Deep learning for EMG-based human-machine interaction: A review

D Xiong, D Zhang, X Zhao… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Electromyography (EMG) has already been broadly used in human-machine interaction
(HMI) applications. Determining how to decode the information inside EMG signals robustly …

A review of the key technologies for sEMG-based human-robot interaction systems

K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Surface EMG in clinical assessment and neurorehabilitation: barriers limiting its use

I Campanini, C Disselhorst-Klug, WZ Rymer… - Frontiers in …, 2020 - frontiersin.org
This article addresses the potential clinical value of techniques based on surface
electromyography (sEMG) in rehabilitation medicine with specific focus on …

Wearable and flexible textile electrodes for biopotential signal monitoring: A review

G Acar, O Ozturk, AJ Golparvar, TA Elboshra… - Electronics, 2019 - mdpi.com
Wearable electronics is a rapidly growing field that recently started to introduce successful
commercial products into the consumer electronics market. Employment of biopotential …

A review of classification techniques of EMG signals during isotonic and isometric contractions

N Nazmi, MA Abdul Rahman, SI Yamamoto, SA Ahmad… - Sensors, 2016 - mdpi.com
In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …

[HTML][HTML] Surface electromyography signal processing and classification techniques

RH Chowdhury, MBI Reaz, MABM Ali, AAA Bakar… - Sensors, 2013 - mdpi.com
Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …

[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Fatigue in healthy and diseased individuals

J Finsterer, SZ Mahjoub - American Journal of Hospice and …, 2014 - journals.sagepub.com
Objectives: Although fatigue is experienced by everyone, its definition and classification
remains under debate. Methods: A review of the previously published data on fatigue …

An automatic and non-invasive physical fatigue assessment method for construction workers

Y Yu, H Li, X Yang, L Kong, X Luo, AYL Wong - Automation in construction, 2019 - Elsevier
The construction industry around the globe has unsatisfactory occupational health and
safety records. One of the major reasons is attributed to high physical demands and hostile …

The usefulness of mean and median frequencies in electromyography analysis

A Phinyomark, S Thongpanja, H Hu… - … -A perspective on …, 2012 - books.google.com
Rich useful information can be obtained from the muscles and researchers can use such
information in a wide class of clinical and engineering applications by measuring surface …