Digital Signal Processing


Analysis Bio-Potential to Ascertain Movements for Prosthetic Arm with Different Weights Using Labview

Authors: Yadvendra Singh, Nirbhow Jap Singhy, Ravinder Aggarwalz

The Prosthetic is a branch of biomedical engineering that deals with missing human body parts with artificial one. SEMG powered prosthetic required SEMG signals. The SEMG is a common method of measurement of muscle activity. The analysis of SEMG signals depends on a number of factors, such as amplitude as well as time and frequency domain properties. In the present work, the study of SEMG signals at different location, below elbow and bicep branchii muscles for two operation of hand like grip the different weights and lift the different weights are carried out. SEMG signals are extracted by using a single channel SEMG amplifier. Biokit Datascope is used to acquire the SEMG signals from the hardware. After acquiring the data from two selected location, analysis are done for the estimation of parameters of the SEMG signal using LabVIEW 2012 (evaluation copy). An interpretation of grip/lift operations using time domain features like root mean square (rms) value, zero crossing rate, mean absolute value and integrated value of the EMG signal are carried out. For this study 30 university students are used as subjects with 12 female and 18 male that will be a very helpful for the research in understanding the behavior of SEMG for the development for the prosthetic hand.

Comments: 15 Pages.

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Submission history

[v1] 2015-04-14 07:13:44

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