DocumentCode
1346764
Title
Control of Hand Prostheses Using Peripheral Information
Author
Micera, Silvestro ; Carpaneto, Jacopo ; Raspopovic, Stanisa
Author_Institution
ARTS Lab., Scuola Superiore Sant´´Anna, Pisa, Italy
Volume
3
fYear
2010
fDate
7/2/1905 12:00:00 AM
Firstpage
48
Lastpage
68
Abstract
Several efforts have been carried out to enhance dexterous hand prosthesis control by impaired individuals. Choosing which voluntary signal to use for control purposes is a critical element to achieve this goal. This review presents and discusses the recent results achieved by using electromyographic signals, recorded either with surface (sEMG) or intramuscular (iEMG) electrodes, and electroneurographic (ENG) signals. The potential benefits and shortcomings of the different approaches are described with a particular attention to the definition of all the steps required to achieve an effective hand prosthesis control in the different cases. Finally, a possible roadmap in the field is also presented.
Keywords
biomedical electrodes; electromyography; medical computing; medical control systems; medical signal processing; neurophysiology; prosthetics; dexterous hand prosthesis control; electromyographic signal; electroneurographic signal; intramuscular EMG electrodes; peripheral information; surface EMG electrodes; voluntary signal; Electrodes; Electromyography; Feature extraction; Muscles; Prosthetics; Sensors; Switches; Cybernetic hand prostheses; electromyographic (EMG) signals; electroneurographic (ENG) signals; hybrid bionic systems; intraneural interfaces; sensory feedback; Algorithms; Artificial Limbs; Electrodes; Electromyography; Hand; Humans; Muscle, Skeletal;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Reviews in
Publisher
ieee
ISSN
1937-3333
Type
jour
DOI
10.1109/RBME.2010.2085429
Filename
5598519
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