A control study on the effects of HRV biofeedback therapy in patients with post-stroke depression

Xin Li, Tong Zhang, Luping Song, Yong Zhang, Chunxiao Xing, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSmart Health - International Conference, ICSH 2014, Proceedings
PublisherSpringer-Verlag
Pages213-224
Number of pages12
ISBN (Print)9783319084152
DOIs
StatePublished - Jan 1 2014
Event2nd International Conference for Smart Health, CSH 2014 - Beijing, China
Duration: Jul 10 2014Jul 11 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8549 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference for Smart Health, CSH 2014
CountryChina
CityBeijing
Period7/10/147/11/14

Keywords

  • Biofeedback
  • Depression
  • Heart Rate Variability
  • Stroke

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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