Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot

Tong Wang; Jianjun Wei; Chunbao Wang; Quanquan Liu; Zhixian Mao; Lihong Duan; Wanfeng Shang; Yajing Shen; Zhuohua Lin; Zhengzhi Wu

doi:10.1109/ARSO46408.2019.8948805

Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot

Tong Wang
, Jianjun Wei
, Chunbao Wang^*
, Quanquan Liu
, Zhixian Mao
, Lihong Duan
, Wanfeng Shang
, Yajing Shen
, Zhuohua Lin
, Zhengzhi Wu

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

At present, in the China, the incidence of stroke hemiplegia in the elderly population is relatively high and still on the rise. Therefore, rehabilitation treatment for hemiplegia in the elderly is particularly important. However, the traditional rehabilitation treatment focuses on the functional training of the patient's wrist and finger joints, ignoring the importance of neurological rehabilitation in the early hemiplegia stage. In this paper, On the basis of the traditional rehabilitation of finger movement function, we added the rehabilitation training of wrist joint. a new type of wrist and knuckle rehabilitation robot is proposed, The finger bending angle detection system and the FES(Functional Electrical Stimulation) system are built. The bending angle data detected by the bending angle data glove is used to control the FES functional power of the other finger. The bending Angle data of the fingers on the healthy side were detected by using the bending Angle data glove. To control the stimulation intensity of the FES functional electrical stimulation device of the finger on the affected side, So as to control the intensity of muscle contraction and the Angle of finger bending.

Original language	English
Title of host publication	2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)
Publisher	IEEE
Pages	375-380
ISBN (Electronic)	9781728131764
ISBN (Print)	9781728131771
DOIs	https://doi.org/10.1109/ARSO46408.2019.8948805
Publication status	Published - Oct 2019
Event	15th IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2019) - Beijing, China Duration: 31 Oct 2019 → 2 Nov 2019

Publication series

Name	Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Volume	2019-October
ISSN (Print)	2162-7568
ISSN (Electronic)	2162-7576

Conference

Conference	15th IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2019)
Abbreviated title	ARSO 2019
Place	China
City	Beijing
Period	31/10/19 → 2/11/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ARSO46408.2019.8948805

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Wang, T., Wei, J., Wang, C., Liu, Q., Mao, Z., Duan, L., Shang, W., Shen, Y., Lin, Z., & Wu, Z. (2019). Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot. In 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) (pp. 375-380). Article 8948805 (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO; Vol. 2019-October). IEEE. https://doi.org/10.1109/ARSO46408.2019.8948805

@inproceedings{5d132aca58d640bb8d3d53081482cf67,

title = "Design of Finger Bending Angle Detection System and FES System Based on Finger \& Wrist Rehabilitation Robot",

abstract = "At present, in the China, the incidence of stroke hemiplegia in the elderly population is relatively high and still on the rise. Therefore, rehabilitation treatment for hemiplegia in the elderly is particularly important. However, the traditional rehabilitation treatment focuses on the functional training of the patient's wrist and finger joints, ignoring the importance of neurological rehabilitation in the early hemiplegia stage. In this paper, On the basis of the traditional rehabilitation of finger movement function, we added the rehabilitation training of wrist joint. a new type of wrist and knuckle rehabilitation robot is proposed, The finger bending angle detection system and the FES(Functional Electrical Stimulation) system are built. The bending angle data detected by the bending angle data glove is used to control the FES functional power of the other finger. The bending Angle data of the fingers on the healthy side were detected by using the bending Angle data glove. To control the stimulation intensity of the FES functional electrical stimulation device of the finger on the affected side, So as to control the intensity of muscle contraction and the Angle of finger bending.",

author = "Tong Wang and Jianjun Wei and Chunbao Wang and Quanquan Liu and Zhixian Mao and Lihong Duan and Wanfeng Shang and Yajing Shen and Zhuohua Lin and Zhengzhi Wu",

year = "2019",

month = oct,

doi = "10.1109/ARSO46408.2019.8948805",

language = "English",

isbn = "9781728131771",

series = "Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO",

publisher = "IEEE",

pages = "375--380",

booktitle = "2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)",

address = "United States",

note = "15th IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2019), ARSO 2019 ; Conference date: 31-10-2019 Through 02-11-2019",

}

Wang, T, Wei, J, Wang, C, Liu, Q, Mao, Z, Duan, L, Shang, W, Shen, Y, Lin, Z & Wu, Z 2019, Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot. in 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)., 8948805, Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO, vol. 2019-October, IEEE, pp. 375-380, 15th IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2019), Beijing, China, 31/10/19. https://doi.org/10.1109/ARSO46408.2019.8948805

Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot. / Wang, Tong; Wei, Jianjun; Wang, Chunbao et al.
2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO). IEEE, 2019. p. 375-380 8948805 (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO; Vol. 2019-October).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot

AU - Wang, Tong

AU - Wei, Jianjun

AU - Wang, Chunbao

AU - Liu, Quanquan

AU - Mao, Zhixian

AU - Duan, Lihong

AU - Shang, Wanfeng

AU - Shen, Yajing

AU - Lin, Zhuohua

AU - Wu, Zhengzhi

PY - 2019/10

Y1 - 2019/10

N2 - At present, in the China, the incidence of stroke hemiplegia in the elderly population is relatively high and still on the rise. Therefore, rehabilitation treatment for hemiplegia in the elderly is particularly important. However, the traditional rehabilitation treatment focuses on the functional training of the patient's wrist and finger joints, ignoring the importance of neurological rehabilitation in the early hemiplegia stage. In this paper, On the basis of the traditional rehabilitation of finger movement function, we added the rehabilitation training of wrist joint. a new type of wrist and knuckle rehabilitation robot is proposed, The finger bending angle detection system and the FES(Functional Electrical Stimulation) system are built. The bending angle data detected by the bending angle data glove is used to control the FES functional power of the other finger. The bending Angle data of the fingers on the healthy side were detected by using the bending Angle data glove. To control the stimulation intensity of the FES functional electrical stimulation device of the finger on the affected side, So as to control the intensity of muscle contraction and the Angle of finger bending.

AB - At present, in the China, the incidence of stroke hemiplegia in the elderly population is relatively high and still on the rise. Therefore, rehabilitation treatment for hemiplegia in the elderly is particularly important. However, the traditional rehabilitation treatment focuses on the functional training of the patient's wrist and finger joints, ignoring the importance of neurological rehabilitation in the early hemiplegia stage. In this paper, On the basis of the traditional rehabilitation of finger movement function, we added the rehabilitation training of wrist joint. a new type of wrist and knuckle rehabilitation robot is proposed, The finger bending angle detection system and the FES(Functional Electrical Stimulation) system are built. The bending angle data detected by the bending angle data glove is used to control the FES functional power of the other finger. The bending Angle data of the fingers on the healthy side were detected by using the bending Angle data glove. To control the stimulation intensity of the FES functional electrical stimulation device of the finger on the affected side, So as to control the intensity of muscle contraction and the Angle of finger bending.

UR - https://www.scopus.com/pages/publications/85078345745

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85078345745&origin=recordpage

U2 - 10.1109/ARSO46408.2019.8948805

DO - 10.1109/ARSO46408.2019.8948805

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781728131771

T3 - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO

SP - 375

EP - 380

BT - 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)

PB - IEEE

T2 - 15th IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2019)

Y2 - 31 October 2019 through 2 November 2019

ER -

Wang T, Wei J, Wang C, Liu Q, Mao Z, Duan L et al. Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot. In 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO). IEEE. 2019. p. 375-380. 8948805. (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO). doi: 10.1109/ARSO46408.2019.8948805

Design of Finger Bending Angle Detection System and FES System Based on Finger & Wrist Rehabilitation Robot

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