@article{
 title = {A novel wavelet transform based analysis reveals hidden structure in ventricular fibrillation.},
 type = {article},
 year = {2000},
 identifiers = {[object Object]},
 keywords = {cardiac arrest,electrocardiography,ventricular fibrillation},
 pages = {121-127},
 volume = {43},
 id = {a66c64fa-8597-30c7-9b63-2bade9ff2b2c},
 created = {2015-04-30T11:14:43.000Z},
 file_attached = {true},
 profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},
 group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},
 last_modified = {2015-04-30T12:46:01.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 abstract = {We report a new method of interrogating the surface ECG signal using techniques developed in the field of wavelet transform analysis. Previously unreported structure within the ECG during ventricular fibrillation (VF) is found using a high-resolution decomposition of the signal employing the continuous wavelet transform. We believe that wavelet transform methods could lead to the development of powerful tools for use in the resuscitation of patients with cardiac arrest.},
 bibtype = {article},
 author = {Watson, J N and Addison, P S and Clegg, G R and Holzer, M and Sterz, F and Robertson, C E},
 journal = {Resuscitation},
 number = {2}
}

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