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Summer Research Fellowship Programme of India's Science Academies

Mobile Lab for real-time data acquisition of EMG and motion tracking sensor for visuomotor adaptation tasks

Lakshay Jain

Communication and Computer Engineering, The LNM Institute of Information Technology, Jaipur 302031

Prof. Aditya Murthy

Professor, Center of Neuroscience, Indian Institute of Science, Bengaluru 560012

Abstract

The central nervous system is organized in a hierarchical fashion. Motor programming takes place in the premotor cortex, the supplementary motor area, and other associated areas of the cortex. Inputs from these areas and from the cerebellum converge to the primary motor cortex and excite or inhibit the various neurons of the primary motor cortex. The axons of the neurons of the primary motor cortex descend all the way into the spinal cord, where they make the final relay of information to the motor neurons of the spinal cord. These neurons are connected directly to the muscles and cause them to contract. Finally, by contracting and by thus pulling on the bones of the arm and hand, the muscles execute the movement. The function of muscles generates an electric potential which is called an electromyogram (EMG). Electromyography (EMG) is an experimental technique concerned with the development, recording, and analysis of myoelectric signals. It can be measured by using needle electrodes or surface electrodes. The EMG acquired by surface electrodes is called as surface electromyogram (sEMG) and can be recorded or measured with an electrode, and is then displayed on an oscilloscope, which would then provide information about the ability of the muscle to respond to nerve stimuli based upon the presence, size and shape of the wave – the resulting action potential. Data is collected from EMG and motion tracking sensors which are placed on the skin surface over the muscles to be tested. The work mainly aims at designing a flexible and modular setup of an intelligent mobile lab that can be equipped with wireless EMG, motion tracking and eye tracking sensors with a front panel that will request the users to perform a particular visuomotor task using a Graphical User Interface and the raw data from the muscles activity could be acquired at the real-time from the electrodes and sensors using a software package.

Keywords: central nervous system, electromyogram, electromyography, Graphical User Interface

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