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 language | English |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015 |
Place of Publication | Milan |
Pages | 5082-5085 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718, 9781424492701 |
DOIs | |
Publication status | Published - 5 Nov 2015 |
Externally published | Yes |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37 https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Abbreviated title | EMBC 2015 |
Country/Territory | Italy |
City | Milan |
Period | 25/08/15 → 29/08/15 |
Internet address |
Keywords
- Heart/Brain Monitoring
- Remote Health Care
- Low Complexity