Results 51 to 60 of about 17,232 (198)

Characterization of surface EMG with cumulative residual entropy [PDF]

open access: yes, 2012
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

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

open access: yesAdvanced Science, EarlyView.
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

3D‐Printed Ion‐Conductive Hydrogels with Tunable Mechanical–Electrical Properties for Multimodal Sign Language Recognition

open access: yesAdvanced Science, EarlyView.
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

Surface Electromyography : Barriers Limiting Widespread Use of sEMG in Clinical Assessment and Neurorehabilitation

open access: yes, 2021
Published by Frontiers Media S.A ...
Merletti, Roberto   +3 more
openaire   +2 more sources

Soft, Flexible, and Stretchable Platforms for Tissue‐Interfaced Bioelectronics

open access: yesAdvanced Science, EarlyView.
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

open access: yesRobotics, 2013
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

open access: yes, 2018
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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yes, 2011
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]

open access: yes, 2013
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

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