Safety Protection Method of Rehabilitation Robot Based on fNIRS and RGB-D Information Fusion
| Autor: | Dong Li, Zheng Wang, Na Lü, Wenzheng Chi, Fan Yulin, Guodong Chen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
Rehabilitation Computer science business.industry medicine.medical_treatment Functional connectivity ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Active safety Rehabilitation robot Information fusion SAFER medicine Robot Computer vision Artificial intelligence business Focus (optics) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Journal of Shanghai Jiaotong University (Science). 27:45-54 |
| ISSN: | 1995-8188 1007-1172 |
| DOI: | 10.1007/s12204-021-2365-6 |
| Popis: | In order to improve the safety protection performance of the rehabilitation robot, an active safety protection method is proposed in the rehabilitation scene. The oxyhemoglobin concentration information and RGB-D information are combined in this method, which aims to realize the comprehensive monitoring of the invasion target, the patient’s brain function movement state, and the joint angle in the rehabilitation scene. The main focus is to study the fusion method of the oxyhemoglobin concentration information and RGB-D information in the rehabilitation scene. Frequency analysis of brain functional connectivity coefficient was used to distinguish the basic motion states. The human skeleton recognition algorithm was used to realize the angle monitoring of the upper limb joint combined with the depth information. Compared with speed and separation monitoring, the protection method of multi-information fusion is safer and more comprehensive for stroke patients. By building the active safety protection platform of the upper limb rehabilitation robot, the performance of the system in different safety states is tested, and the safety protection performance of the method in the upper limb rehabilitation scene is verified. |
| Databáze: | OpenAIRE |
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