Reconstructing PPG Signal from Video Recordings
GaÅ¡per SlapniÃ‡car, Erik Dovgan, Andrejaana Andova, Mitja LuÅ¡trek
Progress in Signals and Telecommunication Engineering, Vol. 7, No. 2, 2018.
DOI: 
Link: http://www.dline.info/pste/fulltext/v7n2/pstev7n2_2.pdf
Abstract:
Physiological signals give important insight regarding some oneâ€™s health. It would be in the interest of people to monitor such signals without any wearable devices. We used RGB camera recordings of faces to reconstruct the PPG signal, which can be used to monitor many physiological signals such as heart rate, breathing rate, blood pressure, etc. A
deep learning method was developed to enhance existing state-of-the-art methods. This method uses the output of an existing
method as an input into a LSTM neural network, which substantially improves the reconstruction of PPG.