Methods, devices, systems, and non-transitory processor-readable storage media are disclosed for determining one or more biometric properties of a subject using multiple sensors positioned along a flexible backing. At least one processor of the multi-sensor device may be configured to receive output signals from the multiple sensors, identify at least one output signal from the received output signals that exhibit measurements of a targeted biological structure, determine the one or more biometric properties of the subject based on the identified at least one output signal received from at least one of the multiple sensors, and provide the determined one or more biometric properties.

An apparatus and a method is provided for detecting biometric signals of a driver and classifying the driver into a normal state or a fatigued state based on the biometric signals. An apparatus may include: a biometric signal measuring part configured to measure the biometric signals including a blood flow rate of a brain of the driver using an electro-encephalography (EEG), an electro-cardiography (ECG), and a functional near-infrared spectroscopy (fNIRS) of the driver; a biometric signal integral part configured to integrate the measured biometric signals, to extract characteristics of the respective biometric signals from the measured biometric signals and to then integrate the extracted characteristics, or to classify the extracted characteristics of the biometric signals and to then integrate the classified characteristics; and a driver state detecting part configured to detect the state of the driver based on the integrated biometric signals.

An active skull replacement system including an implant having an area A, an upper surface, and a bottom surface, adapted to be implanted at least in part into a skull of a subject so to substitute a portion of the skull, the bottom surface arranged to face at least in part a cranial cavity, and having a first wireless bidirectional data communication device, a device operably connected to the bottom surface of the implant, the device adapted to at least one of stimulate a physiological response and record a physiological parameter of the subject, and an external reader adapted to be placed on the scalp of the subject and including a second wireless bidirectional data communication device configured to communicate with the first wireless bidirectional data communication device of the implant to operate the device, wherein the external reader and the implant are fixed and aligned among each other through a magnetic device.

Provided is a cognitive function testing system capable of efficiently and objectively measuring cognitive functions related to, for example, ADHD and easily collecting detailed data. In addition, a cognitive function estimation system is provided to enable estimating and determining the probability of an individual having a disorder such as ADHD after the cognitive functions related to, for example, ADHD have been efficiently and objectively measured. In contrast to the conventional Stroop interference test that uses paper, one problem is displayed on one screen, and not only the correctness result of the problem for the test subject, but also coordinate information for when the test subject responds by manipulating a touch panel display, are recorded in a problem answer table. Furthermore, an estimation calculation based on a learning algorithm can be used to estimate the degree of cognitive function of the test subject.

An instrumentation amplifier that includes input capacitance cancellation is provided. The architecture includes programmable capacitors between the input stage and a current feedback loop of the instrumentation amplifier to cancel input capacitances from electrode cables and a printed circuit board at the front end. An on-chip calibration unit can be employed to calibrate the programmable capacitors and improve the input impedance.

Cortical entrainment device (CED) and associated methods are provided. The CED device includes an electroencephalographic (EEG) analysis module configured to receive and process an EEG waveform for analyzing brain activity of a patient with epilepsy or a seizure disorder; an interictal epileptiform discharge (IED) analysis module configured to receive and process an IED waveform for analyzing the brain activity of the patient; and a diagnostic module that is configured to interface with the EEG analysis module and the IED analysis module, to evaluate spectral and temporal waveform characteristics, and to provide instructions to a therapy module for providing a stimulus for the patient based on the analysis by the EEG analysis module and the IED analysis module.

A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.

Embodiments of the present disclosure provide techniques and configurations for an apparatus for a user's physiological context measurements. In one instance, the apparatus may include a processing block and first and second piezoelectric sensors coupled with the processing block. The first and second sensors may include respectively first and second electrodes to provide contact with a user's body in response to mounting of the apparatus on the user's body. The processing block may comprise a multi-modal sensing system configured to perform measurements of a user's physiological context during the contact of the user's body with the first and second electrodes, based at least in part on a voltage signal generated by the user's body and provided to the processing block via the first and second electrodes. Other embodiments may be described and/or claimed.

There are disclosed systems and methods for seizure diagnosis by video electroencephalography (Video-EEG). There is disclosed a fully automated, portable, point-of-care diagnostic video EEG device. In an embodiment, the device includes a tracker configured for placement on a patient. The tracker has a set of sensors disposed thereon. An EEG headset is configured for detecting electrical activities of a brain of the patient. The EEG headset is configured for communicating the electrical activities of the brain of the patient. A telescoping stand provides built-in sensors. A mobile computing device is in communication with the built-in sensors and in communication with the EEG headset. A set of wheels provides controlled movement of the telescoping stand. Other embodiments are also disclosed.

Techniques and systems for communicating information via a computer-implemented agent are described. A computing device may obtain sensor data of an individual, such as visual data, audible data, physiological data, or combinations thereof. An emotional state of the individual may be determined based on the sensor data. A communications framework may be identified based on the emotional state of the individual. The communications framework may indicate a manner in which the computer-implemented agent communicates information to the individual. For example, the communications framework may specify voice features, facial features, body language, positioning in the environment, or combinations thereof, that may be utilized to produce a representation of a computer-implemented agent that communicates information to the individual. In some cases, the individual may provide feedback indicating a preference to have the computer-implemented agent communicate information in a different manner.