JRM Vol.25 No.6 pp. 983-991
doi: 10.20965/jrm.2013.p0983


Quantitative Evaluation of Shoulder Joint Function to Reproduce Results of Clinical Tests by Therapist

Noritaka Sato*, Keita Kamada*, Yuki Hiramatsu*,
Kazunori Yamazaki*, Yoshifumi Morita*, Hiroyuki Ukai*,
Kenji Komori**, and Shinya Taguchi**

*Nagoya Institute of Technology, Gokiso-cho, Syowa-ku, Nagoya, Aichi, Japan

**Hokuto Hospital, 17-33 Kawagoe, Niki-cho, Okazaki, Aichi, Japan

May 10, 2013
November 3, 2013
December 20, 2013
rehabilitation, upper limb, shoulder joint function, quantitative evaluation system
The final aim of this research is to develop a quantitative evaluation system of shoulder joint function using a three-dimensional force display robot. In this paper, we proposed quantitative evaluation methods by which the results equivalent to the results of tests by a therapist can be obtained. The quantitative evaluation methods can be installed in the robot. We focus on two shoulder joint functions. One is stability and the other is cooperativeness. Two experiments were carried out to develop quantitative evaluation methods of shoulder joint function. In the experiments, subject’s forces were measured during the tests by the therapist. On the basis of the experimental results, we proposed a stability evaluation method using a regression equation of glenohumeral joint instability from the ratios between the right and the left subject’s force in the initial position during abduction, external rotation and horizontal abduction motion. Moreover, we proposed a cooperativeness evaluation method by detecting two thresholds related to sustainability of subject’s force.
Cite this article as:
N. Sato, K. Kamada, Y. Hiramatsu, K. Yamazaki, Y. Morita, H. Ukai, K. Komori, and S. Taguchi, “Quantitative Evaluation of Shoulder Joint Function to Reproduce Results of Clinical Tests by Therapist,” J. Robot. Mechatron., Vol.25 No.6, pp. 983-991, 2013.
Data files:
  1. [1] H. Mochizumi, “Impairments and their Assessment in Stroke Patients,” Rigakuryoho Kagaku, Vol.22, No.1, pp. 33-38, 2007 (in Japanese).
  2. [2] B. A. Goldberg, M. M. Scarlat et al., “Management of the stiff shoulder,” J. of Orthopaedic Science, pp. 462-471, 1999.
  3. [3] T. Noritsugu and T. Tanaka, “Application of Rubber Artificial Muscle Manipulator as a Rehabilitation Robot,” IEEE/ASME Trans. on Mechatronics, Vol.2, No.4, pp. 259-267, 1997.
  4. [4] Y. Yamaji, N. Yoshii et al., “Realization of Rehabilitation by Virtual Tennis : Effects of Tennis on Rehabilitation,” Proc. of Nippon Kikai Gakkai Robotikusu, Mekatoronikusu Koenkai Koen Ronbunshu, p. 26, 2001 (in Japanese).
  5. [5] T. Ozawa, J. Furusho et al., “Development of Rehabilitation System for Upper Limbs; PLEMO-P3 System for Hemiplegic Subject: Motor Function Test for Assessment and Training, and Research for Development of Practical Type(Mechanical Systems),” Trans. of the Japan Society of Mechanical Engineers, C, Vol.76, No.762, pp. 323-330, 2010 (in Japanese).
  6. [6] Y. Morita, K. Akagawa et al., “Basic Study on Rehabilitation Support System for Upper Limb Motor Function,” Proc. of 7th Int. Workshop on Advanced Motion Control, pp. 408-413, 2002.
  7. [7] M. Yasukita, Y. Iida et al., “Evaluation of Simplified Repeated Resistance Training System for Severe Hemiplegic Stroke Patient,” Proc. of Int. Conf. on Control, Automation and Systems 2012, pp. 1566-1569, 2012.
  8. [8] K. Kamada, Y Hiramatsu et al., “Quantitative Evaluation of Shoulder Joint Function Using Movement and Muscle Force of Upper Limb – Study on Quantitative Evaluation Method Based on Analysis of Therapist Motions during Tests –,” Proc. of The Robotics and Mechatronics Conf. 2013, 1A1-D02, 2013 (in Japanese).

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Mar. 01, 2024