The Upper Limb Motion Deviation Index: A new comprehensive index of upper limb motion pathology

被引:17
|
作者
Jurkojc, Jacek [1 ]
Wodarski, Piotr [1 ]
Michnik, Robert [1 ]
Nowakowska, Katarzyna [1 ]
Bieniek, Andrzej [1 ]
Gzik, Marek [1 ]
机构
[1] Silesian Tech Univ, Fac Biomed Engn, Dept Biomechatron, Zabrze, Poland
关键词
upper limb motion pathology; ULMDI; gait deviation index; GILLETTE GAIT INDEX; CEREBRAL-PALSY; PROFILE SCORE; GRASP CYCLE; ELBOW JOINT; MOVEMENT; PARAMETERS; DISORDERS; FREQUENCY; AMPLITUDE;
D O I
10.5277/ABB-00698-2016-02
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Purpose: The aim of the research was to formulate a new index enabling assessment of the overall pathology of the upper limb movement. It defines the difference between the pathological movement and a normal movement pattern. Methods: Methodology of determining the index is based on a mathematical algorithm for calculating the Gait Deviation Index which is based on advanced methods of image comparison. To calculate the ULMDI index, one must divide the analyzed movement into cycles appropriate to the nature of the movement (similarly in gait it is the gait cycle) and then determine kinematic quantities (courses of joint angles). Results: A group of 23 healthy people (10 women: k1-k10 and 13 men: m1-m13) as the reference group and a group of 3 persons with mobility impairments (p1-p3) took part in the research. Time values of the angles of the joints on both upper limbs were registered and then ULMDI indexes were calculated. Conclusions: It has been shown that the developed ULMDI index allows to detect the deviations from the accepted norm in the performance of movements. The results showed that both the description of the motor dysfunction of examined person based on the diagnosis of the physician, a detailed analysis of kinematic waveforms received during the tests and the calculated values provide a coherent picture of the state of a human movement. The index analysis is less time-consuming for the doctor, and the comparison of the results at various stages of therapy gives an objective picture of the rehabilitation progress.
引用
收藏
页码:175 / 185
页数:11
相关论文
共 50 条
  • [31] Motion capture sensing techniques used in human upper limb motion: a review
    Yahya, Muhammad
    Shah, Jawad Ali
    Kadir, Kushsairy Abdul
    Yusof, Zulkhairi M.
    Khan, Sheroz
    Warsi, Arif
    [J]. SENSOR REVIEW, 2019, 39 (04) : 504 - 511
  • [32] Evaluation of human upper limb motion comfort based on motion capture system
    Tao Qing
    Li Zhao-bo
    Kang Jinsheng
    [J]. 2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18), 2018, : 117 - 122
  • [33] PREDICTION OF MUSCULAR FORCE SHARING IN A HUMAN UPPER LIMB AND DETERMINATION OF OPTIMAL LIMB MOTION
    YOSHIMURA, M
    MASUI, H
    [J]. JSME INTERNATIONAL JOURNAL SERIES III-VIBRATION CONTROL ENGINEERING ENGINEERING FOR INDUSTRY, 1992, 35 (04): : 574 - 581
  • [34] Selection of Kinematic and Temporal Input Parameters to Define a Novel Upper Body Index Indicator for the Evaluation of Upper Limb Pathology
    Guzik-Kopyto, Agata
    Nowakowska-Lipiec, Katarzyna
    Krysiak, Mikolaj
    Jochymczyk-Wozniak, Katarzyna
    Jurkojc, Jacek
    Wodarski, Piotr
    Gzik, Marek
    Michnik, Robert
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (22):
  • [35] Implications of low mechanical impedance in upper limb reaching motion
    Popescu, FC
    Rymer, WZ
    [J]. MOTOR CONTROL, 2003, 7 (04) : 323 - 327
  • [36] Upper Limb Motion Intent Recognition Using Tactile Sensing
    Stefanou, T.
    Turton, A.
    Lenz, A.
    Dogramadzi, S.
    [J]. 2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2017, : 6601 - 6608
  • [37] Muscle Synergy Analysis for Similar Upper Limb Motion Tasks
    Tang, Lu
    Li, Fei
    Cao, Shuai
    Zhang, Xu
    Chen, Xiang
    [J]. 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 3590 - 3593
  • [38] Analysis of Stable sEMG Features for Bilateral Upper Limb Motion
    Yu, Yangbo
    Jiang, Hongze
    Zhou, Yu
    Liu, Honghai
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 1945 - 1950
  • [39] Development of gait rehabilitation robot driven by upper limb motion
    Novandy, Bondhan
    Yoon, Jung-Won
    [J]. 2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6, 2007, : 1222 - +
  • [40] Upper Limb Motion Simulation Algorithm for Prosthesis Prescription and Training
    Menychtas, Dimitrios
    Carey, Stephanie L.
    Alqasemi, Redwan
    Dubey, Rajiv V.
    [J]. 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 6495 - 6501