Development of a Network FES System for Stroke Rehabilitation

被引:0
|
作者
Qu, Hongen [1 ]
Wang, Ting [1 ]
Hao, Manzhao [1 ]
Shi, Ping [1 ]
Zhang, Weifeng [2 ]
Wang, Guoxing [2 ]
Lan, Ning [1 ]
机构
[1] Shanghai Jiao Tong Univ, Med X Res Inst, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Microelect, Shanghai 200030, Peoples R China
关键词
FES; body area network; wearable devices; stoke; neural rehabilitatio; FUNCTIONAL ELECTRICAL-STIMULATION; UPPER EXTREMITY; RECOVERY;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper describes a Functional Electrical Stimulation (FES) system based on the distributed network structure for rehabilitation of stroke patients. This FES system performs surface stimulation to activate the nerve of paretic muscles for training stroke patients to relearn motor functions. The main components of the networked FES system include a master unit (MU), a distributed stimulation-sensor unit (DSSU), and a clinical computer. In this system, the MU can drive a set of DSSUs, which is located at the node on the distributed network structure. The MU also stores the stimulation plan of rehabilitation training prescribed by clinicians. The DSSU serves as a single channel stimulator whose current amplitude, duration and frequency can be modulated by the MU. This system has two distinctive characters. First, since a stimulator is designed as a node on the network, the number of stimulation channels could be expanded according to specific needs. Second, a sensor component can be incorporated in the DSSU to allow monitoring physiological variables. The two features of system design make the networked FES system practical and flexible in clinical applications. We have completed a prototype of system including hardware and software. The evaluation test indicates that the system performance meets design specifications.
引用
收藏
页码:3119 / 3122
页数:4
相关论文
共 50 条
  • [1] Development of the FES system with neural network plus PID controller for the stroke
    Chen, YL
    Chen, WL
    Hsiao, CC
    Kuo, IS
    Lai, JS
    2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, : 5119 - 5121
  • [2] Application of BCI-FES System on Stroke Rehabilitation
    Jiang, Shenglong
    Chen, Long
    Wang, Zhongpeng
    Xu, Jiapeng
    Qi, Cheng
    Qi, Hongzhi
    He, Feng
    Ming, Dong
    2015 7TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2015, : 1112 - 1115
  • [3] BCI-FES system for neuro-rehabilitation of stroke patients
    Jure, Fabricio A.
    Carrere, Lucia C.
    Gentiletti, Gerardo G.
    Tabernig, Carolina B.
    20TH ARGENTINEAN BIOENGINEERING SOCIETY CONGRESS (XX ARGENTINE BIOENGINEERING CONGRESS AND IX CONFERENCE OF CLINICAL ENGINEERING), (SABI 2015), 2016, 705
  • [4] Development of a Novel Gait Rehabilitation System Based on FES and Treadmill-Walk for Convalescent Hemiplegic Stroke Survivors
    Ye, Jing
    Nakashima, Yasutaka
    Watanabe, Takao
    Seki, Masatoshi
    Zhang, Bo
    Liu, Quanquan
    Yokoo, Yuki
    Kobayashi, Yo
    Cao, Qixin
    Fujie, Masakatsu G.
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 977 - 982
  • [5] Development of an Aesthetic for a Stroke Rehabilitation System
    Galina, G. M.
    Mihaleva, Galina
    Fok-Chi-Seng, F. K.
    Kow, Fok
    IWSC'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, 2021, : 199 - 202
  • [6] BCI-FES training system design and implementation for rehabilitation of stroke patients
    Meng, Fei
    Tong, Kai-yu
    Chan, Suk-tak
    Wong, Wan-wa
    Lui, Ka-him
    Tang, Kwok-wing
    Gao, Xiaorong
    Gao, Shangkai
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 4103 - +
  • [7] Electroencephalogram (EEG) and functional electrical stimulation (FES) system for rehabilitation of stroke patients
    Takahashi, Mitsuru
    Gouko, Manabu
    Ito, Koji
    PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, 2008, : 53 - 58
  • [8] Design of a Practical System Based on Muscle Synergy Analysis and FES Rehabilitation for Stroke Patients
    Cao, Ruikai
    Sheng, Yixuan
    Zeng, Jia
    Liu, Honghai
    INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2022), PT II, 2022, 13456 : 257 - 268
  • [9] Design of a programmable flyback based FES system for restoring foot drop in stroke rehabilitation
    Subramanya, K.
    Kumar, Ajithanjaya M. K.
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [10] Development of network-based multichannel neuromuscular electrical stimulation system for stroke rehabilitation
    Qu, Hongen
    Xie, Yongji
    Liu, Xiaoxuan
    He, Xin
    Hao, Manzhao
    Bao, Yong
    Xie, Qing
    Lan, Ning
    JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2016, 53 (02): : 263 - 278