Published on in Vol 6, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10140, first published .
Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging

Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging

Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging

Journals

  1. Filippini C, Perpetuini D, Cardone D, Chiarelli A, Merla A. Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review. Applied Sciences 2020;10(8):2924 View
  2. Delmastro F, Martino F, Dolciotti C. Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine Learning. IEEE Access 2020;8:65573 View
  3. Elzeiny S, Qaraqe M. Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images. Sensors 2020;20(18):5312 View
  4. Patlar Akbulut F, Ikitimur B, Akan A. Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome. Artificial Intelligence in Medicine 2020;104:101824 View
  5. Kiran kumar C, Manaswini M, Maruthy K, Siva Kumar A, Mahesh kumar K. Association of Heart rate variability measured by RR interval from ECG and pulse to pulse interval from Photoplethysmography. Clinical Epidemiology and Global Health 2021;10:100698 View
  6. Magalhaes C, Mendes J, Vardasca R. Meta-Analysis and Systematic Review of the Application of Machine Learning Classifiers in Biomedical Applications of Infrared Thermography. Applied Sciences 2021;11(2):842 View
  7. Perpetuini D, Chiarelli A, Cardone D, Filippini C, Rinella S, Massimino S, Bianco F, Bucciarelli V, Vinciguerra V, Fallica P, Perciavalle V, Gallina S, Conoci S, Merla A. Prediction of state anxiety by machine learning applied to photoplethysmography data. PeerJ 2021;9:e10448 View

Books/Policy Documents

  1. Lu P, Zhang W, Ma L, Zhao Q. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. View