• Je něco špatně v tomto záznamu ?

Control Methods for Transradial Prostheses Based on Remnant Muscle Activity and Its Relationship with Proprioceptive Feedback

S. Grushko, T. Spurný, M. Černý

. 2020 ; 20 (17) : . [pub] 20200828

Jazyk angličtina Země Švýcarsko

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc21012239

Grantová podpora
CZ.02.1.01/0.0/0.0/17_049/0008425 Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration project

The loss of a hand can significantly affect one's work and social life. For many patients, an artificial limb can improve their mobility and ability to manage everyday activities, as well as provide the means to remain independent. This paper provides an extensive review of available biosensing methods to implement the control system for transradial prostheses based on the measured activity in remnant muscles. Covered techniques include electromyography, magnetomyography, electrical impedance tomography, capacitance sensing, near-infrared spectroscopy, sonomyography, optical myography, force myography, phonomyography, myokinetic control, and modern approaches to cineplasty. The paper also covers combinations of these approaches, which, in many cases, achieve better accuracy while mitigating the weaknesses of individual methods. The work is focused on the practical applicability of the approaches, and analyses present challenges associated with each technique along with their relationship with proprioceptive feedback, which is an important factor for intuitive control over the prosthetic device, especially for high dexterity prosthetic hands.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21012239
003      
CZ-PrNML
005      
20210507104514.0
007      
ta
008      
210420s2020 sz f 000 0|eng||
009      
AR
024    7_
$a 10.3390/s20174883 $2 doi
035    __
$a (PubMed)32872291
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sz
100    1_
$a Grushko, Stefan $u Department of Robotics, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
245    10
$a Control Methods for Transradial Prostheses Based on Remnant Muscle Activity and Its Relationship with Proprioceptive Feedback / $c S. Grushko, T. Spurný, M. Černý
520    9_
$a The loss of a hand can significantly affect one's work and social life. For many patients, an artificial limb can improve their mobility and ability to manage everyday activities, as well as provide the means to remain independent. This paper provides an extensive review of available biosensing methods to implement the control system for transradial prostheses based on the measured activity in remnant muscles. Covered techniques include electromyography, magnetomyography, electrical impedance tomography, capacitance sensing, near-infrared spectroscopy, sonomyography, optical myography, force myography, phonomyography, myokinetic control, and modern approaches to cineplasty. The paper also covers combinations of these approaches, which, in many cases, achieve better accuracy while mitigating the weaknesses of individual methods. The work is focused on the practical applicability of the approaches, and analyses present challenges associated with each technique along with their relationship with proprioceptive feedback, which is an important factor for intuitive control over the prosthetic device, especially for high dexterity prosthetic hands.
650    12
$a umělé končetiny $7 D001186
650    12
$a elektromyografie $7 D004576
650    12
$a senzorická zpětná vazba $7 D056228
650    _2
$a ruka $7 D006225
650    _2
$a lidé $7 D006801
650    _2
$a svaly $7 D009132
650    _2
$a propriocepce $7 D011434
650    _2
$a protézy - design $7 D011474
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Spurný, Tomáš $u Department of Robotics, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
700    1_
$a Černý, Martin $u Department of Robotics, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
773    0_
$w MED00008309 $t Sensors (Basel, Switzerland) $x 1424-8220 $g Roč. 20, č. 17 (2020)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/32872291 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20210420 $b ABA008
991    __
$a 20210507104512 $b ABA008
999    __
$a ok $b bmc $g 1650582 $s 1132618
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 20 $c 17 $e 20200828 $i 1424-8220 $m Sensors $n Sensors Basel $x MED00008309
GRA    __
$a CZ.02.1.01/0.0/0.0/17_049/0008425 $p Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration project
LZP    __
$a Pubmed-20210420

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...