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HEARTMATE: AUTOMATED INTEGRATED ANOMALY ANALYSIS FOR EFFECTIVE REMOTE CARDIAC HEALTH MANAGEMENT

Citation Author(s):
Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, Ayan Mukherjee
Submitted by:
Chetanya Puri
Last updated:
28 February 2017 - 1:17am
Document Type:
Demo
Document Year:
2017
Event:
Presenters:
Chetanya Puri
Paper Code:
4278
 

Remote cardiac health management is an important healthcare application. We have developed Heartmate that enables basic screening of cardiac health using low cost sensors or smartphone-inbuilt sensors without manual intervention. It consists of robust denoising algorithm along with effective anomaly analytics for physiological signals. Heartmate identifies and eliminates signal corruption as well as detects cardiac anomaly condition from physiological cardiac signals like heart sound or phonocardiogram (PCG) and photoplethysmogram (PPG).

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