Results 51 to 60 of about 17,232 (198)
Characterization of surface EMG with cumulative residual entropy [PDF]
The cumulative residual entropy (CREn) is an alternative measure of uncertainty in a random variable. In this paper, we applied CREn as a feature extraction method to characterize six hand and wrist motions from four-channel surface electromyography ...
Cai, Y, Hu, Y, Shi, J, Wang, F, Zhong, J
core +1 more source
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source
This work successfully fabricated ion‐conductive hydrogels with low hysteresis and high conductivity using 3D printing technology. By adjusting the component ratios, the properties of the hydrogels can be tuned to meet diverse sensing requirements. Finally, a multimodal sensing sign language recognition system was constructed based on this hydrogel ...
Quan Hu +9 more
wiley +1 more source
Soft, Flexible, and Stretchable Platforms for Tissue‐Interfaced Bioelectronics
Bio‐integrated electronics provide mechanically compliant and stable interfaces with soft biological tissues. Representative applications include neural interfaces, wet‐organadhesive electronics, and skin‐interfaced devices. E represents Young´s modulus and ε represents strain.
Kento Yamagishi +3 more
wiley +1 more source
Robust Bio-Signal Based Control of an Intelligent Wheelchair
In this paper, an adaptive human-machine interaction (HMI) method that is based on surface electromyography (sEMG) signals is proposed for the hands-free control of an intelligent wheelchair. sEMG signals generated by the facial movements are obtained by
Dongyi Chen +3 more
doaj +1 more source
The distribution of information for sEMG signals in the rectal cancer treatment process
The electrical activity of external anal sphincter can be registered with surface electromyography. This signals are known to be highly complex and nonlinear.
Machura, Lukasz +3 more
core +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Muscle fiber conduction velocity is more affected after eccentric than concentric exercise
It has been shown that mean muscle fiber conduction velocity (CV) can be acutely impaired after eccentric exercise. However, it is not known whether this applies to other exercise modes.
A Michaut +55 more
core +1 more source
Towards identification of finger flexions using single channel surface electromyography - able bodied and amputee subjects [PDF]
This research has established a method for using single channel surface electromyogram (sEMG) recorded from the forearm to identify individual finger flexion.
Kumar, D, Poosapadi Arjunan, S, Singh, V
core +1 more source

