DocumentCode :
2101846
Title :
Performance of pattern recognition myoelectric control using a generic electrode grid with Targeted Muscle Reinnervation patients
Author :
Tkach, Dennis C. ; Young, Aaron J. ; Smith, Lauren H. ; Hargrove, Levi J.
Author_Institution :
Center for Bionic Med., Rehabilitation Inst. of Chicago, Chicago, IL, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
4319
Lastpage :
4323
Abstract :
Targeted muscle reinnervation (TMR) is a surgical technique that creates myoelectric prosthesis control sites for high-level amputees. The electromyographic signal patterns provided by the reinnervated muscles are well-suited for pattern recognition (PR) control. PR control uses more electrodes compared to conventional amplitude control techniques but their placement on the residual limb is less critical than for conventional amplitude control. In this contribution, we demonstrate that classification error and real-time control performances using a generically placed electrode grid were equivalent or superior to the performance when using targeted electrode placements on two transhumeral amputee subjects with TMR. When using a grid electrode layout, subjects were able to complete actions 0.290 sec to 1 sec faster and with greater accuracy as compared to clinically localized electrode placement (mean classification error of 1.35% and 3.2%, respectively, for a 5 movement-class classifier).These findings indicate that a grid electrode arrangement has the potential to improve control of a myoelectric prosthesis while reducing the time and effort associated with fitting the prosthesis due to clinical localization of control sites on amputee patients.
Keywords :
biomedical electrodes; electromyography; medical control systems; medical signal processing; pattern recognition; prosthetics; signal classification; classification error; conventional amplitude control techniques; electromyographic signal patterns; generic electrode grid; grid electrode layout; high-level amputees; movement-class classifier; myoelectric control pattern recognition; myoelectric prosthesis control; real-time control performances; residual limb placement; targeted muscle reinnervation patients; time 0.290 s to 1 s; transhumeral amputee subjects; Electrodes; Electromyography; Muscles; Pattern recognition; Prosthetics; Real-time systems; Tunneling magnetoresistance; Amputation Stumps; Electromyography; Feedback, Physiological; Humans; Muscle Contraction; Muscle, Skeletal; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346922
Filename :
6346922
Link To Document :
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