Results 181 to 190 of about 428,008 (353)
Differences between Male and Female College Students in Dynamic Stability Change through Measuring Lower Extremity Muscle Fatigue [PDF]
Hae sung Lee +2 more
openalex +1 more source
This study presents a novel “in vivo–in vitro” therapeutic strategy for spinal cord injury by leveraging magnetically responsive piezoelectric nanomaterials. These nanomaterials enable targeted delivery of localized electrical stimulation at the injury site through noninvasive external magnetic actuation, thereby promoting axonal regeneration and ...
Zhihang Xiao +9 more
wiley +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
Detection of Muscle Fatigue Using Variable Bit Flow Modulation and Cross Correlation of Electromyographic Signals [PDF]
L. C. Medeiros +5 more
openalex +1 more source
A self‐recoverable flexible porous sensor with diverse designability of electrodes is developed through writable vapor phase polymerization using shape memory polymers (SMPs) as the fundamental materials. The sensors enable long‐term comprehensive human motion detection.
Ying Gao +7 more
wiley +1 more source
An Elastocaloric Polymer with Ultra‐High Solid‐State Cooling via Defect Engineering
This work reports a defect‐engineering strategy that enables a record‐high adiabatic temperature change of up to 8.14 ± 1.76 °C in elastomers at an elevated temperature above 65 °C. Combined experimental and theoretical efforts reveal that increasing dangling‐chain defects nonmonotonically impacts the elastocaloric cooling performance of polymers due ...
Zhaohan Yu +11 more
wiley +1 more source
Muscle Fatigue Assessment in Healthcare Application by Using Surface Electromyography: A Transfer Learning Approach. [PDF]
Manni A, Rescio G, Caroppo A, Leone A.
europepmc +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source
Self-Motion Misperception Induced by Neck Muscle Fatigue. [PDF]
Botti FM +6 more
europepmc +1 more source

