A Way of Bionic Control Based on EI, EMG, and FMG Signals.
electrical impedance
electromyogram
force myogram
neuromuscular interface
orthosis
prosthesis
sensor system
simultaneous acquisition
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
27 Dec 2021
27 Dec 2021
Historique:
received:
09
11
2021
revised:
07
12
2021
accepted:
22
12
2021
entrez:
11
1
2022
pubmed:
12
1
2022
medline:
13
1
2022
Statut:
epublish
Résumé
Creating highly functional prosthetic, orthotic, and rehabilitation devices is a socially relevant scientific and engineering task. Currently, certain constraints hamper the development of such devices. The primary constraint is the lack of an intuitive and reliable control interface working between the organism and the actuator. The critical point in developing these devices and systems is determining the type and parameters of movements based on control signals recorded on an extremity. In the study, we investigate the simultaneous acquisition of electric impedance (EI), electromyography (EMG), and force myography (FMG) signals during basic wrist movements: grasping, flexion/extension, and rotation. For investigation, a laboratory instrumentation and software test setup were made for registering signals and collecting data. The analysis of the acquired signals revealed that the EI signals in conjunction with the analysis of EMG and FMG signals could potentially be highly informative in anthropomorphic control systems. The study results confirm that the comprehensive real-time analysis of EI, EMG, and FMG signals potentially allows implementing the method of anthropomorphic and proportional control with an acceptable delay.
Identifiants
pubmed: 35009694
pii: s22010152
doi: 10.3390/s22010152
pmc: PMC8747574
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Russian Foundation for Basic Research
ID : 20-58-12006
Organisme : Deutsche Forschungsgemeinschaft
ID : LE 817/41-1
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