| Title | The effect of lossy ECG compression on QRS and HRV feature extraction. | ||
| Author | Twomey, Niall; Walsh, Noel; Doyle, Orla; McGinley, Brian; Glavin, Martin; Jones, Edward; Marnane, W P | ||
| Journal | Annu Int Conf IEEE Eng Med Biol Soc | Publication Year/Month | 2010 |
| PMID | 21096542 | PMCID | -N/A- |
| Affiliation | 1.Department of Electrical and Electronic Engineering, University College Cork, Ireland, Galway. niall@rennes.ucc.ie. | ||
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.