconstruction. Heart rate was calculated based on the frequency spectrum obtained from fast Fourier transformation. The performance of the method was compared with a wavelet transform based QRS feature extraction algorithm using ECG collected from 30 volunteers at rest and in different motion states. The results showed that the correlation coefficient between the calculated heart rate and the standard heart rate was 0.999, which was higher than the result of the wavelet transform method (
Subject(s)
Humans , Electrocardiography , Heart Rate , Signal Processing, Computer-Assisted , Wavelet Analysis , Wearable Electronic DevicesABSTRACT
As a low-load physiological monitoring technology, wearable devices can provide new methods for monitoring, evaluating and managing chronic diseases, which is a direction for the future development of monitoring technology. However, as a new type of monitoring technology, its clinical application mode and value are still unclear and need to be further explored. In this study, a central monitoring system based on wearable devices was built in the general ward (non-ICU ward) of PLA General Hospital, the value points of clinical application of wearable physiological monitoring technology were analyzed, and the system was combined with the treatment process and applied to clinical monitoring. The system is able to effectively collect data such as electrocardiogram, respiration, blood oxygen, pulse rate, and body position/movement to achieve real-time monitoring, prediction and early warning, and condition assessment. And since its operation from March 2018, 1 268 people (657 patients) have undergone wearable continuous physiological monitoring until January 2020, with data from a total of 1 198 people (632 cases) screened for signals through signal quality algorithms and manual interpretation were available for analysis, accounting for 94.48 % (96.19%) of the total. Through continuous physiological data analysis and manual correction, sleep apnea event, nocturnal hypoxemia, tachycardia, and ventricular premature beats were detected in 232 (36.65%), 58 (9.16%), 30 (4.74%), and 42 (6.64%) of the total patients, while the number of these abnormal events recorded in the archives was 4 (0.63%), 0 (0.00%), 24 (3.80%), and 15 (2.37%) cases. The statistical analysis of sleep apnea event outcomes revealed that patients with chronic diseases were more likely to have sleep apnea events than healthy individuals, and the incidence was higher in men (62.93%) than in women (37.07%). The results indicate that wearable physiological monitoring technology can provide a new monitoring mode for inpatients, capturing more abnormal events and provide richer information for clinical diagnosis and treatment through continuous physiological parameter analysis, and can be effectively integrated into existing medical processes. We will continue to explore the applicability of this new monitoring mode in different clinical scenarios to further enrich the clinical application of wearable technology and provide richer tools and methods for the monitoring, evaluation and management of chronic diseases.
Subject(s)
Humans , Heart Rate , Monitoring, Physiologic , Movement , Sleep Apnea Syndromes , Wearable Electronic DevicesABSTRACT
Wearable physiological parameter monitoring devices play an increasingly important role in daily health monitoring and disease diagnosis/treatment due to their continuous dynamic and low physiological/psychological load characteristics. After decades of development, wearable technologies have gradually matured, and research has expanded to clinical applications. This paper reviews the research progress of wearable physiological parameter monitoring technology and its clinical applications. Firstly, it introduces wearable physiological monitoring technology's research progress in terms of sensing technology and data processing and analysis. Then, it analyzes the monitoring physiological parameters and principles of current medical-grade wearable devices and proposes three specific directions of clinical application research: 1) real-time monitoring and predictive warning, 2) disease assessment and differential diagnosis, and 3) rehabilitation training and precision medicine. Finally, the challenges and response strategies of wearable physiological monitoring technology in the biomedical field are discussed, highlighting its clinical application value and clinical application mode to provide helpful reference information for the research of wearable technology-related fields.
Subject(s)
Monitoring, Physiologic , Wearable Electronic DevicesABSTRACT
This study established a rapid ECG screening system through the application of wearable ECG equipment. The closed-loop and self-service process of ECG inspection, data collection, transmission and printing have been realized. The new rapid ECG screening system docking with HIS system in the hospital, forming a new intelligent mode of rapid ECG screening. This paper introduces the design of the intelligent mode of ECG rapid screening from the aspects of hardware, software, wearable ECG examination equipment, and briefly describes its implementation path and technical scheme. With the rapid ECG screening system, human power can be saved, the timeliness of ECG examination can be enhanced. The level of ECG diagnosis in the basic units can be improved through building a multiple medical centers which is rely on the cloud platform.
Subject(s)
Humans , Electrocardiography , Equipment Design , Research , Software , Wearable Electronic DevicesABSTRACT
Breathing pattern parameters refer to the characteristic pattern parameters of respiratory movements, including the breathing amplitude and cycle, chest and abdomen contribution, coordination, etc. It is of great importance to analyze the breathing pattern parameters quantificationally when exploring the pathophysiological variations of breathing and providing instructions on pulmonary rehabilitation training. Our study provided detailed method to quantify breathing pattern parameters including respiratory rate, inspiratory time, expiratory time, inspiratory time proportion, tidal volume, chest respiratory contribution ratio, thoracoabdominal phase difference and peak inspiratory flow. We also brought in "respiratory signal quality index" to deal with the quality evaluation and quantification analysis of long-term thoracic-abdominal respiratory movement signal recorded, and proposed the way of analyzing the variance of breathing pattern parameters. On this basis, we collected chest and abdomen respiratory movement signals in 23 chronic obstructive pulmonary disease (COPD) patients and 22 normal pulmonary function subjects under spontaneous state in a 15 minute-interval using portable cardio-pulmonary monitoring system. We then quantified subjects' breathing pattern parameters and variability. The results showed great difference between the COPD patients and the controls in terms of respiratory rate, inspiratory time, expiratory time, thoracoabdominal phase difference and peak inspiratory flow. COPD patients also showed greater variance of breathing pattern parameters than the controls, and unsynchronized thoracic-abdominal movements were even observed among several patients. Therefore, the quantification and analyzing method of breathing pattern parameters based on the portable cardiopulmonary parameters monitoring system might assist the diagnosis and assessment of respiratory system diseases and hopefully provide new parameters and indexes for monitoring the physical status of patients with cardiopulmonary disease.
Subject(s)
Humans , Lung , Pulmonary Disease, Chronic Obstructive , Respiration , Tidal Volume , Wearable Electronic DevicesABSTRACT
As a novel technology, wearable physiological parameter monitoring technology represents the future of monitoring technology. However, there are still many problems in the application of this kind of technology. In this paper, a pilot study was conducted to evaluate the quality of electrocardiogram (ECG) signals of the wearable physiological monitoring system (SensEcho-5B). Firstly, an evaluation algorithm of ECG signal quality was developed based on template matching method, which was used for automatic and quantitative evaluation of ECG signals. The algorithm performance was tested on a randomly selected 100 h dataset of ECG signals from 100 subjects (15 healthy subjects and 85 patients with cardiovascular diseases). On this basis, 24-hour ECG data of 30 subjects (7 healthy subjects and 23 patients with cardiovascular diseases) were collected synchronously by SensEcho-5B and ECG Holter. The evaluation algorithm was used to evaluate the quality of ECG signals recorded synchronously by the two systems. Algorithm validation results: sensitivity was 100%, specificity was 99.51%, and accuracy was 99.99%. Results of controlled test of 30 subjects: the median (Q1, Q3) of ECG signal detected by SensEcho-5B with poor signal quality time was 8.93 (0.84, 32.53) minutes, and the median (Q1, Q3) of ECG signal detected by Holter with poor signal quality time was 14.75 (4.39, 35.98) minutes (Rank sum test,