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
Link To Document :
بازگشت