Abstract: A computer implemented method and system is used for evaluating an intensive EEG or an EEG during anaesthesia. Time domain and/or frequency range parameters are determined from the EEG graphs. The determined parameters are used in multivariate classification functions and the intensive EEG or EEG during anaesthesia are automatically divided into stages. The EEG graphs are also analysed for interfering signal components from the quantity of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia. If interfering signal components are identified, the existence of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia is verified by artifact analysis in the absence of artifacts, and is not verified if artifacts are identified.

Abstract: A system or method can facilitate source localization of brain electrical activity. In one example, an expert system can be utilized to evaluate the source localization results and, based on the acceptability of the results, adjust a data preparation phase to provide for acceptable source localization.

Abstract: An auditory event-related potential measurement system includes: a video output section configured to present a video to a user; a measurement section configured to measure a user's electroencephalogram signal; a scheduling section configured to schedule a timing of presenting an auditory stimulation so that the auditory stimulation is presented during a period in which the video is being presented to the user; an auditory stimulation output section configured to present the auditory stimulation to the user at the scheduled timing; and a processing section configured to acquire, from the electroencephalogram signal, an event-related potential in a first time range as reckoned from a point in time at which the auditory stimulation is presented. When an amount of video luminance change exceeds a threshold value, the auditory stimulation is not presented during a second time range as reckoned from a point in time at which the threshold value is exceeded.

Abstract: Methods, systems, and apparatus for detecting the seizure in a patient using a medical device. The determination is performed by collecting cardiac data determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure.

Abstract: A method and system for a user interface for artifact removal in an EEG is disclosed herein. The invention allows an operator to select a plurality of artifacts to be automatically removed from an EEG recording using a user interface. The operator pushes a button on the user interface to apply a plurality of filters to remove the plurality of artifacts from the EEG and generate a clean EEG for viewing.

Abstract: In an electroencephalogram recording apparatus: a classification section classifies a collected sound into one of categories concerning sound pressure; an accumulation determination section determines whether or not to record an electroencephalogram of a user based on whether a number of times of data accumulation has reached a target value for the category into which the sound is classified; and an accumulation section accumulates an electroencephalogram data and a sound data in association if the electroencephalogram data is determined to be recorded. A first value is designated as a target value for a first category into which sounds of an expected minimum value are classified. A second value is designated as a target value for a second category into which any sound having a sound pressure greater than the minimum value is classified. The accumulation determination section sets the first value to be equal to or greater than the second value.

Abstract: At least one of a medical device, such as an implantable medical device, and a programming device determines values for one or more metrics that indicate the quality of a patient's sleep. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. In some embodiments, determined sleep quality metric values are associated with a current therapy parameter set. In some embodiments, a programming device presents sleep quality information to a user based on determined sleep quality metric values. A clinician, for example, may use the sleep quality information presented by the programming device to evaluate the effectiveness of therapy delivered to the patient by the medical device, to adjust the therapy delivered by the medical device, or to prescribe a therapy not delivered by the medical device in order to improve the quality of the patient's sleep.

Abstract: A method of building classifiers for multimodal neurological assessment is described. The method comprises the steps of extracting quantitative features from a plurality of physiological and neurocognitive assessments, and selecting a subset of features from the extracted pool of features to construct multimodal classifiers. A device for performing point-of-care multimodal neurological assessment is also described.

Abstract: A method for separating signal sources by use of physically unique dictionary elements. The method is particularly advantageous for separating cerebral from artifactual sources in electroencephalographic (EEG) recording, making use of dictionary element pattern recognition methods that are tuned to the unique physical properties of each source domain.

Abstract: A pulse wave detection device that includes a piezoelectric transducer acquiring the velocity pulse wave of a test subject and an information processing unit that processes the acquired velocity pulse wave and selectively detects regular velocity pulse wave data. The information processing unit acquires a differential waveform, extracts the extreme value of the velocity pulse wave, calculates the area value of a domain surrounded by the differential waveform and a reference line, compares the previous value and the current value of the extreme value with each other with respect to the velocity pulse waves chronologically adjacent to each other when the area value is greater than or equal to a predetermined value, and determines that the two velocity pulse waves are regular velocity pulse wave data when a difference between the two extreme values is less than or equal to a predetermined value.

Abstract: Systems and methods for treating pain are described. Systems and methods for treating pain using video games, tilt tables and bio-sensors are described wherein the level of the video game is controlled by a computer based on the feedback from a patient. Corresponding systems are also disclosed.

Abstract: A system is disclosed for wirelessly detecting movement of a target. The system comprises a reference oscillator, a transmitter, a receiver, a demodulator, and a processor, wherein: the reference oscillator generates references frequencies for the transmitter, the receiver, and the demodulator; the transmitter generates a continuous-wave signal at a frequency based on the transmitter reference frequency and wirelessly transmits it to the target; the receiver wirelessly receives a reflected signal from the target having a phase angle corresponding to movement of the target and converts the reflected signal into an intermediate frequency signal based on the receiver reference frequency; the demodulator demodulates the intermediate frequency signal into an in-phase component and a quadrature component; and the processor converts the in-phase component and the quadrature component into a movement signal corresponding to movement of the target.

Abstract: A device (10) for the non-invasive determination of arterial blood pressure of a human or animal body, comprising at least a bioimpedance measuring device (20) having a plurality of electrode pairs (21, 22, 23) for capturing the admittance signals (Y(t)) caused by an impressed alternating current on at least one first section of the body, wherein the captured admittance signals (Y(t)) correspond to a composite signal made of signal components of a pulse admittance (YP(t)), a respiration admittance (YB(t)) as well as a base admittance (Y0(t)), as well as at least one device for the non-invasive measurement of the blood pressure (30), wherein a processor (40) of the device (10), which separates from the admittance measurement signals (Y(t)), which are received by the bioimpedance measuring device (20) from several electrode pairs (21, 22, 23) arranged at a distance from each other on at least one first section of the body, wherein the measurements are carried out multiple times, each time using electrode pairs

Abstract: Systems and methods for brain stimulation.

Abstract: An annoyance judgment system includes: a biological signal measurement section configured to measure an electroencephalogram signal of a user; a database retaining a plurality of monosyllabic speech sounds such that, for each speech sound, the speech sound and a reference latency of an electroencephalogram negative component corresponding to the speech sound are retained in association; a presented-speech sound determination section configured to determine a monosyllabic speech sound to be presented by referring to the database; and an annoyance judgment section configured to judge annoyance of the output speech sound by comparing a peak latency of a negative component of the electroencephalogram signal in a range from 50 ms to 350 ms from a starting point, the a starting point being a point in time at which the determined speech sound is presented, against the reference latency corresponding to the determined speech sound that is retained in the database.

Abstract: A device and method for generating a representation of a subject's attention level. The device measures brain signals from the subject; extracts temporal features from the brain signals; classifies the extracted temporal features using a classifier to give a score X1; extracts spectral-spatial features from the brain signals; selects spectral-spatial features containing discriminative information between concentration and non-concentration states from the set of extracted spectral-spatial features; classifies the selected spectral-spatial features using a classifier to give a score X2; combines the scores X1 and X2 to give a single score; and presents the score to the subject.

Abstract: A blood pressure meter includes an adjustment unit that adjusts a pressure in a cuff by controlling a piezoelectric pump that uses a piezoelectric vibrator to supply fluid to the cuff, a driving control unit that gradually changes a cuff pressure by performing driving control on the adjustment unit, a pressure detection unit that detects the cuff pressure, a blood pressure determination unit that determines a blood pressure value, a circumferential length detection unit that detects a circumferential length of the measurement area, a battery that supplies power to various units, and a decrease detection unit that detects a voltage decrease value for the battery during blood pressure measurement. Based on the circumferential length and the voltage decrease value detected in an initial inflation period when the blood pressure measurement is first started, a range of the voltage decrease value during blood pressure measurement carried out thereafter is estimated.

Abstract: The determination system includes a presented-speech sound control section for determining a speech sound to be presented to a user; auditory/visual stimulation presentation sections for presenting the determined speech sound as an audio/a character; a group-wise summation section for taking a summation of an event-related potential of an electroencephalogram signal of the user for each group of speech sounds; a first determination section for, from the event-related potential having been subjected to summation for each group, making a group-by-group determination of comfortableness as to whether the user is comfortably hearing to the speech sound, to at least determine whether the user is listening to the speech sound with strife, or to determine whether the user is annoyed by the speech sound; and a second determination section for, from the event-related potential, making a speech sound-by-speech sound determination of intelligibility as to whether the user is clearly hearing the speech sound.

Abstract: A method and system for motor learning. The method comprises the steps of detecting a user's motor intent; and giving robotic assistance to the user for executing a motor task associated with the motor intent based on the detected motor intent.

Abstract: A method includes obtaining both first inflow and first perfusion metrics for non-healthy tissue of interest, obtaining both second inflow and second perfusion metrics for healthy tissue of interest, and concurrently presenting both the first flow and perfusion metrics for the non-healthy tissue of interest and both the second flow and perfusion metrics for the healthy tissue of interest.