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Myoelectric signal processing for control of limb prostheses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Myoelectric signal processing for control of limb prostheses./
作者:	Grant, Rob.
面頁冊數:	1 online resource (123 pages)
附註:	Source: Masters Abstracts International, Volume: 55-01.
Contained By:	Masters Abstracts International55-01.
標題:	Biomedical research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM78370click for full text (PQDT)
ISBN:	9780315783706

Myoelectric signal processing for control of limb prostheses.
Grant, Rob.

Myoelectric signal processing for control of limb prostheses. - 1 online resource (123 pages)

Source: Masters Abstracts International, Volume: 55-01.

Thesis (M.A.Sc.)--University of Toronto (Canada), 1992.

Includes bibliographical references

This thesis investigates the extraction of information from a single bipolar myoelectric (ME) signal. Currently, ME signals are used to control artificial limb prostheses clinically. Very little processing of the ME signal, however, is used in conventional systems. The aim of this thesis is to investigate various sophisticated ME signal processing strategies to develop a clinically viable alternative to the conventional ME controlled limb prosthesis. The strategies investigated combined neural-net and spectral processing. These approaches were compared in a preliminary investigation to determine which is the most promising ME signal processing approach for implementation. Implementation of this approach in real-time then allowed clinical measures to be used in its analysis. Comparison of the results of this analysis with clinical results of conventional systems indicated the viability of the more sophisticated scheme for use in a Prosthetic Controller. (Abstract shortened by UMI.).

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9780315783706Subjects--Topical Terms:

3433833
Biomedical research.
Index Terms--Genre/Form:

542853
Electronic books.

Myoelectric signal processing for control of limb prostheses.
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100 1 $a Grant, Rob. $3 3698530
245 1 0 $a Myoelectric signal processing for control of limb prostheses.
264 0 $c 1992
300 $a 1 online resource (123 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 55-01.
500 $a Publisher info.: Dissertation/Thesis.
502 $a Thesis (M.A.Sc.)--University of Toronto (Canada), 1992.
504 $a Includes bibliographical references
520 $a This thesis investigates the extraction of information from a single bipolar myoelectric (ME) signal. Currently, ME signals are used to control artificial limb prostheses clinically. Very little processing of the ME signal, however, is used in conventional systems. The aim of this thesis is to investigate various sophisticated ME signal processing strategies to develop a clinically viable alternative to the conventional ME controlled limb prosthesis. The strategies investigated combined neural-net and spectral processing. These approaches were compared in a preliminary investigation to determine which is the most promising ME signal processing approach for implementation. Implementation of this approach in real-time then allowed clinical measures to be used in its analysis. Comparison of the results of this analysis with clinical results of conventional systems indicated the viability of the more sophisticated scheme for use in a Prosthetic Controller. (Abstract shortened by UMI.).
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Biomedical research. $3 3433833
650 4 $a Electrical engineering. $3 649834
650 4 $a Biomedical engineering. $3 535387
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0541
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Toronto (Canada). $3 1017674
773 0 $t Masters Abstracts International $g 55-01.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM78370 $z click for full text (PQDT)