Abstract
In our previous studies, the initial robotic system could only provide passive rehabilitation for spinally injured rats. To provide a more physiological walking gait, the robotic system is improved by synchronizing the gait between fore-limbs and hindlimbs. An improved phase learning is used to extract phases from movements in real time. An improved phase synchronization algorithm is proposed to control a rat's hindlimbs in synchronization with its forelimbs. To guarantee a phase synchronization performance of this robotic system, the RMS phase differences between the goal phase and the actual phase output from manipulators are quantified. Experimental results show that this approach has the potential to synchronize forelimbs movement with hindlimbs movement in real time as the RMS phase differences from our system are less than the variability of the walking phase difference from 14 healthy rats.
Original language | English |
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Title of host publication | ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology |
Subtitle of host publication | Smart Electrical System and Technology, Proceedings |
Editors | Yuttana Kumsuwan |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1125-1128 |
Number of pages | 4 |
ISBN (Electronic) | 9780738111278 |
DOIs | |
Publication status | Published - May 19 2021 |
Externally published | Yes |
Event | 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021 - Chiang Mai, Thailand Duration: May 19 2021 → May 22 2021 |
Publication series
Name | ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings |
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Conference
Conference | 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021 |
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Country/Territory | Thailand |
City | Chiang Mai |
Period | 5/19/21 → 5/22/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
ASJC Scopus Subject Areas
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems
- Electrical and Electronic Engineering
- Instrumentation
Keywords
- Phase learning
- Phase synchronization algorithm
- Phase synchronization index
- Rehabilitation robotic system