DocumentCode :
2964660
Title :
Open source ECG analysis
Author :
Hamilton, P.
Author_Institution :
E.P. Ltd., Somerville, MA, USA
fYear :
2002
fDate :
22-25 Sept. 2002
Firstpage :
101
Lastpage :
104
Abstract :
Each year companies and researchers expend significant resources developing basic beat detection and classification software. In an effort to reduce this duplication of effort we are developing and making available open source ECG analysis software. Our open source QRS detectors have sensitivities and positive predictivities that are close to 99.8% on the MIT/BIH and AHA arrhythmia databases. Our beat classifier has a sensitivity of 93.91% and a positive predictivity of 96.48% on the MIT/BIH arrhythmia database and a sensitivity of 93.2% and a positive predictivity of 97.83% on the AHA arrhythmia database. Since we have posted our source code, over 350 users have downloaded our ECG analysis software. Downloads have been nearly equally divided between students, researchers, and commercial developers.
Keywords :
electrocardiography; medical signal detection; medical signal processing; public domain software; signal classification; AHA arrhythmia database; MIT/BIH arrhythmia database; open source ECG analysis software; positive predictivities; sensitivities; Computer displays; Databases; Detectors; Electrocardiography; Heart rate variability; Low pass filters; Occupational stress; Open source software; Signal analysis; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2002
ISSN :
0276-6547
Print_ISBN :
0-7803-7735-4
Type :
conf
DOI :
10.1109/CIC.2002.1166717
Filename :
1166717
Link To Document :
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