Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40163, first published .
The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review

The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review

The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review

Journals

  1. Azizan A, Ahmed W, Razak A. Sensing health: a bibliometric analysis of wearable sensors in healthcare. Health and Technology 2024;14(1):15 View
  2. Ontiveros R, Elgendi M, Missale G, Menon C. Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG. Frontiers in Physiology 2023;14 View
  3. Goda M, Charlton P, Behar J. pyPPG: a Python toolbox for comprehensive photoplethysmography signal analysis. Physiological Measurement 2024;45(4):045001 View
  4. Khan B, Riaz Z, Ahmad R, Khoo B. Advancements in wearable sensors for cardiovascular disease detection for health monitoring. Materials Science and Engineering: R: Reports 2024;159:100804 View
  5. Kim Y, Hwang J, Lee J, Jang S, Im Y, Yoon S, Lee S. Clinical Implication of Maumgyeol Basic Biotypes–Electroencephalography- and Photoplethysmogram-Based Bwave State Inventory. Psychiatry Investigation 2024;21(5):528 View
  6. Lambert Cause J, Solé Morillo Á, García-Naranjo J, Stiens J, da Silva B. The Impact of Contact Force on Signal Quality Indices in Photoplethysmography Measurements. Applied Sciences 2024;14(13):5704 View
  7. Alshanskaia E, Zhozhikashvili N, Polikanova I, Martynova O. Heart rate response to cognitive load as a marker of depression and increased anxiety. Frontiers in Psychiatry 2024;15 View