US 12,011,269 B2
Electrophysiological signal processing method, corresponding system, computer program product and vehicle
Francesco Rundo, Gravina di Catania (IT); and Sabrina Conoci, Tremestieri Etneo (IT)
Assigned to STMicroelectronics S.r.l., Agrate Brianza (IT)
Filed by STMicroelectronics S.r.l., Agrate Brianza (IT)
Filed on Mar. 16, 2020, as Appl. No. 16/819,688.
Claims priority of application No. 102019000005868 (IT), filed on Apr. 16, 2019.
Prior Publication US 2020/0330020 A1, Oct. 22, 2020
Int. Cl. G06F 7/00 (2006.01); A61B 5/00 (2006.01); A61B 5/18 (2006.01); A61B 5/316 (2021.01); B60W 40/08 (2012.01)
CPC A61B 5/18 (2013.01) [A61B 5/316 (2021.01); A61B 5/725 (2013.01); A61B 5/7264 (2013.01); A61B 5/746 (2013.01); B60W 40/08 (2013.01); A61B 2560/0228 (2013.01); B60W 2040/0872 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method of processing an electrophysiological signal, the method comprising:
collecting the electrophysiological signal that is indicative of a level of attention of a human, the electrophysiological signal comprising a PhotoPletysmoGraphy (PPG) signal;
filtering the electrophysiological signal via joint low-pass and high-pass filtering using a set of filtering parameters including low-pass filters parameters and high-pass filters parameters having a set of low-pass cut-off frequencies and a set of high-pass cut-off frequencies respectively;
applying a first artificial neural network processing to the filtered electrophysiological signal to extract therefrom a set of features of the electrophysiological signal;
applying a second artificial neural network processing to the set of features extracted from the filtered electrophysiological signal to produce a classification signal indicative of the level of attention of the human; and
generating a trigger signal to trigger a user circuit based on the classification signal.