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Using Palpation for Identification and Discrimination of Optimal Points for EMG Harvesting on the Lower Forearm Muscles

Zinvi Fu 1, Ahmad Yusairi Bani Hashim 1, Zamberi Jamaludin 1, and Imran Syakir Mohamad 2
1. Department of Robotics & Automation, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
2. Dept. of Thermal-Fluid, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
Abstract—The calibration process of the EMG input system is often not straightforward because it requires knowledge of muscle anatomy. The lack of a guide makes it difficult for untrained users to perform the calibration. This paper proposes a systematic method for identifying muscles in the lower forearm for EMG input for a control system. Palpation was used on a single subject to identify the major muscles and their locations. A coordinate system was then used to record the positions of the muscles. Seven major muscles which are considered robust to electrical interference and skin shift were identified, and their coordinates recorded.
 
Index Terms—palpation, EMG, human machine interface, synthetic system

Cite: Zinvi Fu, Ahmad Yusairi Bani Hashim, Zamberi Jamaludin, and Imran Syakir Mohamad, "Using Palpation for Identification and Discrimination of Optimal Points for EMG Harvesting on the Lower Forearm Muscles," International Journal of Signal Processing Systems, Vol. 4, No. 5, pp. 437-441, October 2016. doi: 10.18178/ijsps.4.5.437-441
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