Zobrazeno 1 - 10
of 249
pro vyhledávání: '"Electromyographic signals"'
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
PurposeThis study aims to develop a assessment system for evaluating shoulder joint muscle strength in patients with varying degrees of upper limb injuries post-stroke, using surface electromyographic (sEMG) signals and joint motion data.MethodsThe a
Externí odkaz:
https://doaj.org/article/85ec41391c4f4479ac7f5a785fd25b01
Autor:
Rita Q. Fuentes-Aguilar, Dusthon Llorente-Vidrio, Leobardo Campos-Macias, Eduardo Morales-Vargas
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111079- (2024)
This work presents the MuscleTracker Hand Movement dataset, containing Surface Electromyography (sEMG) data from the right arm of 49 healthy subjects without neuromuscular or cardiovascular issues. Subjects performed five hand movements—pronation w
Externí odkaz:
https://doaj.org/article/05934182659342bc8c78bb0f5631719f
Autor:
Hussein Naser, Hashim A. Hashim
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200144- (2024)
This work presents a semi-supervised multilayer neural network (MLNN) with an Autoencoder to develop a classification model for recognizing hand gestures from electromyographic (EMG) signals. Using a Myo armband equipped with eight non-invasive surfa
Externí odkaz:
https://doaj.org/article/2565e2355bcc4e1ab4f900ea537ea3a3
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 11, Pp n/a-n/a (2024)
This study introduces a flexure‐based supernumerary robotic finger (FBSF) inspired by the proportions of the human thumb, aiming to overcome existing limitations in robotic finger design. In pursuit of seamless cooperation with the user's hand, hum
Externí odkaz:
https://doaj.org/article/2e704ffa21d8432bb8ea0904966e54ab
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3933-3941 (2024)
Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction processing can reduce the dimension of the data and improve
Externí odkaz:
https://doaj.org/article/e1ec728ef14e469bbbbe1656978b7225
Publikováno v:
IEEE Access, Vol 12, Pp 53986-54004 (2024)
The lower limb exoskeleton technology is designed to facilitate the movement of human lower limbs. Significant progress has been made in this technology, which has important implications for rehabilitation patients and individuals who are eager to en
Externí odkaz:
https://doaj.org/article/bd7b209a1fdf4c929550e9653a1f7cff
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6009 (2024)
This study explores the health consequences of prolonged sitting by introducing a standing chair and examining the effects of seat tilt angles on comfort. Using synchronized pressure distribution testing and surface electromyographic (sEMG) signal an
Externí odkaz:
https://doaj.org/article/ce465aff82e1403ea1995424bf459a65
Autor:
Wang Ying
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Technology-enabled snow and ice sports data optimization facilitates the development of snow and ice sports training strategies and provides support for ensuring the safety and enhancing the training effect of youth snow and ice sports. This paper de
Externí odkaz:
https://doaj.org/article/12bc50a54389437a90668e72b92fd9d2
Autor:
Erick Guzmán-Quezada, Claudia Mancilla-Jiménez, Fernanda Rosas-Agraz, Rebeca Romo-Vázquez, Hugo Vélez-Pérez
Publikováno v:
Sensors, Vol 24, Iss 11, p 3264 (2024)
The integration of artificial intelligence (AI) models in the classification of electromyographic (EMG) signals represents a significant advancement in the design of control systems for prostheses. This study explores the development of a portable sy
Externí odkaz:
https://doaj.org/article/d3e3394860924f8686d4fccbe93ab74b
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