Results 61 to 70 of about 29,904 (258)
Applied Force and sEMG Muscle Activity Required To Operate Pistol Grip Control in an Electric Utility Aerial Bucket [PDF]
, 2017 Electric utility line workers report high levels of fatigue in forearm muscles when operating a conventional pistol grip control in aerial buckets.
Garces, Casey D. +5 more
core +1 more source
Wearable sensors system for an improved analysis of freezing of gait in Parkinson's disease using electromyography and inertial signals [PDF]
, 2019 We propose a wearable sensor system for automatic, continuous and ubiquitous analysis of Freezing of Gait (FOG), in patients affected by Parkinson's disease.
Gumiero, Alessandro +5 more
core +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Frontiers in Neurology, 2020 Surface electromyography (sEMG) is a non-invasive method, which may be used in France by health practitioners without medical degree, such as physiotherapists, who are taught in Institutes of physiotherapy.
Pierre Portero +4 more
doaj +1 more source
Low-cost stimulation resistant electromyography
HardwareX, 2021 Surface Electromyography (sEMG) is the non-invasive measurement of skeletal muscle contraction bio-potentials. Measuring sEMG of a stimulated muscle can prove particularly difficult due to large scale and long lasting stimulation-induced artefacts: if an
Lachlan R. McKenzie +3 more
doaj +1 more source
The distribution of information for sEMG signals in the rectal cancer treatment process
, 2018 The electrical activity of external anal sphincter can be registered with surface electromyography. This signals are known to be highly complex and nonlinear.
Machura, Lukasz +3 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia +5 more
wiley +1 more source
Low-cost active electromyography
HardwareX, 2019 Electromyography (sEMG) is the technique applied to measure the bio-potential signal produced by a contracting skeletal muscle. sEMG has been used for subject intention estimation, force estimation, limb angle estimation and determining muscle activation
Benjamin C. Fortune +4 more
doaj +1 more source
Multifractal characteristics of external anal sphincter based on sEMG signals
, 2017 This work presents the application of Multifractal Detrended Fluctuation Analysis for the surface electromyography signals obtained from the patients suffering from rectal cancer.
Machura, Lukasz +2 more
core +1 more source