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Development of an integrated digital hand grip dynamometer and norm of hand grip strength

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Chang, Hoa; * | Chen, Chih-Haob; c; * | Huang, Tung-Sunb | Tai, Chun-Yena

Affiliations: [a] Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei 10608, Taiwan | [b] Department of Thoracic Surgery, Mackay Memorial Hospital, Taipei10449, Taiwan | [c] Department of Medicine, Mackay Medical College, New Taipei City 25160, Taiwan

Correspondence: [*] Address for correspondence: Ho Chang, Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei 10608, Taiwan. Tel.: +886227712171; Fax: +886227764889; E-mail: [email protected]. Chih-Hao Chen, Department of Thoracic Surgery, Mackay Memorial Hospital, Taipei10449, Taiwan. Tel.: +88622543-3535; Fax: +886225232448; E-mail: [email protected].

Keywords: Hand grip dynamometer, load cell, norm of hand grip strength

DOI: 10.3233/BME-151352

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S611-S617, 2015

Published: 2015
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This study designs and fabricates a novel integrated digital hand grip dynamometer and analyzes collected grip strength data. The dynamometer directly stores collected data in a computer, unlike those on the market that cannot directly store information. A strain gauge load cell is used as a force sensor. The dynamometer is designed to maximize ergonomics. Excitation voltage of the load cell is 5 V, and a 9 V battery supplies power to its circuit. The signal receiver is National Instruments (NI) data acquisition (DAQ) card that transmits signals to the computer. The operation system is designed using LabView. This study assesses the correlation between variables of collected data. The correlation coefficients for height, weight and palm length were 0.793, 0.609 and 0.715, respectively, indicating that variables were moderately to strongly correlate with grip strength.

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