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

Naresh Vemishetty, Pranit Jadhav, Bhagyaraja Adapa, Amit Acharyya, Rajalakshmi Pachamuthu, Ganesh R. Naik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015
Place of PublicationMilan
Pages5082-5085
Number of pages4
ISBN (Electronic)9781424492718, 9781424492701
DOIs
Publication statusPublished - 5 Nov 2015
Externally publishedYes
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37
https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15
Internet address

Keywords

  • Heart/Brain Monitoring
  • Remote Health Care
  • Low Complexity

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  • Cite this

    Vemishetty, N., Jadhav, P., Adapa, B., Acharyya, A., Pachamuthu, R., & Naik, G. R. (2015). Affordable low complexity heart/brain monitoring methodology for remote health care. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015 (pp. 5082-5085). https://doi.org/10.1109/EMBC.2015.7319534