Title :
Open source ECG analysis
Author_Institution :
E.P. Ltd., Somerville, MA, USA
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;
Conference_Titel :
Computers in Cardiology, 2002
Print_ISBN :
0-7803-7735-4
DOI :
10.1109/CIC.2002.1166717