A Novel Low Complexity On body CVD Classifier ASIC Design Methodology

Tiwari, Sandeep Kumar (2015) A Novel Low Complexity On body CVD Classifier ASIC Design Methodology. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Due to increasing rate of cardiac disorders in developed and developing countries Continuous on body monitoring of ECG signal using the concept of IoT and Body Sensor Network has become the necessity. In this work we are proposing a novel low complex, low power algorithm and architecturefor E.C.G. classification which can be incorporated in present era of IOT and Body Sensor Network. Rather than going for Artificial Intelligence based pattern matching and complex DSP algorithm we have used the simplicity of Hurst exponent and Haar wavelet for filtering out anomalous E.C.G. signals and normal ones.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Body Sensor Network, Discrete Wavelet Transform, TD451
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 06 Aug 2015 04:56
Last Modified: 06 Aug 2015 04:56
URI: http://raiith.iith.ac.in/id/eprint/1811
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