This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1691) Digital Health Reviews (1724) Reviews on Cardiovascular Health and Medicine (32) Cardiac Risk and Cardiac Risk Calculators (102) Cardiac Disease Management (156)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40342, first published .
When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures

When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures

When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures

Authors of this article:

Milena Čukić1 Author Orcid Image ;   Danka Savić2 Author Orcid Image ;   Julia Sidorova3 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Čukić M, Savić D, Bachmann M. Editorial: Innovations in depression diagnosis and treatment outcome monitoring. Frontiers in Digital Health 2023;5 View
  2. Amadio P, Sandrini L, Zarà M, Barbieri S, Ieraci A. NADPH-oxidases as potential pharmacological targets for thrombosis and depression comorbidity. Redox Biology 2024;70:103060 View
  3. Xu L, Zhai X, Shi D, Zhang Y. Depression and coronary heart disease: mechanisms, interventions, and treatments. Frontiers in Psychiatry 2024;15 View
  4. Fan J, Mei J, Yang Y, Lu J, Wang Q, Yang X, Chen G, Wang R, Han Y, Sheng R, Wang W, Ding F. Sleep‐phasic heart rate variability predicts stress severity: Building a machine learning‐based stress prediction model. Stress and Health 2024;40(4) View
  5. Chen X, Zhang H, Li Z, Liu S, Zhou Y. Continuous Monitoring of Heart Rate Variability and Respiration for the Remote Diagnosis of Chronic Obstructive Pulmonary Disease: Prospective Observational Study. JMIR mHealth and uHealth 2024;12:e56226 View
  6. Yang M, Zhang H, Yu M, Xu Y, Xiang B, Yao X. Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study. BMC Psychiatry 2024;24(1) View
  7. George S. Chaos to clarity: interpreting time series complexity metrics with an application to depression. Discover Mental Health 2025;5(1) View
  8. Jelinek H, Alkhodari M, Khandoker A, Hadjileontiadis L. Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysis. Frontiers in Network Physiology 2025;5 View

Conference Proceedings

  1. Grozdani N, Muñoz A, Pietrick A, Flores R, Shrestha A, Guo X, Liu S, Rundensteiner E. 2023 IEEE MIT Undergraduate Research Technology Conference (URTC). Wearable Wellness: Depression Screening via Fitbit Data Collected During COVID-19 Pandemic View