Haptic/VR Assessment Tool for Fine Motor Control

被引:0
|
作者
Emery, Christophe [1 ]
Samur, Evren [1 ]
Lambercy, Olivier [2 ]
Bleuler, Hannes [1 ]
Gassert, Roger [2 ]
机构
[1] Ecole Polytech Fed Lausanne, Robot Syst Lab, CH-1015 Lausanne, Switzerland
[2] Swiss Fed Inst Technol, Rehabilitat Engn Lab, Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
haptics; virtual reality; clinical; assessment; dexterity; FINGER DEXTERITY; ADULT NORMS; PEG TEST;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Nine Hole Peg Test (NHPT) is routinely used in clinical environments to evaluate a patient's fine hand control. A physician measures the total time required to insert nine pegs into nine holes and obtains information on the dexterity of the patient. Even though this method is simple and known to be reliable, using a virtual environment with haptic feedback instead of the classical device could give a more complete diagnosis which would isolate different constituting components of a pathology and objectively assess motor ability. Haptic devices enable extracting a large quantity of information by recording the position and the exerted forces at high frequency (1kHz). In addition to the creation of a realistic virtual counterpart of the NHPT, the present work also includes the implementation of real-time data analysis in order to extract meaningful and objective scores for the physician and the patient. A healthy group of volunteers performed the real and virtual tests which yielded a baseline for the scores of the different measured mobility parameters. Once calibrated, the virtual test successfully discriminates different mobility dysfunctions simulated by a healthy subject.
引用
收藏
页码:186 / +
页数:2
相关论文
共 50 条
  • [21] Development and validation of a fine-motor assessment tool for use with young children in a Chinese population
    Siu, Andrew M. H.
    Lai, Cynthia Y. Y.
    Chiu, Amy S. M.
    Yip, Calvin C. K.
    RESEARCH IN DEVELOPMENTAL DISABILITIES, 2011, 32 (01) : 107 - 114
  • [22] Haptic Feedback, Performance and Arousal: A Comparison Study in an Immersive VR Motor Skill Training Task
    Radhakrishnan, Unnikrishnan
    Kuang, Lisheng
    Koumaditis, Konstantinos
    Chinello, Francesco
    Pacchierotti, Claudio
    IEEE TRANSACTIONS ON HAPTICS, 2024, 17 (02) : 249 - 262
  • [23] Design of a Haptic Virtual System for Improving Fine Motor Skills in Children with Autism
    Zhao, Huan
    Zheng, Zhaobo
    Swanson, Amy
    Weitlauf, Amy
    Warren, Zachary
    Sarkar, Nilanjan
    ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION, 2018, 592 : 204 - 216
  • [24] Effects of the torque model on the control of a VR spherical motor
    Lee, KM
    Sosseh, RA
    Wei, ZY
    CONTROL ENGINEERING PRACTICE, 2004, 12 (11) : 1437 - 1449
  • [25] ReGrasp, a Robotic Tool to Investigate Fine Motor Control and Track Therapy-Induced Neuroplasticity
    Duenas, Julio
    Lambercy, Olivier
    Chapuis, Dominique
    Gassert, Roger
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 5084 - 5089
  • [26] Longitudinal assessment of fine motor control: transition from normal control to onset of Parkinson's disease
    Shrairman, R.
    O'Brien, C.
    Landau, A.
    PARKINSONISM & RELATED DISORDERS, 2009, 15 : S70 - S71
  • [27] ABNORMALITIES OF FINE MOTOR CONTROL IN SCHIZOPHRENIA
    VRTUNSKI, PB
    SIMPSON, DM
    WEISS, KM
    DAVIS, GC
    PSYCHIATRY RESEARCH, 1986, 18 (03) : 275 - 284
  • [28] Analysis tool of skills' acquisition in fine motor skill
    Lopes, R. D.
    Castro, S.
    Ponces, M. J.
    Ramos, N.
    Vaz, M.
    BIODENTAL ENGINEERING V, 2019, : 25 - 26
  • [29] Haptic Performance Using Voltage-Mode Motor Control
    Juan Gil, Jorge
    Diaz, Inaki
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (01) : 698 - 705
  • [30] fMRI compatible haptic interfaces to investigate human motor control
    Burdet, E
    Gassert, R
    Gowrishankar, G
    Chapuis, D
    Bleuler, H
    EXPERIMENTAL ROBOTICS IX, 2006, 21 : 25 - +