Wearable System for the Gait Assessment in Stroke Patients

被引:1
|
作者
Popovic, Dejan B. [1 ,2 ]
Topalovic, Ivan [3 ]
Dedijer-Dujovic, Suzana [4 ]
Konstantinovic, Ljubica [4 ]
机构
[1] Aalborg Univ, Aalborg, Denmark
[2] Serbian Acad Sci & Arts SASA, Belgrade, Serbia
[3] Inst Tech Sci SASA, Belgrade, Serbia
[4] Clin Rehabil Dr Miroslav Zotovic, Belgrade, Serbia
关键词
D O I
10.1007/978-3-030-01845-0_198
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.
引用
收藏
页码:989 / 993
页数:5
相关论文
共 50 条
  • [1] An Easy Wearable Gait Assessment System for Assessing Stroke Patients
    Tseng, Mu-Hsun
    Chen, Tain-Song
    Chang, Ya-Ting
    [J]. 2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020), 2021, : 209 - 211
  • [2] A Wearable Gait Assessment System for Evaluating Post-stroke Patients' Rehabilitation
    Wu, C. Y.
    Chen, Tainsong
    [J]. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2, 2019, 68 (02): : 755 - 759
  • [3] Wearable gait device for stroke gait rehabilitation at home
    Huizenga, David
    Rashford, Lauren
    Darcy, Brianne
    Lundin, Elizabeth
    Medas, Ryan
    Shultz, S. Tyler
    DuBose, Elizabeth
    Reed, Kyle B.
    [J]. TOPICS IN STROKE REHABILITATION, 2021, 28 (06) : 443 - 454
  • [4] Wearable System for Gait Assessment during Physical Rehabilitation Process
    Postolache, Octavian
    Girao, Pedro Silva
    Pereira, Jose M. D.
    Postolache, Gabriela
    [J]. 2015 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2015, : 321 - 326
  • [5] Changes in gait and plantar foot loading upon using vibrotactile wearable biofeedback system in patients with stroke
    Ma, Christina Zong-Hao
    Zheng, Yong-Ping
    Lee, Winson Chiu-Chun
    [J]. TOPICS IN STROKE REHABILITATION, 2018, 25 (01) : 20 - 27
  • [6] A Wearable Inertial Measurement System With Complementary Filter for Gait Analysis of Patients With Stroke or Parkinson's Disease
    Chang, Hsing-Cheng
    Hsu, Yu-Liang
    Yang, Shih-Chin
    Lin, Jung-Chin
    Wu, Zhi-Hao
    [J]. IEEE ACCESS, 2016, 4 : 8442 - 8453
  • [7] A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics
    Farago, Paul
    Grama, Lacrimioara
    Farago, Monica-Adriana
    Hintea, Sorin
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (01): : 1 - 29
  • [8] Wearable Ankle-assist Robot for Enhancing Gait Symmetry of Stroke Patients
    Lee, Hwang-jae
    Lee, Su-hyun
    Kim, Jinuk
    Chang, Won Hyuk
    Ryu, Gyu-ha
    Kim, Yun-hee
    [J]. CEREBROVASCULAR DISEASES, 2020, 49 (SUPPL 1) : 105 - 105
  • [9] Are Wearable Robots Effective for Gait Recovery After Stroke?
    Cirstea, Carmen M.
    [J]. STROKE, 2019, 50 (12) : 3337 - 3338
  • [10] A wearable smartphone-enabled camera-based system for gait assessment
    Kim, Albert
    Kim, Junyoung
    Rietdyk, Shirley
    Ziaie, Babak
    [J]. GAIT & POSTURE, 2015, 42 (02) : 138 - 144