@inproceedings{b56af1fe60f64a8482f7a41a18c88609,
title = "A control study on the effects of HRV biofeedback therapy in patients with post-stroke depression",
abstract = "The post-stroke is often associated with emotional disorders, among which post-stroke depression (PSD) has a high incidence. We applied Heart Rate Variability (HRV) biofeedback to train PSD patients by a prospective randomized control study. The purpose of this study was to investigate the effectiveness of the HRV biofeedback on stroke patients' emotional improvement, autonomic nerve function and prognostic implications. In the feedback group, the patients had learned to breathe at the resonant frequency to increase their low frequency (LF) as well as adjust their respiration to synchronize with heart rate fluctuations. Our findings suggest that the HRV biofeedback may be a valid treatment especially on the improvement of depression levels and sleep disturbance in PSD patients.",
keywords = "Biofeedback, Depression, Heart Rate Variability, Stroke",
author = "Xin Li and Tong Zhang and Luping Song and Yong Zhang and Chunxiao Xing and Hsinchun Chen",
year = "2014",
doi = "10.1007/978-3-319-08416-9_23",
language = "English (US)",
isbn = "9783319084152",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "213--224",
booktitle = "Smart Health - International Conference, ICSH 2014, Proceedings",
note = "2nd International Conference for Smart Health, CSH 2014 ; Conference date: 10-07-2014 Through 11-07-2014",
}