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m o d |
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211130s2022 sz a ob 000 0 eng d |
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|a YDX
|b eng
|e rda
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|d GW5XE
|d EBLCP
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| 019 |
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|a 1286704794
|a 1286792064
|a 1287137849
|a 1294359384
|a 1296666483
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| 020 |
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|a 9783030902834
|q (electronic bk.)
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|a 3030902838
|q (electronic bk.)
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|z 9783030902827
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|z 303090282X
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| 024 |
7 |
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|a 10.1007/978-3-030-90283-4
|2 doi
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| 035 |
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|a (OCoLC)1286665277
|z (OCoLC)1286704794
|z (OCoLC)1286792064
|z (OCoLC)1287137849
|z (OCoLC)1294359384
|z (OCoLC)1296666483
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|b Springer
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|a RD755
|b .S43 2022
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|a MQW
|2 bicssc
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| 072 |
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|a TEC059000
|2 bisacsh
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7 |
|a MQW
|2 thema
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Secciani, Nicole,
|e author.
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| 245 |
1 |
0 |
|a SEMG-based control strategy for a hand exoskeleton system /
|c Nicola Secciani.
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| 264 |
|
1 |
|a Cham :
|b Springer,
|c [2022]
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| 264 |
|
4 |
|c ©2022
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| 300 |
|
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|a 1 online resource :
|b illustrations (chiefly color)
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
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| 347 |
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|b PDF
|
| 490 |
1 |
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|a Springer theses,
|x 2190-5061
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| 500 |
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|a "Doctoral thesis accepted by University of Florence, Italy."
|
| 504 |
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|a Includes bibliographical references.
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| 520 |
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|a This book reports on the design and testing of an sEMG-based control strategy for a fully-wearable low-cost hand exoskeleton. It describes in detail the modifications carried out to the electronics of a previous prototype, covering in turn the implementation of an innovative sEMG classifier for predicting the wearer's motor intention and driving the exoskeleton accordingly. While similar classifier have been widely used for motor intention prediction, their application to wearable device control has been neglected so far. Thus, this book fills a gap in the literature providing readers with extensive information and a source of inspiration for the future design and control of medical and assistive devices.
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| 505 |
0 |
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|a Introduction -- Background: first-stage device -- The new control system -- Tests and results.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed December 6, 2021).
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| 650 |
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0 |
|a Robotics in medicine.
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| 650 |
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0 |
|a Self-help devices for people with disabilities.
|
| 650 |
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0 |
|a Robotic exoskeletons.
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| 650 |
|
7 |
|a Robotic exoskeletons
|2 fast
|
| 650 |
|
7 |
|a Robotics in medicine
|2 fast
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| 650 |
|
7 |
|a Self-help devices for people with disabilities
|2 fast
|
| 776 |
0 |
8 |
|i Print version:
|a Secciani, Nicole.
|t SEMG-based control strategy for a hand exoskeleton system.
|d Cham : Springer, [2022]
|z 303090282X
|z 9783030902827
|w (OCoLC)1273078496
|
| 830 |
|
0 |
|a Springer theses.
|x 2190-5061
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-90283-4
|y Click for online access
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| 903 |
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|a SPRING-ENGINE2022
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| 994 |
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|a 92
|b HCD
|