Methods, system and apparatus for identifying an extreme epileptic state/event in a patient are provided. In one aspect, at least two seizure events are identified. At least one inter-seizure interval (ISI) value related to the at least two seizure events are determined. The ISI value is compared to at least one reference value. An occurrence of an extreme seizure event is determined based upon the comparison of the determined ISI value to the at least one reference value. In another aspect, a first seizure event is detected. At least one body index affected by the first seizure event is determined. A second seizure event is detected. An occurrence of an extreme seizure event is determined based at least in part in response to a determination that the second seizure event occurred prior to the body index value returning to a reference value.

A biological information displaying apparatus according to an embodiment includes a picture obtaining apparatus and a processor. The picture obtaining apparatus obtains a picture signal of a predetermined site of a subject as a moving image. The processor generates a hue moving image by extracting a luminance or an image-based photoplethysmogram (iPPG) related to a pulse wave for each pixel of the moving image and assigning a hue in accordance with a value of luminance information or iPPG information. The processor displays the generated hue moving image such that the hue moving image is superimposed on an image of the subject.

A vehicle rest evaluation device for a vehicle includes a computer. The computer includes a biological information acquirer, an evaluation value calculator, and a notification controller. The biological information acquirer is configured to acquire biological information of a user who rests in the vehicle. The evaluation value calculator is configured to calculate, based on the biological information, an evaluation value for evaluating a balance of an autonomic nervous system of the user. The notification controller is configured to make a comparison between a first evaluation value calculated by the evaluation value calculator and a second evaluation value calculated at a different timing from the first evaluation value and notify the user of a result of the comparison.

Included are: an averaging processing unit configured to acquire video data of a facial image captured of a face of a target person and average all pixels in a specific region of the acquired video data, at regular time intervals, in terms of a difference component between color components of primary colors in the specific region; a fluctuation acquisition unit configured to obtain a fluctuation in each of the color components of the primary colors averaged by the averaging processing unit; and a detection unit configured to detect a blood flow or an activity based on the blood flow on the basis of an amount of fluctuation obtained by the fluctuation acquisition unit. This makes it possible to easily, in a non-contact manner, highly accurately detect the blood flow and detect an activity such as an autonomic nervous activity without preparing a special device.

The present disclosure describes a system for detecting abnormal blood pressure or blood volume in a user, the system comprising a processing system; a pulse transit time (PTT) detection system for providing a PTT signal indicative of a PTT of the user to the processing system, wherein PTT of the user is used as a surrogate for a blood pressure (BP) of the user; and an electrodermal activity (EDA) detection system for providing an EDA signal indicative of an EDA of the user to the processing system; wherein the processing system processes the PTT signal and the EDA signal to determine an index indicative of an abnormal blood pressure or blood volume of the user.

Methods, systems, and apparatus for assessing a state of an epilepsy disease or a comorbidity thereof are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of an epilepsy disease or a body system of the patient based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided.

The sympathetic nervous signal sensing system includes an electrode pair, a high input impedance receiving circuit, a differential circuit, and a post-processing circuit. The electrode pair is arranged on a target and includes a first electrode configured to receive a first signal and a second electrode configured to receive a second signal. The high input impedance receiving circuit includes a first follower configured to receive a first signal and output a third signal, and a second follower configured to receive a second signal and output a fourth signal. The differential circuit is configured to perform differential processing on the third signal and the fourth signal to generate a fifth signal. The post-processing circuit is configured to filter the fifth signal according to a first filtering frequency band to output a sympathetic nervous signal.

Provided is a medical system and method for neuromonitoring based on a biosignal. The medical system includes a computing system and performs the method for neuromonitoring based on a biosignal. The method includes monitoring and analysing the biosignal for localizing autonomic nerves associated with a stimulus-induced muscle reaction of smooth muscles of a target organ. The analysing step includes performing time-domain signal analysis of the biosignal to obtain time-domain signal characteristics; performing time-frequency-domain signal analysis of the biosignal to obtain time-frequency-domain signal characteristics; and determining, based on the time-domain signal characteristics and the time-frequency-domain signal characteristics, whether the biosignal is representative of a stimulus-induced muscle reaction. The method further includes outputting an indication that the stimulus-induced muscle reaction has been detected based on determining that the biosignal is representative of the stimulus-induced muscle reaction.

A neurological state of a subject is accurately evaluated, and an evaluation result suitable for the subject is provided. A pupil index calculation unit generates waveform data of a pupil area based on a moving image in which a pupil of the subject is captured with a distortion-corrected lens, and then calculates a pupil index. The neurological state estimation unit estimates a sympathetic neural age and a parasympathetic neural age, which are neurological states for each of the left and right pupils of the subject, based on the pupil index. A comment generation unit evaluates the neurological state of the subject from the estimated neurological state, and the improvement measure generation unit generates advice suitable for the subject based on the evaluation result. A display unit displays the evaluation result of the neurological state and the advice in a neurological state evaluation system.

The invention presents an electrodermal apparatus comprising at least two electrodes (10), each of which is configured to be in contact with a dermal region, and an electronic circuit comprising an analog-to-digital converter and a processor that is configured to execute computer-executable instructions in order to bias the electrodes (10), to measure the current flowing between pairs of electrodes (10), to apply digital preprocessing to the measured electrical signals and to determine the conductance of the dermal layer, wherein the sensor further comprises an accelerometer, delivering electrical signals to the processor, the preprocessing taking into account the level of the signals that are delivered by the accelerometer.