Results 221 to 230 of about 37,674 (252)

Design and Voluntary Control of Variable Stiffness Exoskeleton Based on sEMG Driven Model

IEEE Robotics and Automation Letters, 2022
Exoskeleton robots are an exciting potential solution for patients with motor dysfunction to restore their daily activities. This letter introduces a variable stiffness exoskeleton robot (VSA-EXO) with variable stiffness actuators and a voluntary control
Yanghui Zhu, Qingcong Wu, Bai Chen, Ziyue Zhao   +3 more
semanticscholar   +1 more source

Metric Learning for Robust Gait Phase Recognition for a Lower Limb Exoskeleton Robot Based on sEMG

IEEE Transactions on Medical Robotics and Bionics, 2022
This study aims to develop a robust myoelectric control method for gait phase recognition in a lower-limb exoskeleton robot. In the proposed method, a metric learning-based temporal convolution network (ML-TCN) was utilized to extract discriminative ...
Jiaqing Liu, Can Wang, Bailin He, Pengbo Li, Xin Wu   +4 more
semanticscholar   +1 more source

Assessment of Muscle Fatigue Based on Motor Unit Firing, Muscular Vibration and Oxygenation via Hybrid Mini-Grid sEMG, MMG, and NIRS Sensing

IEEE Transactions on Instrumentation and Measurement, 2022
It is vital to measure muscular fatigue for human–machine interaction (HMI) and avoiding muscle impairment. This article presents a novel approach to comprehensively evaluate muscle fatigue through the fusion of mini-grid surface electromyography (sEMG),
Weichao Guo, X. Sheng, Xiangyang Zhu
semanticscholar   +1 more source

Fusing sEMG and EEG to Increase the Robustness of Hand Motion Recognition Using Functional Connectivity and GCN

IEEE Sensors Journal, 2022
Surface electromyogram (sEMG) is widely used in active rehabilitation control for stroke patients. However, the accuracy of movement recognition using sEMG signals is affected by abnormal states such as muscular fatigue and muscle weakness.
Shiqi Yang, Min Li, Jiale Wang
semanticscholar   +1 more source

Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration.

ACS Sensors
Textile-based surface electromyography (sEMG) electrodes have emerged as a prominent tool in muscle fatigue assessment, marking a significant shift toward innovative, noninvasive methods.
M. H. Medagedara, Anuradha Ranasinghe, T. Lalitharatne, R. Gopura, G. K. Nandasiri   +4 more
semanticscholar   +1 more source

Surface EMG (SEMG): A Synopsis

Biofeedback, 2019
Surface electromyography is an electrophysiological modality assessing the electrical activity of skeletal musculature. The Sella protocol is a structured assessment protocol, including static muscle assessment and dynamic muscle assessment, utilizing standardized electrode placements, conditions, and movements during assessment.
openaire   +1 more source

Frame-Based SEMG-to-Speech Conversion

2006 49th IEEE International Midwest Symposium on Circuits and Systems, 2006
This paper presents a methodology that uses surface electromyogram (SEMG) signals recorded from the cheek and chin to synthesize speech. A neural network is trained to map the SEMG features (short-time Fourier transform coefficients) into vector-quantized codebook indices of speech features (linear prediction coefficients, pitch, and energy).
Yuet-Ming Lam, Philip Heng-Wai Leong, Man-Wai Mak   +2 more
openaire   +1 more source

Variation of SEMG During Sprint Cycling

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004., 2005
As a non-invasive technique of identifying muscle activity, the SEMG (surface electromyogram) may be very useful. SEMG amplitude and frequency have been investigated as an indicator of muscular fatigue and to estimate muscle force and torque for the purpose of training athletes and for machine control.
null V.P. Singh, null Dinesh Kant Kumar, null D. Djuwari, null Barbara Polus, null S. Fraser, null J. Hawley, null S. Lo Giudice   +6 more
openaire   +1 more source

Head Posture Analysis using sEMG Signal

2018 International Conference on Advanced Computation and Telecommunication (ICACAT), 2018
The purpose of this study was to determine the muscle activity of upper trapezius muscle of different head posture at standing and sitting positions by using surface electromyography (sEMG) signals. This tool may be a non-invasive technique that enables the analysis of muscle activity.
Kavita Kushwah, Rakesh Narvey, Ashish Singhal   +2 more
openaire   +1 more source

HD-sEMG for Human Interfacing Devices

2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2019
The development of 6th Generation Computing introduced a new renaissance to Science, Technology, Engineering, Art, and Mathematics (STEAM). With tremendous improvements in data processing due to machine learning, there has been a resurgence in computer interface development.
Brendan P. Beauchamp, Nabeeh Kandalaft
openaire   +1 more source