DocumentCode :
1015727
Title :
The Effect of ECG Interference on Pattern-Recognition-Based Myoelectric Control for Targeted Muscle Reinnervated Patients
Author :
Hargrove, Levi ; Zhou, Ping ; Englehart, Kevin ; Kuiken, Todd A.
Author_Institution :
Neural Eng. Center for Artificial Limbs, Rehabilitation Inst. of Chicago, Chicago, IL, USA
Volume :
56
Issue :
9
fYear :
2009
Firstpage :
2197
Lastpage :
2201
Abstract :
Targeted muscle reinnervation has been introduced as an effective neural machine interface. In the case of a shoulder disarticulation patient, an effective site for a nerve transfer involves the pectoralis muscles, as these perform little useful function with a missing limb. Consequently, the myoelectric signals measured from the reinnervated muscles may be corrupted by a large amount of ECG interference. This paper investigates the effect of ECG upon the accuracy of a pattern-classification-based scheme for myoelectric control of powered upper limb prostheses. The results suggest that ECG interference, at levels typically encountered in a clinical measurement, has little effect upon classification accuracy, but can affect the estimate of myoelectric activity used to convey the velocity of motion (commonly referred to as proportional control). High-pass filtering at approximately 100 Hz appears to effectively mitigate the effect of ECG interference.
Keywords :
brain-computer interfaces; electrocardiography; electromyography; high-pass filters; man-machine systems; medical control systems; neuromuscular stimulation; pattern recognition; ECG interference; high pass filtering; myoelectric control; neural machine interface; pattern ecognition; targeted muscle reinnervation; Artificial limbs; Biological materials; Biomedical engineering; Biomedical materials; Biomedical measurements; Electrocardiography; Electromyography; Interference; Muscles; Neural engineering; Proportional control; Prosthetics; Wrist; Classification; electromyography (EMG); myoelectric control; neural machine interface (NMI); pattern recognition; Amputation Stumps; Artificial Limbs; Electrocardiography; Electromyography; Humans; Man-Machine Systems; Pattern Recognition, Automated; Pectoralis Muscles; Shoulder;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2008.2010392
Filename :
4694125
Link To Document :
بازگشت