Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures. Reinertsen, E., Nemati, S., Vest, A., N., Vaccarino, V., Lampert, R., Shah, A., J., & Clifford, G., D. Physiological Measurement, 2017.
bibtex   
@article{
 title = {Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures},
 type = {article},
 year = {2017},
 id = {032c933a-01a7-397f-9afa-25ad8f524fe8},
 created = {2017-04-27T16:18:02.512Z},
 file_attached = {false},
 profile_id = {8c4ca2d5-86de-3b5d-86be-8408415f34e0},
 group_id = {d7b44578-07c1-3210-ae74-3bcd7f980767},
 last_modified = {2017-05-13T17:39:50.306Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Reinertsen, Erik and Nemati, Shamim and Vest, Adriana N and Vaccarino, Viola and Lampert, Rachel and Shah, Amit J and Clifford, Gari D},
 journal = {Physiological Measurement}
}

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