Abstract: The disclosure relates to a computer implemented method of extracting typical quotes from text-based data. The method includes obtaining a plurality of text-based data from a plurality of users or sources, wherein each text-based data of the plurality of text-based data is provided by a user or a source from the plurality of users or sources, the text-based data is unstructured; categorizing the plurality of text-based data by at least determining, a typical category and a typical sentiment; wherein the typical sentiment is connected to the typical category; and determining a typical quote representing the plurality of text-based data based on the typical category and the typical sentiment.

Abstract: The disclosure relates to a computer implemented method of characterizing text-based data. The method comprising obtaining a plurality of text-based data from a plurality of users or sources, wherein each text-based data of the plurality of text-based data is provided by a user or a source from the plurality of users or sources, the text-based data is unstructured; analysing each of the text-based data for at least one of category words and unique words, and related sentiment words and/or expressions surrounding the at least one of category words and unique words; providing a scoring of each text-based data based on the at least one of category words and unique words, and related sentiment words and/or expressions surrounding the at least one of category words and unique words; and outputting a summary of the plurality of text-based data based on the scoring.

Abstract: A system, method and computer program are disclosed that are adapted to detect a lateral brainstem response state development of a subject over a period of time as a function of a population of neurons evoked response patterns to sound stimuli. In these a sound stimuli generating unit is operative to repeatedly send a sound stimulus to the subject to evoke the neurons response patterns. The sound stimulus comprises a first and at least a second consecutive train of sounds pulses. A detection unit is operative to detect a brainstem response signal related to the neurons response patterns, wherein a first response signal is caused by the first train of sound pulses and a second response signal is caused by the second train of sound pulses. A storage unit may be included that is operative to store information based on the brainstem response signals.

Abstract: A device and a method for detecting a brain response state of a subject id disclosed. The detection comprises repeatedly presenting the subject with a sound stimulus for evoking a brain response. Detecting the evoked brain response signal related to each of said sound stimulus. Determining a window having a time width covering at least partly an area of at least one neuron's evoked response in the brain response signal. Calculating an average response signal over the window and comparing the at least one neuron's evoked response with the average response signal for determining a cellular variance and/or volatility.

Abstract: A system and method for detection of a brainstem disorder, such as schizophrenia, by means of brainstem audiometry is disclosed. A subject's (4) responses on the physical properties of sound; frequency, time and amplitude are being detected. Sound stimuli are being presented, via a communication element (2) through a hearing organ (3) to the subject. Elements (7) are attached to the subject (7) for measurement of the subject's electrophysiological brain activity. Simultaneously as the mentioned sound stimuli (1) are presented to the subject (4) a trig signal is sent out from the organ for generation of stimuli (1), via a trig box (5), further to an organ for registration (6) of the electro-physiological brain activity in the subject (4), whereafter mentioned electrophysiological brain activity is stored and imaged, in computer equipment (8) for determination of a brainstem disorder in the subject.

Abstract: Methods and systems for measuring depth of anaesthesia and/or perception of pain comprising using brainstem audiometry are described.

Abstract: A device and a method for detecting a brain response state of a subject id disclosed. The detection comprises repeatedly presenting the subject with a sound stimulus for evoking a brain response. Detecting the evoked brain response signal related to each of said sound stimulus. Determining a window having a time width covering at least partly an area of at least one neuron's evoked response in the brain response signal. Calculating an average response signal over the window and comparing the at least one neuron's evoked response with the average response signal for determining a cellular variance and/or volatility.

Abstract: A system, method and computer program are disclosed that are adapted to detect a lateral brainstem response state development of a subject over a period of time as a function of a population of neurons evoked response patterns to sound stimuli. In these a sound stimuli generating unit is operative to repeatedly send a sound stimulus to the subject to evoke the neurons response patterns. The sound stimulus comprises a first and at least a second consecutive train of sounds pulses. A detection unit is operative to detect a brainstem response signal related to the neurons response patterns, wherein a first response signal is caused by the first train of sound pulses and a second response signal is caused by the second train of sound pulses. A storage unit may be included that is operative to store information based on the brainstem response signals.

Abstract: A system and method for detection of a brainstem disorder, such as schizophrenia, using brainstem audiometry, is disclosed. A subject's (4) responses on the physical properties of sound, such as frequency, time and amplitude, are being detected. Sound stimuli are being presented, via a communication element (2) through a hearing organ (3) to the subject. Elements (7) are attached to the subject (4) for measurement of the subject's electrophysiological brain activity. Simultaneously as the mentioned sound stimuli (1) are presented to the subject (4) a trig signal is sent out from the organ for generation of stimuli (1), via a trig box (5), further to an organ for registration (6) of the electrophysiological brain activity in the subject (4), whereafter the electrophysiological brain activity is stored and imaged in computer equipment (8) for determination of a brainstem disorder in the subject.

Abstract: A system and method for detection of a brainstem disorder, such as schizophrenia, by means of brainstem audiometry is disclosed. A subject's (4) responses on the physical properties of sound; frequency, time and amplitude are being detected. Sound stimuli are being presented, via a communication element (2) through a hearing organ (3) to the subject. Elements (7) are attached to the subject (7) for measurement of the subject's electrophysiological brain activity. Simultaneously as the mentioned sound stimuli (1) are presented to the subject (4) a trig signal is sent out from the organ for generation of stimuli (1), via a trig box (5), further to an organ for registration (6) of the electro-physiological brain activity in the subject (4), whereafter mentioned electrophysiological brain activity is stored and imaged, in computer equipment (8) for determination of a brainstem disorder in the subject.