Affordable low complexity heart/brain monitoring methodology for remote health care

Vemishetty, N and Jadhav, P and Adapa, B and Acharyya, Amit and P, Rajalakshmi and Naik, G R (2015) Affordable low complexity heart/brain monitoring methodology for remote health care. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25-29 Aug, 2015, Milan.

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This paper introduces a dual-mode low complex on-chip methodology for processing of ECG (Electrocardiogram) and EEG (Electroencephalography) signals, wherein based on the input switch the architecture can be dynamically configured to operate either as an ECG bio-marker or EEG signal de-noising system. In both the modes the signal processing technique depends on the output of the DWT (Discrete Wavelet Transform), hence a low complex methodology has been developed in which both ECG and EEG processing blocks sharing the same DWT block resulting in low area and low power consumption. The integrated ECG and EEG methodology has been implemented in Matlab, for verifying the ECG processing block the ECG database is taken from MIT-BIH PTBDB and IITH DB, similarly for EEG processing block the EEG signals are taken from PhysioNet database. The outcome of methodology in Matlab is equal to the results obtained from individual ECG and EEG blocks.

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IITH Creators:
IITH CreatorsORCiD
Acharyya, Amit
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Computer architecture, Discrete wavelet transforms, Electrocardiography, Electroencephalography, Feature extraction, Monitoring, Power demand
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 21 Jan 2016 06:26
Last Modified: 29 Aug 2017 11:03
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