Dario Floreano, Claudio Mattiussi, Walter Karlen
We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...
IEEE Press2007