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@article{
 id = {9e9f35aa-37e2-33bc-ba37-3a67fa7d7610},
 title = {ECG beat detection using filter banks.},
 type = {article},
 year = {1999},
 identifiers = {[object Object]},
 keywords = {Algorithms,Databases, Factual,Electrocardiography,Electrocardiography: instrumentation,Electrocardiography: methods,Electrocardiography: statistics & numerical data,Equipment Design,Heart Rate,Humans,Sensitivity and Specificity,Signal Processing, Computer-Assisted,Signal Processing, Computer-Assisted: instrumentat,Time Factors},
 created = {2010-05-11T00:27:35.000Z},
 pages = {192-202},
 volume = {46},
 websites = {http://www.ncbi.nlm.nih.gov/pubmed/9932341},
 month = {2},
 file_attached = {true},
 profile_id = {6d353feb-efe4-367e-84a2-0815eb9ca878},
 group_id = {7f22d395-e966-3e55-9f90-9d0061e6682a},
 last_modified = {2014-07-19T19:15:21.000Z},
 read = {true},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Afonso1999},
 client_data = {"desktop_id":"500dfb87-1e18-44fd-9445-1fac81a07735"},
 abstract = {We have designed a multirate digital signal processing algorithm to detect heart beats in the electrocardiogram (ECG). The algorithm incorporates a filter bank (FB) which decomposes the ECG into subbands with uniform frequency bandwidths. The FB-based algorithm enables independent time and frequency analysis to be performed on a signal. Features computed from a set of the subbands and a heuristic detection strategy are used to fuse decisions from multiple one-channel beat detection algorithms. The overall beat detection algorithm has a sensitivity of 99.59% and a positive predictivity of 99.56% against the MIT/BIH database. Furthermore this is a real-time algorithm since its beat detection latency is minimal. The FB-based beat detection algorithm also inherently lends itself to a computationally efficient structure since the detection logic operates at the subband rate. The FB-based structure is potentially useful for performing multiple ECG processing tasks using one set of preprocessing filters.},
 bibtype = {article},
 author = {Afonso, V X and Tompkins, W J and Nguyen, T Q and Luo, S},
 journal = {IEEE transactions on bio-medical engineering},
 number = {2}
}