Ana Mandeljc (Author), Aleksander Rajhard (Author), Marko Munih (Author), Roman Kamnik (Author)

Abstract

Due to the ageing population and an increasing number of stroke patients, we see the potential future of rehabilitation in telerehabilitation, which might alleviate the workload of physiotherapists and occupational therapists. In order to enable the use of telerehabilitation, devices aimed for home and independent use need to be developed. This paper describes the design of a robotic device for post-stroke wrist and finger rehabilitation and evaluates the movement it can perform. Six healthy subjects were tested in three experimental conditions: performing a coupled movement of wrist and fingers from flexion to extension without the device, with a passive device, and with an active device. The kinematics of the hand were captured using three Optotrak Certus motion capture systems and tracking 11 infrared active light-emitting diode (LED) markers. The results are presented in the form of base-line trajectories for all middle finger (MF) joints. In addition, the deviations of trajectories between conditions across all subjects were computed for the metacarpophalangeal (MCP) joint and fingertip of the MF and pinkie (PF) finger. Deviations from the base-line trajectory between measurement protocols and the root-mean-square deviation (RMSD) values indicate that the motion of the hand, imposed by the developed device, is comparable to the unconstrained motion of the healthy subjects, especially when moving into the extension, opening the hand.

Keywords

možganska kap;zapestje;prst;rehabilitacija;roboti;eksoskelet;stroke;wrist;finger;rehabilitation;robots;eksoskeleton;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FE - Faculty of Electrical Engineering
UDC: 007.52:616.831-005.1
COBISS: 95658243 Link will open in a new window
ISSN: 2076-3417
Views: 88
Downloads: 38
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Other data

Secondary language: Slovenian
Secondary keywords: možganska kap;zapestje;prst;rehabilitacija;roboti;eksoskelet;
Type (COBISS): Article
Pages: str. 1-18
Volume: ǂno. ǂ3
Issue: 1092
Chronology: Feb.-1 2022
DOI: 10.3390/app12031092
ID: 15504093
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