A Gait Retraining Feedback System Based on Wearable Sensors

被引:0
|
作者
He, Zexia [1 ]
Shen, Yang [1 ]
Liu, Tao [1 ]
Yi, Jingang [2 ]
Ferreira, Jodo Paulo [3 ]
机构
[1] Zhejiang Univ, Coll Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[2] Rutgers State Univ, Dept Mech & Aerosp Engn, Piscataway, NJ 08854 USA
[3] Univ Coimbra, Dept Elect & Comp Engn, P-3030290 Coimbra, Portugal
关键词
KNEE ADDUCTION MOMENT; OSTEOARTHRITIS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The purpose of this study is to develop a gait retraining feedback system based on wearable sensors for the gait training and the recovery of knee osteoarthritis patients. The system is mainly composed of one motion sensor, six plantar pressure sensors, vibrator and upper computer. The foot progression angle of subject measured by the motion sensor was transmitted to a upper computer through a WIFI module. The judgment for foot progression angle by PC was then sent to the motion sensor for the feedback of gait retraining by a vibrator. In order to validate the training effect of the system, walking experiments of simulated patients was conducted. The results show that the gait retraining system can have a effective influence on the gait in real time and can be used to train the walking gait to reduce the knee adduction moment.
引用
收藏
页码:1029 / 1034
页数:6
相关论文
共 50 条
  • [41] Prediction of human gait activities using wearable sensors
    Halim, Ahmed
    Abdellatif, A.
    Awad, Mohammed, I
    Atia, Mostafa R. A.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2021, 235 (06) : 676 - 687
  • [42] Wearable sensors for gait pattern examination in glaucoma patients
    Ma, Yuchao
    Amini, Navid
    Ghasemzadeh, Hassan
    MICROPROCESSORS AND MICROSYSTEMS, 2016, 46 : 67 - 74
  • [43] Wearable Gait Sensors to Measure Degenerative Cerebellar Ataxia
    Sakakibara, R.
    Terayama, K.
    Akihiro, O.
    Haruta, H.
    Akiba, T.
    Tateno, F.
    Kishi, M.
    Tsuyusaki, Y.
    Aiba, Y.
    Ogata, T.
    MOVEMENT DISORDERS, 2017, 32
  • [44] Gait Recognition Using Wearable Motion Recording Sensors
    Davrondzhon Gafurov
    Einar Snekkenes
    EURASIP Journal on Advances in Signal Processing, 2009
  • [45] Wearable gait sensors to measure degenerative cerebellar ataxia
    Sakakibara, R.
    Terayama, K.
    Ogawa, A.
    Haruta, H.
    Akiba, T.
    Tateno, F.
    Kishi, M.
    Tsuyusaki, Y.
    Aiba, Y.
    Ogata, T.
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2017, 381 : 56 - 57
  • [46] Gait Retraining Altering the Fingerprint of Gait
    Davis, Irene S.
    Futrell, Erin
    PHYSICAL MEDICINE AND REHABILITATION CLINICS OF NORTH AMERICA, 2016, 27 (01) : 339 - +
  • [47] Gait, freezing of gait and falls detection using wearable sensors: A systematic review
    Lima, A. L. Silvade
    Evers, L. J. W.
    Hahn, T.
    Bataille, L.
    Hamilton, J. L.
    Little, M. A.
    Bloem, B. R.
    Faber, M. J.
    MOVEMENT DISORDERS, 2017, 32
  • [48] Evaluation of gait characteristics in subjects with locomotive syndrome using wearable gait sensors
    Yuki Saito
    Tomoya Ishida
    Yoshiaki Kataoka
    Ryo Takeda
    Shigeru Tadano
    Teppei Suzuki
    Kentaro Nakamura
    Akimi Nakata
    Satoshi Osuka
    Satoshi Yamada
    Mina Samukawa
    Harukazu Tohyama
    BMC Musculoskeletal Disorders, 23
  • [49] Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors
    Kushioka, Junichi
    Sun, Ruopeng
    Zhang, Wei
    Muaremi, Amir
    Leutheuser, Heike
    Odonkor, Charles A.
    Smuck, Matthew
    SENSORS, 2022, 22 (23)
  • [50] A biofeedback music-sonification system for gait retraining
    Lorenzoni, Valerio
    Maes, Pieter-Jan
    Van den Berghe, Pieter
    De Clercq, Dirk
    de Bie, Tijl
    Leman, Marc
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MOVEMENT AND COMPUTING (MOCO'18), 2018,