Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

This scientific work is supported by the AGH University of Science and Technology in year 2016 as a research project No. 11.11.120.612.

[1]  Mohammad Soleymani,et al.  A Multimodal Database for Affect Recognition and Implicit Tagging , 2012, IEEE Transactions on Affective Computing.

[2]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .

[3]  Frédo Durand,et al.  Detecting Pulse from Head Motions in Video , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Jean-Franois Cardoso.  High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.

[5]  Frédéric Sur,et al.  Sensor noise measurement in the presence of a flickering illumination , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[6]  Daniel McDuff,et al.  Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera , 2014, IEEE Transactions on Biomedical Engineering.

[7]  Vijay Kumar,et al.  Towards continuous monitoring of pulse rate in neonatal intensive care unit with a webcam , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  L. O. Svaasand,et al.  Remote plethysmographic imaging using ambient light. , 2008, Optics express.

[9]  L. Tarassenko,et al.  Non-contact video-based vital sign monitoring using ambient light and auto-regressive models , 2014, Physiological measurement.

[10]  Makoto Yoshizawa,et al.  Techniques for estimating blood pressure variation using video images , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[11]  Marek R. Ogiela,et al.  Intelligent image content semantic description for cardiac 3D visualisations , 2011, Eng. Appl. Artif. Intell..

[12]  Survi Kyal,et al.  Pulse Harmonic Strength of facial video signal for the detection of atrial fibrillation , 2014, Computing in Cardiology 2014.

[13]  Jacek Ruminski,et al.  A multisensor detector of a sleep apnea for using at home , 2013, 2013 6th International Conference on Human System Interactions (HSI).

[14]  Survi Kyal,et al.  Detection of atrial fibrillation using contactless facial video monitoring. , 2015, Heart rhythm.

[15]  Matti Pietikäinen,et al.  Remote Heart Rate Measurement from Face Videos under Realistic Situations , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[16]  Murtaza Bulut,et al.  Camera-based heart rate monitoring in highly dynamic light conditions , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).