Results 101 to 110 of about 4,745,189 (173)

Oxygen Consumption (VO₂) and Surface Electromyography (sEMG) during Moderate-Strength Training Exercises. [PDF]

Int J Environ Res Public Health, 2022
Adeel M, Chen HC, Lin BS, Lai CH, Wu CW, Kang JH, Liou JC, Peng CW.   +7 more
europepmc   +1 more source

Wavelet Denoising and Surface Electromyography Analysis

, 2012
: In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG.
M S Hussain, Md Mamun
core  

Assessment of Muscle Fatigue Progression Based on Surface Electromyograph Sensor: A Pilot Study

NTU Journal of Engineering and Technology
Surface muscle fatigue (MF) is an important area to study especially in medicine and sport. One way to detect and process muscle fatigue is by the use of surface electromyography (sEMG).
Zainab Mahmood Tariq, Mohammed Sabah Jarjees   +1 more
doaj   +1 more source

Reliability of pelvic floor muscle surface electromyography (sEMG) recordings during synchronous whole body vibration. [PDF]

PLoS One, 2021
Chmielewska D, Sobota G, Dolibog P, Dolibog P, Opala-Berdzik A.   +4 more
europepmc   +1 more source

Surface Electromyography (sEMG) Activity of Masticatory Muscle (Masseter and Temporalis) with Three Different Types of Orthodontic Bracket. [PDF]

Biomed Res Int, 2021
Nishi SE, Rahman NA, Basri R, Alam MK, Noor NFM, Zainal SA, Husein A.   +6 more
europepmc   +1 more source

Single channel surface electromyography blind recognition model based on watermarking

, 2011
A single channel electromyography blind recognition model based on watermarking is proposed in this paper. Single Channel Independent Component Analysis is adopted to avoid complicated circuit connection and the unreliability of hardware and reduce the ...
Guo Yina, Zhou Dawei
core   +1 more source

The influence of digital filter type, amplitude normalisation method, and co-contraction algorithm on clinically relevant surface electromyography data during clinical movement assessments

, 2016
There is a large and growing body of surface electromyography (sEMG) research using laboratory-specific signal processing procedures (i.e., digital filter type and amplitude normalisation protocols) and data analyses methods (i.e., co-contraction ...
Alderson, Jacqueline A, Donnelly, Cyril J, Devaprakash, Daniel, Weir, Gillian J, Dunne, James J   +4 more
core   +1 more source

Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition

, 2016
Hand motion recognition based on surface electromyography (sEMG) has drawn much attention over last decades. Generally, sEMG can be non-invasively measured on the skin, and then different stable features directly relating to hand motion are extracted ...
Zhao XG(赵新刚), Liu GJ(刘光军), Li ZY(李自由), Han JD(韩建达)   +3 more
core  

Impact of an upper limb motion-driven virtual rehabilitation system on residual motor function in patients with complete spinal cord injury： a pilot study

Journal of NeuroEngineering and Rehabilitation
Background Assessing residual motor function in motor complete spinal cord injury (SCI) patients using surface electromyography (sEMG) is clinically important. Due to the prolonged loss of motor control and peripheral sensory input, patients may struggle
Yanqing Xiao, Yang Gao, Hongming Bai, Guiyun Song, Hanming Wang, Jia-Sheng Rao, Aimin Hao, Xiaoguang Li, Jia Zheng   +8 more
doaj   +1 more source

sEMG-based single-joint active training with iLeg—A horizontal exoskeleton for lower limb rehabilitation

, 2014
In this paper, surface electromyography (sEMG) from muscles of the lower limb is acquired and processed to estimate the singlejoint voluntary motion intention, based on which, two single-joint active training strategies are proposed with iLeg, a ...
Z-G Hou (13692196), J Hu (7741025), L Peng (13383390), N Gu (13496617)   +3 more
core