Results 41 to 50 of about 29,904 (258)

A 3DCNN-LSTM Hybrid Framework for sEMG-Based Noises Recognition in Exercise

IEEE Access, 2020
Recently, surface electromyography (sEMG) has been used to detect running-related works. sEMG provides a non-invasive and real-time method that allows quantification of muscle energy.
Min-Wen Lin, Shanq-Jang Ruan, Ya-Wen Tu
doaj   +1 more source

A Canine Musculoskeletal Robot for Investigating Biomechanical Functions During Locomotion

Advanced Robotics Research, EarlyView.
In this study, a dog limb musculoskeletal robot was developed using thin McKibben artificial muscles to investigate the effects of the dog's musculoskeletal structure on walking. Walking experiments were conducted in both indoor and outdoor environments, suggesting that the flexible structure of the dog's shoulders contributes to an increase in stroke ...
Hana Ito, Shoma Tanaka, Yunhao Feng, Hiroyuki Nabae, Yasuji Harada, Akira Fukuhara, Koichi Suzumori   +6 more
wiley   +1 more source

sEMG-based Sarcopenia risk classification using empirical mode decomposition and machine learning algorithms

Mathematical Biosciences and Engineering
Early detection of the risk of sarcopenia at younger ages is crucial for implementing preventive strategies, fostering healthy muscle development, and minimizing the negative impact of sarcopenia on health and aging.
Konki Sravan Kumar, Daehyun Lee, Ankhzaya Jamsrandoj , Necla Nisa Soylu , Dawoon Jung, Jinwook Kim, Kyung Ryoul Mun   +6 more
doaj   +1 more source

Does a SLAP lesion affect shoulder muscle recruitment as measured by EMG activity during a rugby tackle? [PDF]

, 2010
Background: The study objective was to assess the influence of a SLAP lesion on onset of EMG activity in shoulder muscles during a front on rugby football tackle within professional rugby players.
A Bathgate, A Burkhart, A Cresswell, AL Miller, BD Wilson, CD Morgan, Christer Rolf, CM Powers, Conley, DA Watters, DC Hughes, DF Gerrard, DJ Wadsworth, FH Fu, G David, G Fleisig, G Jull, GM Gartsman, H Seward, HC Hsu, Ian G Horsley, ID Gowan, J Ide, J Jerosch, J Oveson, J Towsend, JB Myers, JD Grauer, JHM Brooks, JR Andrews, JT Bencardino, KL Quarrie, L Herrington, Lee C Herrington, LG Portney, M Allegrucci, M Garraway, M Solomonow, MI Scovazzo, MJ Pagnani, MJ Pagnani, MW Maffett, MW Rodosky, N Gibb, N Poulliart, N Sharkey, P Hodges, P Hodges, PB O'Sullivan, PJ Bedford, PJ McMahon, PJ McNair, R Glouseman, R Glousman, R Lysens, RA Ekstrom, RG DeMont, RW Norman, S Conte, S Taimela, SA Hess, SB Swanik, SJ Snyder, SK Saha, TH Mercer, V Dietz, VT Inman, W Van Mechelen, WB Kibler, WH Meeuwisse, WH Meeuwisse   +70 more
core   +4 more sources

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

Multi-user motion recognition using sEMG via discriminative canonical correlation analysis and adaptive dimensionality reduction

Frontiers in Neurorobotics, 2022
The inability of new users to adapt quickly to the surface electromyography (sEMG) interface has greatly hindered the development of sEMG in the field of rehabilitation. This is due mainly to the large differences in sEMG signals produced by muscles when
Jinqiang Wang, Dianguo Cao, Yang Li, Jiashuai Wang, Yuqiang Wu   +4 more
doaj   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

sEMG-Based Gesture Recognition With Embedded Virtual Hand Poses and Adversarial Learning

IEEE Access, 2019
To improve the accuracy of surface electromyography (sEMG)-based gesture recognition, we present a novel hybrid approach that combines real sEMG signals with corresponding virtual hand poses.
Yu Hu, Yongkang Wong, Qingfeng Dai, Mohan Kankanhalli, Weidong Geng, Xiangdong Li   +5 more
doaj   +1 more source

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. [PDF]

, 2017
Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and ...
Jung, Tzyy-Ping, Litvan, Irene, Rajagopalan, Ramesh   +2 more
core   +2 more sources

Magnetically Responsive Piezoelectric Nanocapacitors Enhance Neural Recovery Following Spinal Cord Injury via Targeted Spinal Magnetic Stimulation

Advanced Science, EarlyView.
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, Tingting Li, Lechi Zhang, Chunya Xia, Zelin Su, Xuyan Ren, Yingjie Fan, Zerui Wu, Yaobo Liu, Min Su   +9 more
wiley   +1 more source