Depression recognition according to heart rate variability using Bayesian Networks.

Journal: Journal of psychiatric research
PMID: 28926794

Abstract

BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation can be evaluated by heart rate variability (HRV). Depression patients have lower HRV than healthy subjects. Therefore, HRV may be used to distinguish depression patients from healthy people.

Authors

  • Danni Kuang
    Department of Biomedical Engineering, South China University of Technology, Guangzhou, China.
  • Rongqian Yang
    Department of Biomedical Engineering, South China University of Technology, Guangzhou, China. Electronic address: bmeyrq@foxmail.com.
  • Xiuwen Chen
    Department of Biomedical Engineering, South China University of Technology, Guangzhou, China.
  • Guohui Lao
    The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
  • Fengchun Wu
  • Xiong Huang
    The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
  • Ruixue Lv
    Shenzhen Sayes Medical Technology Co., Ltd., Shenzhen, China.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Chuanxu Song
    Shenzhen Sayes Medical Technology Co., Ltd., Shenzhen, China.
  • Shanxing Ou
    General Hospital of Guangzhou Military Command of PLA, Guangzhou, China.

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