Paper Info
Title
Crosstalk Reduction in Epimysial EMG Recordings from Transhumeral Amputees with Principal Component Analysis.
Abstract
Electromyographic (EMG) recordings of muscle activity using monopolar electrodes suffer from poor spatial resolution due to the crosstalk from neighbouring muscles. This effect has mainly been studied on surface EMG recordings. Here, we use Principal Component Analysis (PCA) to reduce the crosstalk in recordings from unipolar epimysial electrodes implanted in three transhumeral amputees. We show that the PCA-transformed signals have, on average, a better signal-tonoise ratio than the original unipolar recordings. Preliminary investigations show that this transformation is stable over long periods of time. If the latter is confirmed, our results show that the combination of PCA with unipolar electrodes allows for a higher number of muscles to be targeted in an implant (compared with bipolar electrodes), thus facilitating 1-to-1 proportional control of prosthetic hands.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8512645
EMBC
Field
DocType
Volume
Muscle activity,Biomedical engineering,Computer vision,Proportional control,Crosstalk,Computer science,Signal-to-noise ratio,Electromyography,Artificial intelligence,Principal component analysis
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Ana Matran-Fernandez1192.14
Enzo Mastinu200.68
Riccardo Poli32589308.79
Max Ortiz-Catalan4254.87
luca citi516827.88