Abstract: A computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephalographic signal, the method including the steps of obtaining (A) an electroencephalographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephalographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephalographic signals; calculating (E) a matching score by comparing the zero-crossing representation of a segment of the electroencephalographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function of time by sliding the at least one reference function from

Abstract: A system for calculating an indicator associated to a brain activity of a subject, the system including an acquisition module configured to acquire at least an epoch of electroencephalographic signal of a subject from a plurality of electrodes and a data processing module configured to carry out the steps of: calculating an average vector (VA) using as input of an autoencoder neural network (aNN) an electroencephalographic signals (ES) of a subject acquired from a plurality of electrodes; detecting (DET) the presence of at least a predefined pattern in the consecutive average values of the average vector (VA); and generating an indicator of brain activity (Idx) of the subject when detecting the predefined pattern.

Abstract: The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Abstract: An in-ear stimulation system including a first device configured to be worn at least partially in a first ear canal of a subject and a second device configured to be worn at least partially in a second ear canal of the subject. Each of the first device and the second device includes: at least one in-ear active electrode configured to receive a bio-signal and at least one in-ear reference electrode configured to receive a bio-signal; at least one stimulation device configured for emitting at least one electrical or sensory stimulus; and an electronic system configured to detect at least one bio-signal pattern from the bio-signals measured from the electrodes.

Abstract: A computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephalographic signal, the method including the steps of obtaining (A) an electroencephalographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephalographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephalographic signals; calculating (E) a matching score by comparing the zero-crossing representation of a segment of the electroencephalographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function of time by sliding the at least one reference function from

Abstract: A system for calculating an indicator associated to a brain activity of a subject, the system including an acquisition module configured to acquire at least an epoch of electroencephalographic signal of a subject from a plurality of electrodes and a data processing module configured to carry out the steps of: calculating an average vector (VA) using as input of an autoencoder neural network (aNN) an electroencephalographic signals (ES) of a subject acquired from a plurality of electrodes; detecting (DET) the presence of at least a predefined pattern in the consecutive average values of the average vector (VA); and generating an indicator of brain activity (Idx) of the subject when detecting the predefined pattern.

Abstract: The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Abstract: The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Abstract: An in-ear stimulation system including a first device configured to be worn at least partially in a first ear canal of a subject and a second device configured to be worn at least partially in a second ear canal of the subject. Each of the first device and the second device includes: at least one in-ear active electrode configured to receive a bio-signal and at least one in-ear reference electrode configured to receive a bio-signal; at least one stimulation device configured for emitting at least one electrical or sensory stimulus; and an electronic system configured to detect at least one bio-signal pattern from the bio-signals measured from the electrodes.

Abstract: The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Abstract: A method for analyzing synchronizations of the electroencephalography of an individual using a set of sensors starting from cerebral electromagnetic analysis of the individual. The method creates a database by acquisition and digitization of electrophysiological signals output from the sensors, and calculates the degree of synchronization existing between all pairs of sensors recorded in an assembly protocol, in frequency bands between 0 and 2000 Hz, to build up the database of classes each characterizing a reference state. The method further performs statistical validation of a period analyzed in real time, which assigns this period to a class in the database, and detects a specific period with a determined degree of synchronization. A device implements this method.

Abstract: The invention relates to a method of representing a dynamic functional image of the brain. It consists in acquiring (A) for a specific duration a plurality of electrophysiological signals {esi}1N of cerebral activity from a set of electrodes {Ei}1N placed on the scalp (S) of the subject, in locating (B) the set of neuroelectric generators {{right arrow over (g)}jk}11JK in the cerebral volume from a three-dimensional image {Ck}1K made up of successive cross-sections of the brain, and in applying the inverse problem, and within active zones that include neuroelectric generators discriminating (C) the amount of synchrony that exists between electrophysiological signal and neuroelectric generator pairs in a plurality of frequency bands, to detect groups of discriminating neural networks {RNdk}1K. The invention is useful for non-invasive study of provoked or unprovoked functional anomalies.

Abstract: A method for analyzing synchronizations of the electroencephalography of an individual using a set of sensors starting from cerebral electromagnetic analysis of the individual. The method creates a database by acquisition and digitization of electrophysiological signals output from the sensors, and calculates the degree of synchronization existing between all pairs of sensors recorded in an assembly protocol, in frequency bands between 0 and 2000 Hz, to build up the database of classes each characterizing a reference state. The method further performs statistical validation of a period analyzed in real time, which assigns this period to a class in the database, and detects a specific period with a determined degree of synchronization. A device implements this method.

Abstract: The invention concerns a device and a method for the detection of changes in dynamic properties of electrical brain activity to characterize and to differentiate between physiological and pathological conditions, or to anticipate epileptic seizures.

Abstract: A method for the detection of changes in dynamic properties of brain electrical activity is used to characterize and differentiate between physiological and pathological conditions, and to anticipate epileptic seizures. The detection of changes in dynamic properties of brain electrical activity is accomplished by constructing reference dynamics (Sref) of a normal state from an EEG, comparing the reference dynamics (Sref) with dynamics of a test segment (St), and computing the similarities over the entire EEG recordings by sliding the test segment (St) periodically.

Abstract: The invention concerns a device and a method for the detection of changes in dynamic properties of electrical brain activity to characterize and to differentiate between physiological and pathological conditions, or to anticipate epileptic seizures.