Spatio-spectral filters for low-density surface electromyographic signal classification

2013 ◽  
Vol 51 (5) ◽  
pp. 547-555 ◽  
Author(s):  
Gan Huang ◽  
Zhiguo Zhang ◽  
Dingguo Zhang ◽  
Xiangyang Zhu
Keyword(s):  
Signal Classification ◽  
Low Density ◽  
Spectral Filters ◽  
Density Surface ◽  
Electromyographic Signal ◽  
Surface Electromyographic Signal

Myoelectric Control: an alternative to Mirror Therapy

2021 ◽  
Vol 65 (1) ◽  
pp. 948-950
Author(s):  
Kouadio Niamba ◽  
Frank Schieber ◽  
Megan McCray
Keyword(s):  
Phantom Limb Pain ◽  
Signal Classification ◽  
Phantom Limb ◽  
Mirror Therapy ◽  
Limb Pain ◽  
Immersive Virtual Environment ◽  
Physiological Phenomenon ◽  
Electromyographic Signal ◽  
Surface Electromyographic Signal ◽  
Virtual Therapy

Evidence suggests that fifty to eighty percent (50-80%) of amputees conserve sensation in their missing limb after removal due to the presence of associated nerve endings. Most importantly, a large percentage of amputees experience episodic pain in the missing limb. This physiological phenomenon called phantom limb pain (PLP) has shown resistance to pharmaceutical treatments, but can be treated through mirror therapy. However, mirror therapy only yields temporary results and does not apply to bilateral amputees. Overcoming these challenges are the objectives of the present study. Using a surface electromyographic signal classification approach, this investigation intends to simulate the control of a missing limb within an immersive virtual environment. We predict that replacing mirror therapy with a more immersive “virtual therapy” can serve as a prolonged psychological solution to phantom limb pain.

Comparison of SEMG Derived Parameters and Blood Oxygen Saturation in Monitoring Neuromuscular Fatigue in Humans

2013 ◽  
Vol 1 (4) ◽  
pp. 9-19
Author(s):  
M. Tarata ◽  
W. Wolf ◽  
D. Georgescu ◽  
D. Alexandru ◽  
M. Serbanescu
Keyword(s):  
Oxygen Saturation ◽  
Work Performance ◽  
Muscle Activation ◽  
Neuromuscular Fatigue ◽  
Blood Oxygen ◽  
Blood Oxygen Saturation ◽  
Noninvasive Methods ◽  
Electromyographic Signal ◽  
Surface Electromyographic Signal ◽  
Original Approach

The effects of neuromuscular fatigue are various and with serious consequences on work performance and safety. This paper provides a practical overview of several noninvasive methods of investigating neuromuscular fatigue (NMF), mainly via the surface electromyographic signal (SEMG), as essentially related to the muscle contraction and intimately mirroring muscle activation and contraction mechanisms. The purpose of this paper is to identify the most suitable non-invasively derived parameters for detecting and quantifying NMF, to be practically used in monitoring people exposed to high risks, such as fighter pilots. Wavelet Transform-based techniques (WT), as well as another original approach, together with the blood oxygen saturation are analyzed and discussed, based on results from preliminary experiments.

Normalization Patterns of the Surface Electromyographic Signal in the Phonation Evaluation

2015 ◽  
Vol 29 (1) ◽  
pp. 129.e1-129.e8 ◽  
Author(s):  
Patricia Maria Mendes Balata ◽  
Hilton Justino da Silva ◽  
Leandro de Araújo Pernambuco ◽  
Jabson Herber Profiro de Oliveira ◽  
Sílvia Regina Arruda de Moraes
Keyword(s):  
Electromyographic Signal ◽  
Surface Electromyographic Signal
Sign in / Sign up

Export Citation Format

Share Document