scholarly journals Wearable and Flexible Textile Electrodes for Biopotential Signal Monitoring: A review

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 479 ◽  
Author(s):  
Gizem Acar ◽  
Ozberk Ozturk ◽  
Ata Jedari Golparvar ◽  
Tamador Alkhidir Elboshra ◽  
Karl Böhringer ◽  
...  
Keyword(s):  
Point Of Care ◽  
Consumer Electronics ◽  
Wearable Electronics ◽  
Physiological Signal ◽  
Computer Interfaces ◽  
Textile Electrodes ◽  
Wearable Systems ◽  
Routine Monitoring ◽  
Care Health ◽  
Signal Monitoring

Wearable electronics is a rapidly growing field that recently started to introduce successful commercial products into the consumer electronics market. Employment of biopotential signals in wearable systems as either biofeedbacks or control commands are expected to revolutionize many technologies including point of care health monitoring systems, rehabilitation devices, human–computer/machine interfaces (HCI/HMIs), and brain–computer interfaces (BCIs). Since electrodes are regarded as a decisive part of such products, they have been studied for almost a decade now, resulting in the emergence of textile electrodes. This study presents a systematic review of wearable textile electrodes in physiological signal monitoring, with discussions on the manufacturing of conductive textiles, metrics to assess their performance as electrodes, and an investigation of their application in the acquisition of critical biopotential signals for routine monitoring, assessment, and exploitation of cardiac (electrocardiography, ECG), neural (electroencephalography, EEG), muscular (electromyography, EMG), and ocular (electrooculography, EOG) functions.

scholarly journals Pocket MUSE: an affordable, versatile and high-performance fluorescence microscope using a smartphone

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yehe Liu ◽  
Andrew M. Rollins ◽  
Richard M. Levenson ◽  
Farzad Fereidouni ◽  
Michael W. Jenkins
Keyword(s):  
High Performance ◽  
Point Of Care ◽  
Low Cost ◽  
Consumer Electronics ◽  
Practical Implementation ◽  
The Novel ◽  
Point Of Care Diagnostics ◽  
Optical Module ◽  
Optical Configuration ◽  
User Friendly

AbstractSmartphone microscopes can be useful tools for a broad range of imaging applications. This manuscript demonstrates the first practical implementation of Microscopy with Ultraviolet Surface Excitation (MUSE) in a compact smartphone microscope called Pocket MUSE, resulting in a remarkably effective design. Fabricated with parts from consumer electronics that are readily available at low cost, the small optical module attaches directly over the rear lens in a smartphone. It enables high-quality multichannel fluorescence microscopy with submicron resolution over a 10× equivalent field of view. In addition to the novel optical configuration, Pocket MUSE is compatible with a series of simple, portable, and user-friendly sample preparation strategies that can be directly implemented for various microscopy applications for point-of-care diagnostics, at-home health monitoring, plant biology, STEM education, environmental studies, etc.

scholarly journals Fugl-Meyer hand motor imagination recognition for brain–computer interfaces using only fNIRS

2021 ◽  
Author(s):  
Chenguang Li ◽  
Hongjun Yang ◽  
Long Cheng
Keyword(s):  
Classification Accuracy ◽  
Near Infrared ◽  
Support Vector ◽  
Classification Methods ◽  
Experimental Paradigm ◽  
Functional Near Infrared Spectroscopy ◽  
Machine Method ◽  
Physiological Signal ◽  
Computer Interfaces ◽  
Mode Decomposition

AbstractAs a relatively new physiological signal of brain, functional near-infrared spectroscopy (fNIRS) is being used more and more in brain–computer interface field, especially in the task of motor imagery. However, the classification accuracy based on this signal is relatively low. To improve the accuracy of classification, this paper proposes a new experimental paradigm and only uses fNIRS signals to complete the classification task of six subjects. Notably, the experiment is carried out in a non-laboratory environment, and movements of motion imagination are properly designed. And when the subjects are imagining the motions, they are also subvocalizing the movements to prevent distraction. Therefore, according to the motor area theory of the cerebral cortex, the positions of the fNIRS probes have been slightly adjusted compared with other methods. Next, the signals are classified by nine classification methods, and the different features and classification methods are compared. The results show that under this new experimental paradigm, the classification accuracy of 89.12% and 88.47% can be achieved using the support vector machine method and the random forest method, respectively, which shows that the paradigm is effective. Finally, by selecting five channels with the largest variance after empirical mode decomposition of the original signal, similar classification results can be achieved.

scholarly journals Triboelectric Effect Enabled Self-Powered, Point-of-Care Diagnostics: Opportunities for Developing ASSURED and REASSURED Devices

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 337
Author(s):  
Navneet Soin ◽  
Sam J. Fishlock ◽  
Colin Kelsey ◽  
Suzanne Smith
Keyword(s):  
High Efficiency ◽  
Resource Constraints ◽  
Point Of Care ◽  
Wearable Sensors ◽  
Middle Income ◽  
Physiological Signal ◽  
Point Of Care Diagnostics ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Triboelectric Effect

The use of rapid point-of-care (PoC) diagnostics in conjunction with physiological signal monitoring has seen tremendous progress in their availability and uptake, particularly in low- and middle-income countries (LMICs). However, to truly overcome infrastructural and resource constraints, there is an urgent need for self-powered devices which can enable on-demand and/or continuous monitoring of patients. The past decade has seen the rapid rise of triboelectric nanogenerators (TENGs) as the choice for high-efficiency energy harvesting for developing self-powered systems as well as for use as sensors. This review provides an overview of the current state of the art of such wearable sensors and end-to-end solutions for physiological and biomarker monitoring. We further discuss the current constraints and bottlenecks of these devices and systems and provide an outlook on the development of TENG-enabled PoC/monitoring devices that could eventually meet criteria formulated specifically for use in LMICs.

scholarly journals Non-contact physiological signal monitoring system based on Doppler radar

2017 ◽  
Vol 14 (3) ◽  
pp. 20161178-20161178 ◽  
Author(s):  
Long Chen ◽  
Xining Yang ◽  
Jianfeng Wu ◽  
Lingyan Fan
Keyword(s):  
Monitoring System ◽  
Doppler Radar ◽  
Physiological Signal ◽  
Signal Monitoring

High-performance textile electrodes for wearable electronics obtained by an improved in situ polymerization method

2019 ◽  
Vol 361 ◽  
pp. 897-907 ◽  
Author(s):  
Jingchun Lv ◽  
Peiwen Zhou ◽  
Linping Zhang ◽  
Yi Zhong ◽  
Xiaofeng Sui ◽  
...  
Keyword(s):  
High Performance ◽  
In Situ Polymerization ◽  
Wearable Electronics ◽  
Textile Electrodes ◽  
Polymerization Method
Sign in / Sign up

Export Citation Format

Share Document