Interview with Stanislas Chambon, researcher within the scientific Dreem team.

Stanislas Chambon is a PhD student within the scientific Dreem team and is currently finishing his last year of thesis on the problems of machine learning applied to the ECG (or encephalogram, or the measure of electric activity in the brain).

At Dreem, his essential research for the development and improvement of the headband has recently been published:

Chambon, S., Galtier, M., Arnal, P., Wainrib, G., & Gramfort, A. (2017). A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series. ArXiv:1707.03321 [Cs, q-Bio, Stat].

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