Name
Abstract | ||
|---|---|---|
Robot rehabilitation is now recognized as an important method for the efficient recovery. In European Project FP7 BioMot, we have discussed the potential of the robot rehabilitation and proposed the suitable process for it. In this paper, we describe the proposed rehabilitation process and create the theoretical basis for the robot rehabilitation through designing the control system and the patient model. To design the patient model, we describe the source of paralysis and motion controller separately and define the recovery function from the paralysis. In the theoretical analysis of the control system, we show that the robot motions are first adapted to the patient abnormal motions and gradually drive the patient motions to the better ones by the motion support. The singular perturbation analysis proves that the stabilities of the two different process, adaptation to the patient motions and the motion support to the better ones, as a slow motion subsystem and a fast motion subsystem, respectively. The simulation results show that the proposed control system can drive the patients to the better state depending on the patient conditions such as recovery speed and recovery potential. The proposed system can be tuned to fit to the variety of the real patient conditions when we apply it to the real applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/01691864.2019.1633402 | ADVANCED ROBOTICS |
Keywords | Field | DocType |
Robot rehabilitation strategy,theoretical approach,tacit learning,control method,singular perturbation | Rehabilitation,Control theory,Control theory,Rehabilitation robot,Control engineering,Singular perturbation,Engineering,Robot | Journal |
Volume | Issue | ISSN |
33.0 | 14 | 0169-1864 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shotaro Okajima | 1 | 0 | 1.35 |
| Fady Alnajjar | 2 | 66 | 12.23 |
| Álvaro Costa | 3 | 0 | 0.34 |
| Guillermo Asín Prieto | 4 | 20 | 3.20 |
| j l pons | 5 | 16 | 6.95 |
| Juan C Moreno | 6 | 21 | 4.27 |
| Yasuhisa Hasegawa | 7 | 456 | 94.62 |
| Shingo Shimoda | 8 | 135 | 20.49 |