Burdea G, Deshpande S, Popescu V, Langrana N, Gomez D, DiPaolo D, Kanter M
Department of Electrical and Computer Engineering, Rutgers, State University of New Jersey, Piscataway 08855-0909, USA.
Stud Health Technol Inform. 1997;39:141-50.
This paper describes recent results of a unified computerized system for hand diagnosis and rehabilitation. Automatic diagnosis data collection and Virtual Reality rehabilitation exercises are the main characteristics of the system. The diagnosis subsystem includes a tactile sensing glove in addition to standard devices such as electronic dynamometer, pinchmeter and goniometer. Three standard rehabilitation exercises were simulated in a Virtual Reality environment, using the WorldToolKit graphics library. The first two exercises (ball squeezing and DigiKey) allow measurement of finger forces exerted during the rehabilitation routine. The third exercise (Peg board) involves the patient's visual-motor coordination. The rehabilitation subsystem uses a VPL DataGlove retrofitted with Rutgers Master (RM-I) and its interface. The exercises involve manipulation of objects with different stiffnesses and geometry. Grasping forces were modeled and fed back using the Rutgers Master worn on patient's hand. Data is gathered in real time from both diagnosis and rehabilitation subsystems. Finger specific forces recorded during rehabilitation exercises allow better diagnosis of the patient impairment. An ORACLE database is used to store and manipulate patients' records. Proof of concept trials were performed in a clinical environment. Some results of patient records analysis are presented in this paper. A new version of the system using an RM II haptic interface is presently under consideration.
本文介绍了一种用于手部诊断与康复的统一计算机系统的近期成果。自动诊断数据收集和虚拟现实康复训练是该系统的主要特点。诊断子系统除了包括电子测力计、捏力计和角度计等标准设备外，还包括一个触觉传感手套。利用WorldToolKit图形库在虚拟现实环境中模拟了三种标准康复训练。前两种训练（捏球和操作数字键）可测量康复训练过程中手指施加的力。第三种训练（钉板训练）涉及患者的视觉运动协调能力。康复子系统使用配备了罗格斯主手（RM-I）及其接口的VPL数据手套。这些训练包括对具有不同刚度和几何形状的物体进行操作。通过患者手上佩戴的罗格斯主手对手部抓握力进行建模并反馈。实时收集来自诊断和康复子系统的数据。康复训练过程中记录的特定手指力量有助于更好地诊断患者的损伤情况。使用ORACLE数据库存储和处理患者记录。在临床环境中进行了概念验证试验。本文展示了一些患者记录分析结果。目前正在考虑使用RM II触觉接口的系统新版本。
