In order to quantitatively evaluate the performance of dry electrode for fabric surface bioelectricity, a set of active measuring devices that can simulate electrocardiosignal has been developed on the basis of passive system by our group. Five Ag/AgCl fabric dry electrodes were selected to test and evaluate the devices. The results show that the deviation ratios of peak time interval of the five electrodes are all less than 1%. The maximum voltage amplitude decay rate is 7.2%, and the noise amplitudes are lower than 0.004 mV. The variable coefficient of peak time offset is less than 8%. The variable coefficient of voltage amplitude is less than 2%. The variable coefficient of noise amplitude is less than 10%. Research shows the devices has good repeatability and stability in measuring the simulated electrocardiosignal. The active measuring devices proposed in this paper can provide a new method for performance evaluation and standard formulation of surface bioelectricity dry electrode.
Electrodes ; Textiles ; Wearable Electronic Devices

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.
Monitoring, Physiologic ; Wearable Electronic Devices

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.
Computer Simulation ; Software ; Wearable Electronic Devices

Electronic skin has shown great application potential in many fields such as healthcare monitoring and human-machine interaction due to their excellent sensing performance, mechanical properties and biocompatibility. This paper starts from the materials selection and structures design of electronic skin, and summarizes their different applications in the field of healthcare equipment, especially current development status of wearable sensors with different functions, as well as the application of electronic skin in virtual reality. The challenges of electronic skin in the field of wearable devices and healthcare, as well as our corresponding strategies, are discussed to provide a reference for further advancing the research of electronic skin.
Humans ; Wearable Electronic Devices ; Virtual Reality

In view of the multiple and diversity of sleep disorders, this paper develops and designs mobile portable devices based on remote monitoring and assessment of sleep quality. Using psychological scale, the patient's vital signs, sleeping data collection, statistics, and information transfer through remote signals to self-developed software for information entry and calculation, which could objectively display the quality of patient's sleep, so that medical staff might manage the patient's sleep better. Due to the features of portable device, such as its convenient to carry about, low price and else, the remote device can provide timely and effective information to help the majority of insomnia patients sleep therapy.
Cell Phone ; Humans ; Polysomnography ; Software ; Telemedicine ; Wearable Electronic Devices

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.
Electrocardiography ; Equipment Design ; Humans ; Research ; Software ; Wearable Electronic Devices

In order to solve the problem that the early onset of paroxysmal atrial fibrillation is very short and difficult to detect, a detection algorithm based on sparse coding of Riemannian manifolds is proposed. The proposed method takes into account that the nonlinear manifold geometry is closer to the real feature space structure, and the computational covariance matrix is used to characterize the heart rate variability (RR interval variation), so that the data is in the Riemannian manifold space. Sparse coding is applied to the manifold, and each covariance matrix is represented as a sparse linear combination of Riemann dictionary atoms. The sparse reconstruction loss is defined by the affine invariant Riemannian metric, and the Riemann dictionary is learned by iterative method. Compared with the existing methods, this method used shorter heart rate variability signal, the calculation was simple and had no dependence on the parameters, and the better prediction accuracy was obtained. The final classification on MIT-BIH AF database resulted in a sensitivity of 99.34%, a specificity of 95.41% and an accuracy of 97.45%. At the same time, a specificity of 95.18% was realized in MIT-BIH NSR database. The high precision paroxysmal atrial fibrillation detection algorithm proposed in this paper has a potential application prospect in the long-term monitoring of wearable devices.
Algorithms ; Atrial Fibrillation ; Databases, Factual ; Electrocardiography ; Humans ; Wearable Electronic Devices

Multi-parameters patient monitors are widely used in hospitals as medical device products, which have important clinical value. It expounds the core technologies of a miniature wearable multi-parameters patient monitor, and looks forward to its application prospects. In addition to traditional applications, when combined with a networked health service platforms, its applications will be greatly expanded in the context of big data and artificial intelligence technologies. The laboratory prototype of this product has been completed and has achieved the anticipative design goal.
Artificial Intelligence ; Humans ; Monitoring, Physiologic ; Wearable Electronic Devices

A wearable wireless health monitoring system for drug addicts in compulsory rehabilitation centers was proposed. The system can continuously monitor multiple physiological parameters of drug addicts in real time, and issue early warning information when abnormal physiological parameters occur, so as to play the role of timely medical practice. In addition, this study proposes a convolutional neural network (CNN)model, which can evaluate the health status of drug addicts based on multiple physiological parameters. Experiments show that the model can be applied to the task of body state recognition in the open physiological parameter data set, and the recognition accuracy can reach up to 100% in a single physiological parameter data set; when the whole physiological data set is used, the recognition accuracy can reach 99.1%. The recognition accuracy exceeds the performance of the traditional pattern recognition method on this task, which verifies the superiority of the model.
Algorithms ; Electrocardiography ; Monitoring, Physiologic ; Neural Networks, Computer ; Wearable Electronic Devices

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.
Altitude ; Brain Diseases ; Heart ; Humans ; Monitoring, Physiologic ; Wearable Electronic Devices