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

被引：0

作者：

Ukil, Arijit ^{[1
]}

Bandyopadhyay, Soma ^{[1
]}

Puri, Chetanya ^{[1
]}

Singh, Rituraj ^{[1
]}

Pal, Arpan ^{[1
]}

Mukherjee, Ayan ^{[2
]}

机构：

[1] Tata Consultancy Serv, TCS Res & Innovat, Kolkata, India

[2] Indian Inst Technol, Kharagpur, W Bengal, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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).

引用

页码：6578 / 6579

页数：2

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