A real-time system for biomechanical analysis of human movement and muscle function

被引:258
|
作者
van den Bogert, Antonie J. [1 ,2 ]
Geijtenbeek, Thomas [3 ]
Even-Zohar, Oshri [3 ]
Steenbrink, Frans [3 ]
Hardin, Elizabeth C. [4 ]
机构
[1] Cleveland State Univ, Dept Mech Engn, Cleveland, OH 44115 USA
[2] Orchard Kinet LLC, Cleveland, OH 44106 USA
[3] Motek Med BV, NL-1101 GE Amsterdam, Netherlands
[4] Cleveland VA Med Ctr, Cleveland, OH 44106 USA
关键词
Gait; Movement analysis; Biomechanics; Real-time; Virtual reality; MUSCULOSKELETAL MODEL; DYNAMIC SIMULATIONS; LOWER-EXTREMITY; HUMAN WALKING; GAIT; OPTIMIZATION; RECRUITMENT; CRITERION; FORCES; MOMENT;
D O I
10.1007/s11517-013-1076-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Mechanical analysis of movement plays an important role in clinical management of neurological and orthopedic conditions. There has been increasing interest in performing movement analysis in real-time, to provide immediate feedback to both therapist and patient. However, such work to date has been limited to single-joint kinematics and kinetics. Here we present a software system, named human body model (HBM), to compute joint kinematics and kinetics for a full body model with 44 degrees of freedom, in real-time, and to estimate length changes and forces in 300 muscle elements. HBM was used to analyze lower extremity function during gait in 12 able-bodied subjects. Processing speed exceeded 120 samples per second on standard PC hardware. Joint angles and moments were consistent within the group, and consistent with other studies in the literature. Estimated muscle force patterns were consistent among subjects and agreed qualitatively with electromyography, to the extent that can be expected from a biomechanical model. The real-time analysis was integrated into the D-Flow system for development of custom real-time feedback applications and into the gait real-time analysis interactive lab system for gait analysis and gait retraining.
引用
收藏
页码:1069 / 1077
页数:9
相关论文
共 50 条
  • [1] A real-time system for biomechanical analysis of human movement and muscle function
    Antonie J. van den Bogert
    Thomas Geijtenbeek
    Oshri Even-Zohar
    Frans Steenbrink
    Elizabeth C. Hardin
    Medical & Biological Engineering & Computing, 2013, 51 : 1069 - 1077
  • [2] Evaluation Of A System For Real-Time Analysis Of Muscle Function: Shoulder And Elbow Muscles
    van den Bogert, Antome J.
    Geijtenbeek, Thomas
    Even-Zohar, Oshri
    2009 VIRTUAL REHABILITATION INTERNATIONAL CONFERENCE, 2009, : 222 - 222
  • [3] A real-time human movement transfer system for an omnidirectional display
    Sakamoto, Naohisa
    Yasuhara, Yukio
    Kukimoto, Nobuyuki
    Ebara, Yasuo
    Koyamada, Koji
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS, 2007, 90 (12): : 77 - 86
  • [4] A Cycling Movement Based System for Real-Time Muscle Fatigue and Cardiac Stress Monitoring and Analysis
    Chen, Szi-Wen
    Liaw, Jiunn-Woei
    Chang, Ya-Ju
    Chan, Hsiao-Lung
    Chiu, Li-Yu
    PLOS ONE, 2015, 10 (06):
  • [5] Prediction of human movement in real-time
    Bai, O
    Apanius, M
    Vorbach, S
    Dold, G
    Hallett, M
    NEUROLOGY, 2005, 64 (06) : A214 - A214
  • [6] REAL-TIME SYSTEM FOR HUMAN ACTIVITY ANALYSIS
    Tan, Randy
    Khan, Naimul
    Guan, Ling
    2017 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM), 2017, : 420 - 425
  • [7] Real-Time People Counting System for Customer Movement Analysis
    Cho, Sung In
    Kang, Suk-Ju
    IEEE ACCESS, 2018, 6 : 55264 - 55272
  • [8] A real-time biomechanical feedback system for training rowers
    P. N. Page
    D. A. Hawkins
    Sports Engineering, 2003, 6 (2) : 67 - 79
  • [9] Real time imaging system applied to human movement analysis
    Paindavoine, M
    Dolard, D
    Grapin, JC
    ADVANCED SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES,AND IMPLEMENTATIONS IX, 1999, 3807 : 150 - 156
  • [10] A Real-Time Embedded System for Human Gait Analysis
    Chien, Yen Wen
    Chiu, Ching-Te
    Wu, I-Zan
    2015 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS 2015), 2015,