TY - GEN
T1 - Evoking and Evaluation of Non-invasive Sensory Feedback for Applications in Neural Rehabilitation
T2 - 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
AU - Dong, Yuanzhe
AU - Tang, Xi
AU - Jiang, Naifu
AU - Xie, Jun
AU - Liang, Wenyuan
AU - Shang, Peng
AU - Li, Guanglin
AU - Fang, Peng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Protheses are very useful for limb amputees to restore their lost motor functions. However, most commercially available prostheses lack an intuitive and natural sensory feedback function, which may strongly limit the performance of prosthetic control and lowers the acceptance of amputees. As a non-invasive stimulation method, Transcutaneous Electrical Nerve Stimulation (TENS) has been proven to effectively evoke intuitive and natural sensations, which is practical for upper-limb amputees in clinical applications. In this paper, we explored the relationship between TENS modalities and induced sensory information based on able-bodied subjects by using electroencephalogram (EEG). We computed the Event-related Potential (ERP) and Brain Electrical Activity Mapping (BEAM) to evaluate the performance of sensation evoking. The results demonstrated that the TENS applied on wrist areas with proper parameters could stably induce multiple types of intuitive sensations of different fingers, including touching, vibrating, and flapping, and the mapping relationship between stimulation modality and sensory feedback were objectively verified and evaluated with EEG. This pilot study might provide a support for future researches on restoration of sensory paths and feedback for upper-limb amputees.
AB - Protheses are very useful for limb amputees to restore their lost motor functions. However, most commercially available prostheses lack an intuitive and natural sensory feedback function, which may strongly limit the performance of prosthetic control and lowers the acceptance of amputees. As a non-invasive stimulation method, Transcutaneous Electrical Nerve Stimulation (TENS) has been proven to effectively evoke intuitive and natural sensations, which is practical for upper-limb amputees in clinical applications. In this paper, we explored the relationship between TENS modalities and induced sensory information based on able-bodied subjects by using electroencephalogram (EEG). We computed the Event-related Potential (ERP) and Brain Electrical Activity Mapping (BEAM) to evaluate the performance of sensation evoking. The results demonstrated that the TENS applied on wrist areas with proper parameters could stably induce multiple types of intuitive sensations of different fingers, including touching, vibrating, and flapping, and the mapping relationship between stimulation modality and sensory feedback were objectively verified and evaluated with EEG. This pilot study might provide a support for future researches on restoration of sensory paths and feedback for upper-limb amputees.
UR - http://www.scopus.com/inward/record.url?scp=85173602898&partnerID=8YFLogxK
U2 - 10.1109/RCAR58764.2023.10249290
DO - 10.1109/RCAR58764.2023.10249290
M3 - 会议稿件
AN - SCOPUS:85173602898
T3 - Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
SP - 417
EP - 422
BT - Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 July 2023 through 20 July 2023
ER -