Photoplethysmographic signal-diffusive dynamics as a mental-stress physiological indicator using convolutional neural networks

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  • who: J. de Pedro-Carracedo and collaborators from the Life Supporting Technologies (LifeSTech), ETSI Telecomunicaciu00f3n, Universidad Politu00e9cnica Madrid (UPM) have published the Article: Photoplethysmographic Signal-Diffusive Dynamics as a Mental-Stress Physiological Indicator Using Convolutional Neural Networks, in the Journal: (JOURNAL)
  • what: In this work a convolutional-neural-network (CNN) model is proposed to detect an individual`s stress state by analyzing the diffusive dynamics of the (PPG) signal. Based on the two-dimensional structure of this distribution, equivalent to an image, the authors propose a model that utilizes DL to automate stress detection in . . .

     

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