Abstract: A system for computing a signal quality index from a multichannel bio-signal of a subject, the system including at least two sensors for acquiring one multichannel bio-signal of the subject; a memory including a reference covariance matrix and; a computing unit for computing a signal quality index, wherein the computing unit computes Riemannian distances between the reference covariance matrix and covariance matrices obtained from the multichannel bio-signal.

Abstract: The present invention relates to a method for generating a sensorial stimulus using electroencephalographic data acquired from a subject, the method comprising the following steps: receiving electroencephalographic data comprising at least two electroencephalographic signals measured simultaneously from at least two electroencephalogram channels; calculating an alpha phase neuromarker on consecutive epochs of the electroencephalographic data, the alpha phase neuromarker being representative of at least the phase coherence between alpha waves recorded from the at least two electroencephalogram channels; and generating a sensorial stimulus representing alpha phase neuromarker using an output generator.

Abstract: The present invention relates to a computer-implemented method for computing a neuromarker of Alzheimer's disease comprising the steps of obtaining at least one spectral feature from EEG signals of a subject; obtaining at least one Riemannian distance between a spatiofrequential covariance matrix computed from the EEG signals of said subject and at least one reference spatiofrequential covariance matrix; and combining said at least one spectral feature and said at least one Riemannian distance in a mathematical function. The present invention also relates to a method for self-paced modulation of EEG signals of a subject in order to alleviate symptoms of Alzheimer's disease using the predictive neuromarkers of Alzheimer's disease.

Abstract: The present invention relates to a computer-implemented method for modifying nociception in a subject using electroencephalographic data acquired from the brain of a subject, the method comprising the steps of: receiving electroencephalographic data comprising at least two electroencephalographic signals measured simultaneously from at least two electroencephalogram channels, computing a Fourier transform of the at least two electroencephalographic signals on a temporal window; averaging complex Fourier coefficients in the frequency band of alpha waves; computing an alpha phase concentration neuromarker on consecutive epochs of the electroencephalographic data, generating a sensorial stimulus representing alpha phase concentration neuromarker using an output generator. The present invention also relates to a method for training a subject to reinforce self-modulation of pain pathways.

Abstract: Disclosed is a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1 . . . K reference covariance matrices, the method including the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of the neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1 . . . K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). Also disclosed is a system and method for self-paced modulation or external modulation of neural activity of a subject.