DocumentCode
406984
Title
A new resource for independent and blinded assessment of QRS detection algorithms
Author
Tsunami, D. ; McNames, J. ; Aboy, M. ; Ellenby, M.S.
Author_Institution
Biomed. Signal Process. Lab., Portland State Univ., OR, USA
Volume
3
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
2889
Abstract
We describe a new resource for developers of QRS detection algorithms that provides a standardized assessment of algorithm performance that is blinded, objective, independent, and reproducible. This overcomes the problems of using a single data set for both development and assessment that leads to favorably biased estimates of performance.
Keywords
electrocardiography; medical signal detection; medical signal processing; patient monitoring; ECG; QRS detection algorithms; algorithm performance; electrocardiograms; Algorithm design and analysis; Databases; Detection algorithms; Electrocardiography; Heart rate; Laboratories; Medical diagnostic imaging; Pediatrics; Signal processing algorithms; Tsunami;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1280522
Filename
1280522
Link To Document