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
  8. Singh M, Xu Q, Wang S, Hong T, Ghassemi M, Lo A, Gontis V. Real-time extended psychophysiological analysis of financial risk processing. PLOS ONE 2022;17(7):e0269752 View
  9. Vats V, Nagori A, Singh P, Dutt R, Bandhey H, Wason M, Lodha R, Sethi T. Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos. Frontiers in Physiology 2022;13 View
  10. Inagaki K, Ohta Y. Capacity of Autonomous Sensory Meridian Response on the Reduction of Mental Stress. International Journal of Environmental Research and Public Health 2022;19(21):14577 View
  11. Novikov M, Anashkina D, Ivanov A, Konovalov A, Popov V. Thermographic analysis of postoperative changes in the nasal breathing efficiency in infants and young children with unilateral cleft lip. International Journal of Computer Assisted Radiology and Surgery 2021;16(12):2225 View
  12. Wang K, Julier S, Cho Y. Attention-Based Applications in Extended Reality to Support Autistic Users: A Systematic Review. IEEE Access 2022;10:15574 View
  13. Özdil A, Yilmaz B. Medical infrared thermal image based fatty liver classification using machine and deep learning. Quantitative InfraRed Thermography Journal 2024;21(2):102 View
  14. Ninan J, Kumar B, Padodara R. A Glimpse into Artificial Intelligence in Animal Physiology and Allied Sciences. Animal Reproduction Update 2022;2(1):72 View
  15. Rinella S, Massimino S, Fallica P, Giacobbe A, Donato N, Coco M, Neri G, Parenti R, Perciavalle V, Conoci S. Emotion Recognition: Photoplethysmography and Electrocardiography in Comparison. Biosensors 2022;12(10):811 View
  16. Rachim V, Baek J, Kim Y, Kim Y, Park S. High Sampling Rate Smartphone-PPG via Built-in Rolling Shutter Image Sensor. IEEE Internet of Things Journal 2023;10(1):512 View
  17. Tump D, Narayan N, Verbiest V, Hermsen S, Goris A, Chiu C, Van Stiphout R. Stressors and Destressors in Working From Home Based on Context and Physiology From Self-Reports and Smartwatch Measurements: International Observational Study Trial. JMIR Formative Research 2022;6(11):e38562 View
  18. Volkov I, Sagaidachnyi A, Fomin A. Photoplethysmographic Imaging of Hemodynamics and Two-Dimensional Oximetry. Optics and Spectroscopy 2022;130(7):452 View
  19. Aydemir T, Şahin M, Aydemir O. Sequential forward mother wavelet selection method for mental workload assessment on N-back task using photoplethysmography signals. Infrared Physics & Technology 2021;119:103966 View
  20. Holloway C, Bhot W, Yong K, McCarthy I, Suzuki T, Carton A, Yang B, Serougne R, Boampong D, Tyler N, Crutch S, Berthouze N, Cho Y. STEP-UP: Enabling Low-Cost IMU Sensors to Predict the Type of Dementia During Everyday Stair Climbing. Frontiers in Computer Science 2022;3 View
  21. Stojchevska M, Steenwinckel B, Van Der Donckt J, De Brouwer M, Goris A, De Turck F, Van Hoecke S, Ongenae F. Assessing the added value of context during stress detection from wearable data. BMC Medical Informatics and Decision Making 2022;22(1) View
  22. Mentis A, Lee D, Roussos P. Applications of artificial intelligence−machine learning for detection of stress: a critical overview. Molecular Psychiatry 2023 View
  23. Gioia F, Nardelli M, Scilingo E, Greco A. Autonomic Regulation of Facial Temperature during Stress: A Cross-Mapping Analysis. Sensors 2023;23(14):6403 View
  24. Lyzwinski L, Elgendi M, Menon C. The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review. JMIR Mental Health 2023;10:e40163 View
  25. Joshi J, Wang K, Cho Y. PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User Studies. Sensors 2023;23(19):8244 View
  26. Mohamed Y, Güneysu A, Lemaignan S, Leite I. Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise. International Journal of Social Robotics 2023 View
  27. Baran K. Smartphone thermal imaging for stressed people classification using CNN+MobileNetV2. Procedia Computer Science 2023;225:2507 View
  28. Liu I, Liu F, Zhong Q, Ma F, Ni S. Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging. PeerJ Computer Science 2024;10:e1912 View
  29. Joshi J, Cho Y. iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels. Electronics 2024;13(7):1334 View
  30. Farhan A, Mouhsen A, Labakoum B, Rattal M, Lyazidi A. Assessing Heart Rate Variability and Pulse Rate Variability Patterns in Cardiac Patients: Exploring the Utility of Photoplethysmography and Electrocardiography. Biomedical and Pharmacology Journal 2024;17(1):453 View

Books/Policy Documents

  1. Lu P, Zhang W, Ma L, Zhao Q. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. View
  2. Sowmiya E, Nirmala K, Suganthi L. ICDSMLA 2021. View
  3. Królak A, Pilecka E. Biocybernetics and Biomedical Engineering – Current Trends and Challenges. View
  4. Mejía-Mejía E, Allen J, Budidha K, El-Hajj C, Kyriacou P, Charlton P. Photoplethysmography. View
  5. Fauquet-Alekhine P, Granry J. The Palgrave Handbook of Occupational Stress. View
  6. Gioia F, Nardelli M, Scilingo E, Greco A. MEDICON’23 and CMBEBIH’23. View
  7. Dutta T, Bandyopadhyay A. Emotion, Cognition and Silent Communication: Unsolved Mysteries. View