TY - GEN
T1 - Design of a Practical System Based on Muscle Synergy Analysis and FES Rehabilitation for Stroke Patients
AU - Cao, Ruikai
AU - Sheng, Yixuan
AU - Zeng, Jia
AU - Liu, Honghai
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In the diagnosis and rehabilitation of motor function for stroke patients, the combination of motor function assessment based on Muscle Synergy Analysis (MSA) and rehabilitation using Functional Electrical Stimulation (FES) is a new strategy, which has been validated its feasibility and superiority in clinical rehabilitation. However, it is difficult to be extended to a larger patient population because of low equipment integration, high cost, and complicated operation. This paper designed a hardware and software integrated system for MSA and FES, to achieve functional integration, portability, and simplicity of operation. The hardware system implements multi-channel sEMG acquisition and FES. The software system achieves device control, data processing, and algorithm analysis with a simple and clear user interface. The functions of the system were preliminarily validated by the data of healthy people. This system solves the current problems of equipment function separation and complicated data processing. It realizes the integration of diagnosis and rehabilitation processes, and helps to promote the further development and application of stroke intelligent rehabilitation system.
AB - In the diagnosis and rehabilitation of motor function for stroke patients, the combination of motor function assessment based on Muscle Synergy Analysis (MSA) and rehabilitation using Functional Electrical Stimulation (FES) is a new strategy, which has been validated its feasibility and superiority in clinical rehabilitation. However, it is difficult to be extended to a larger patient population because of low equipment integration, high cost, and complicated operation. This paper designed a hardware and software integrated system for MSA and FES, to achieve functional integration, portability, and simplicity of operation. The hardware system implements multi-channel sEMG acquisition and FES. The software system achieves device control, data processing, and algorithm analysis with a simple and clear user interface. The functions of the system were preliminarily validated by the data of healthy people. This system solves the current problems of equipment function separation and complicated data processing. It realizes the integration of diagnosis and rehabilitation processes, and helps to promote the further development and application of stroke intelligent rehabilitation system.
KW - Functional electrical stimulation
KW - Muscle synergy analysis
KW - Rehabilitation system
KW - Stroke
UR - https://www.scopus.com/pages/publications/85136111404
U2 - 10.1007/978-3-031-13822-5_23
DO - 10.1007/978-3-031-13822-5_23
M3 - 会议稿件
AN - SCOPUS:85136111404
SN - 9783031138218
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 257
EP - 268
BT - Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
A2 - Liu, Honghai
A2 - Ren, Weihong
A2 - Yin, Zhouping
A2 - Liu, Lianqing
A2 - Jiang, Li
A2 - Gu, Guoying
A2 - Wu, Xinyu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Y2 - 1 August 2022 through 3 August 2022
ER -