@article{
 title = {Assessment of ECG quality on an Android platform},
 type = {article},
 year = {2011},
 identifiers = {[object Object]},
 pages = {433-436},
 id = {75b5a215-ef9f-37a8-9b84-cbcafad04147},
 created = {2015-04-30T11:14:13.000Z},
 file_attached = {true},
 profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},
 group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},
 last_modified = {2015-04-30T11:58:12.000Z},
 read = {false},
 starred = {false},
 authored = {false},
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 hidden = {false},
 abstract = {An algorithm to determine quality of ECGs can enable inexperienced nurses and paramedics to record ECGs of sufficient diagnostic quality. We propose an algorithm that can assess the quality of an ECG designed for an Android-based platform. The algorithm is based on previously established ECG quality metrics for quantifying ECG quality but designed in a way to make it efficient to run on a mobile platform. Using the training data set the proposed algorithm obtained a sensitivity of 91% and a specificity of 85%. Testing against the test data sets, resulted in a score of 0.88 (events 1 and 2) and 0.79 (events 3). The proposed algorithm discriminates between ECGs of good and bad quality, which could help diagnose patients earlier and reduce associated treatment costs.},
 bibtype = {article},
 author = {Johannesen, Lars},
 journal = {2011 Computing in Cardiology (CinC)}
}

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