@inproceedings{b433ec6aa3db441c92b03b72d348a3cc,
title = "The effect of lossy ECG compression on QRS and HRV feature extraction",
abstract = "This paper describes the performance of beat detection and heart rate variability (HRV) feature extraction on electrocardiogram signals which have been compressed and reconstructed with a lossy compression algorithm. The set partitioning in hierarchical trees (SPIHT) compression algorithm was used with sixteen compression ratios (CR) between 2 and 50 over the records of the MIT/BIH arrhythmia database. Sensitivities and specificities between 99\% and 85\% were computed for each CR utilised. The extracted HRV features were between 99\% and 82\% similar to the features extracted from the annotated records. A notable accuracy drop over all features extracted was noted beyond a CR of 30, with falls of 10\% accuracy beyond this compression ratio.",
author = "Niall Twomey and Noel Walsh and Orla Doyle and Brian McGinley and Martin Glavin and Edward Jones and Marnane, \{W. P.\}",
year = "2010",
doi = "10.1109/IEMBS.2010.5627261",
language = "English",
isbn = "9781424441235",
series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
pages = "634--637",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
note = "2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",
}