A method for generating for a subject a personalized playlist of sounds, notably songs, using the analysis of the subject's electroencephalographic signal, the method including the following steps: receiving at least one segment of electroencephalographic signal acquired from at least one electrode while the subject is listening to at least one proposed sound; extracting at least one EEG index from the electroencephalographic signal segment so as to characterize brain patterns correlated to the emotions evoked by the music and the level of appreciation of the sound; evaluating the valence of sounds listening on the basis of the EEG index; receiving a score of appreciation on the sound from the subject; including the sound in the personalized playlist (P) of the subject whenever the valence matches a predefined valence and/or the score of appreciation is higher than a predefined threshold.

A method for generating for a subject a personalized playlist of sounds, notably songs, using the analysis of the subject's electroencephalographic signal, the method including the following steps: receiving at least one segment of electroencephalographic signal acquired from at least one electrode while the subject is listening to at least one proposed sound; extracting at least one EEG index from the electroencephalographic signal segment so as to characterize brain patterns correlated to the emotions evoked by the music and the level of appreciation of the sound; evaluating the valence of sounds listening on the basis of the EEG index; receiving a score of appreciation on the sound from the subject; including the sound in the personalized playlist (P) of the subject whenever the valence matches a predefined valence and/or the score of appreciation is higher than a predefined threshold.

A method of estimating a hearing loss based on a parameterized representation of a plurality of audiograms. The invention is also directed at a hearing estimation system (200) adapted to carry out said method.

A method of estimating a hearing loss based on a parameterized representation of a plurality of audiograms. The invention is also directed at a hearing estimation system (200) adapted to carry out said method.

A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

A physiological information measurement apparatus includes a measuring section that acquires a physiological signal from a living body of a subject, a signal processor that produces a plurality of physiological signal waveforms based on the physiological signal acquired from the measuring section, and that identifies an arithmetic average waveform that is obtained by arithmetic averaging of the plurality of physiological signal waveforms, and information relating to arithmetic average dispersion, and a display that displays at least the information relating to the arithmetic average dispersion.

Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.

The present invention relates to a method for provision of information on a mental disorder and a device utilizing same, the method for provision of information on a mental disorder being implemented by a processor, and comprising: outputting a stimulus to a subject in order to generate brain waves; receiving brain wave data and brain activity data measured in the subject during outputting the stimulus; and determining whether a mental disorder is present in the subject by using a classification model configured to classify mental disorders on the basis of the brain wave data and the brain activity data.

A platform configured to provide virtual glass in order to augment and improve focus group sessions for each actor within the ecosystem. The platform may be configured to allow a moderator, one or more test subjects, and one or more client users to participate in a focus group session at geographically diverse locations. The platform may also be configured to supplement the focus group experience by allowing for dialog and communication between the client users. In some cases, the platform may also be configured to generate and provide real time status indicators associate with the tests subject, real time text-based transcripts of the sessions, and recommendations as to the focus group direction to the moderator.

A platform configured to provide virtual glass in order to augment and improve focus group sessions for each actor within the ecosystem. The platform may be configured to allow a moderator, one or more test subjects, and one or more client users to participate in a focus group session at geographically diverse locations. The platform may also be configured to supplement the focus group experience by allowing for dialog and communication between the client users. In some cases, the platform may also be configured to generate and provide real time status indicators associate with the tests subject, real time text-based transcripts of the sessions, and recommendations as to the focus group direction to the moderator.