Processing of electrophysiological signals

A system, comprising:

• an interface;
• a PPG sensor configured to collect a PhotoPlethysmoGraphy (PPG) signal from a user;
• and
• processing circuitry coupled to the PPG sensor and configured to receive the PPG signal from the PPG sensor, the processing circuitry comprising artificial neural network processing circuits and configured to:
• generate, via the artificial neural network processing circuits, a reconstructed ElectroEncephaloGram (EEG) signal from the PPG signal, the artificial neural network processing circuits being configured to train at least one artificial neural network circuit over a training set of signals produced during a sampling of a sample set of EEG signals;
• and
• alerting the user, via the interface, of a level of attention of the user based on provide the reconstructed EEG signal, the level of attention of the user comprising an attention state from drowsy to wakeful.

A vehicle, comprising:

• a driver assistance device comprising an interface;
• a PPG sensor configured to collect a PhotoPlethysmoGraphy (PPG) signal from a user;
• and
• processing circuitry coupled to the PPG sensor and configured to receive the PPG signal from the PPG sensor, the processing circuitry comprising artificial neural network processing circuits and configured to:
• generate, via the artificial neural network processing circuits, a reconstructed ElectroEncephaloGram (EEG) signal from the PPG signal, the artificial neural network processing circuits being configured to train at least one artificial neural network circuit over a training set of signals produced during a sampling of a sample set of EEG signals;
• and
• alerting the user, via the interface, of a level of attention of the user based on the reconstructed EEG signal, the level of attention of the user comprising an attention state from drowsy to wakeful.

A computer program product loadable in a memory of a processing circuit and executable by the processing circuit, the computer program product comprising instructions for:

• receiving a PhotoPlethysmoGraphy (PPG) signal from a user via a PPG sensor;
• generating, by a processor and via artificial neural network processing of the PPG signal, a reconstructed ElectroEncephaloGram(EEG) signal, the artificial neural network processing of the PPG signal comprising training at least one artificial neural network circuit over a training set of signals produced during a sampling of a sample set of EEG signals;
• and
• alerting the user, via an interface, of a level of attention of the user based on the reconstructed EEG signal, the level of attention of the user comprising an attention state from drowsy to wakeful.