Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.

Journal: Asian journal of psychiatry
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for distinguishing patients with MDD. This study aimed to improve classification performance by leveraging circadian rhythm features derived from multiple HRV indices using a support vector machine (SVM) approach.

Authors

  • Bing Li
  • Sheng Guo
    Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, And Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
  • Lin Liu
    Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, CMA-Shanghai, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory.
  • Hao Xu
    Department of Nuclear Medicine, the First Affiliated Hospital, Jinan University, Guangzhou 510632, P.R.China.gdhyx2012@126.com.
  • Haitao Chen
    State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 528406, China.
  • Jiaqi Song
    The State Key Laboratory of Digital Medical Engineering, Jiangsu Key Lab of Robot Sensor and Control, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China.
  • Yan Chen
    Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Xia Du
    Department of Nephrology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
  • Shuping Tan
    Psychiatry Research Center, Peking University Huilonguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, China.

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