Use of advanced materials and artificial intelligence in electromyography signal detection and interpretation
Electromyography (EMG) is an integral part of many biomedical and healthcare applications.
It has been used as a metric for tracking rehabilitation progress and identifying diseases that …
It has been used as a metric for tracking rehabilitation progress and identifying diseases that …
Surface electromyography and artificial intelligence for human activity recognition-A systematic review on methods, emerging trends applications, challenges, and …
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …
potential to meet the growing needs of various industries. Electromyography (EMG) is …
Microneedle array electrode-based wearable EMG system for detection of driver drowsiness through steering wheel grip
Driver drowsiness is a major cause of fatal accidents throughout the world. Recently, some
studies have investigated steering wheel grip force-based alternative methods for detecting …
studies have investigated steering wheel grip force-based alternative methods for detecting …
[HTML][HTML] Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing
Processing multiple channels of bioelectrical signals for bionic assistive robot volitional
motion control is still a challenging task due to the interference of systematic noise, artifacts …
motion control is still a challenging task due to the interference of systematic noise, artifacts …
Progress in data acquisition of wearable sensors
Wearable sensors have demonstrated wide applications from medical treatment, health
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …
A smart approach to EMG envelope extraction and powerful denoising for human–machine interfaces
Electromyography (EMG) is widely used in human–machine interfaces (HMIs) to measure
muscle contraction by computing the EMG envelope. However, EMG is largely affected by …
muscle contraction by computing the EMG envelope. However, EMG is largely affected by …
[HTML][HTML] An insulated flexible sensor for stable electromyography detection: Application to prosthesis control
Electromyography (EMG), the measurement of electrical muscle activity, is used in a variety
of applications, including myoelectric upper-limb prostheses, which help amputees to regain …
of applications, including myoelectric upper-limb prostheses, which help amputees to regain …
Printed multi-EMG electrodes on the 3D surface of an orthosis for rehabilitation: A feasibility study
The article proposes the development of an innovative prototype of smart orthosis with a fully
integrated multi-electrodes matrix for electromyography (EMG), to improve non-invasive …
integrated multi-electrodes matrix for electromyography (EMG), to improve non-invasive …
Processing of EMG signals with high impact of power line and cardiac interferences
K Strzecha, M Krakós, B Więcek, P Chudzik, K Tatar… - Applied Sciences, 2021 - mdpi.com
This work deals with electromyography (EMG) signal processing for the diagnosis and
therapy of different muscles. Because the correct muscle activity measurement of strongly …
therapy of different muscles. Because the correct muscle activity measurement of strongly …
Energy–accuracy aware finger gesture recognition for wearable IoT devices
W Jung, HG Lee - Sensors, 2022 - mdpi.com
Wearable Internet of Things (IoT) devices can be used efficiently for gesture recognition
applications. The nature of these applications requires high recognition accuracy with low …
applications. The nature of these applications requires high recognition accuracy with low …