NDLI: FEED: An ECG data mining algorithm in WE-CARE system

Content Provider	IEEE Xplore Digital Library
Author	Junmeng Gao Shihong Zou Anpeng Huang
Copyright Year	2015
Description	Author affiliation: State Key Lab. of Networking & Switching Technol, BUPT, Beijing, China (Junmeng Gao; Shihong Zou) \|\| mHealth Lab., Peking Univ., Beijing, China (Anpeng Huang)
Abstract	The cardiovascular disease (CVD) is a serious social problem. For solving this problem, we developed WE-CARE system. The use of 7 lead wires helps collecting sufficient ECG data to guarantee the detection accuracy without impairing the mobility of the system 910. While the traditional algorithms face efficiency challenges for the large data, complicated algoirthm and small capacity of wearable devices. In this paper, we propose a brand new ECG online analyzing algorithm to solve the efficiency problem, called the FEED (Fast Emergency ECG Detection) algorithm. Firstly, FEED algorithm will proeprocess the raw ECG data and do basic feature extramction for it. Secondly, it conducts abnormal signal calissification with the data uploads it to servers for deep analysis. Thirdly, it retrains the classifier and updates parameters for it. Through this kind of design, FEED can achieve high efficiency. The FEED solution is embedded organically in all three layers of the WE-CARE system to alleviate the critical '3V' challenges - variability, volatility and value. Therefore, FEED can fully optimize the performance for WE-CARE system.
Starting Page	1
Ending Page	8
File Size	715797
Page Count	8
File Format	PDF
e-ISBN	9781479961689
DOI	10.1109/Ubi-HealthTech.2015.7203320
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Training Electrocardiography Feature extraction Mobile communication Classification algorithms Feeds
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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