@inproceedings{ec132bd7183244e382991bf2e390adfc,
title = "ECG quality measures in telecare monitoring",
abstract = "We analyze the use of unsupervised ECG acquisition in the home environment. An algorithm for automatically marking ECG recordings for sections of obvious artifact is described. The algorithm was validated against a set of 150 records randomly chosen from a database of ECGs and manually annotated to identify sections of artifact. Using this algorithm 4751 single lead-I ECG recordings from 24 homedwelling patients were examined. The ECGs were collected using a remote home monitoring system. The participant ages (N=24) ranged from 54-92 years and were suffering either chronic obstructive pulmonary disease and/or congestive heart failure. Percentages of amplifier saturation, high frequency artifact, low signal power and the maximum continuous section of useable ECG are quoted. 1344 records were found to contain no artifact, while 3506 records contained 10 seconds or more of uninterrupted ECG (including the 1344 with no artifact). The results show that in the majority of cases, the capture of ECG in an unsupervised home environment is achievable.",
author = "Redmond, {Stephen J.} and Lovell, {Nigel H.} and Jim Basilakis and Branko Celler",
year = "2008",
doi = "10.1109/iembs.2008.4649801",
language = "English",
isbn = "9781424418152",
series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",
publisher = "IEEE Computer Society",
pages = "2869--2872",
booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",
note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",
}