The present disclosure provides an operating method of a brain imaging neurological abnormality prediction system, which includes steps as follows. The T1-weighted image and the diffusion-weighted image of the patient are acquired; the image process is performed on the T1-weighted image and the diffusion-weighted image to obtain a smoothed brain standard space infarction image; the smoothed brain standard space infarction image is multiplied by and a weighted image for a post-processing to obtain a post-weight image; the post-weight image is inputted to the deep learning cross validation classification model of transfer learning to predict whether the neurological abnormality occurs within a predetermined period after the patient's brain disease.

An illustrative optical measurement system includes a light source configured to emit a light pulse directed at a target. The optical measurement system further includes a control circuit configured to drive the light source with a current pulse comprising a non-linear rise, and a decline from a maximum output to zero having a duration within a threshold percentage of a total pulse duration of the current pulse.

A wearable computing device with bio-signal sensors and a feedback module provides an interactive mediated reality (“VR”) environment for a user. The bio-signal sensors receive bio-signal data (for example, brainwaves) from the user and include bio-signal sensors embedded in a display isolator, having a deformable surface, and having an electrode extendable to contact the user's skin. The wearable computing device further includes a processor to: present content in the VR environment via the feedback module; receive bio-signal data of the user from the bio-signal sensor; process the bio-signal data to determine user states of the user, including brain states, using a user profile; modify a parameter of the content in the VR environment in response to the user states of the user. The user receives feedback indicating the modification of the content via the feedback module.

An illustrative system includes a brain interface system configured to be worn by a user and to output brain measurement data representative of brain activity of the user while the user is engaged in an electronic messaging session provided by an electronic messaging platform and a computing device configured to obtain the brain measurement data, determine, based on the brain measurement data, a graphical emotion symbol representative of a mental state of the user while the user is engaged in the electronic messaging session, and provide the graphical emotion symbol for use during the electronic messaging session.

An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared. The images are displayed to a surgeon for use in surgery.

Provided is a biosignal measuring device 100 capable of easily calculating data on blood flow volume, blood flow velocity, and path length in the subject P as data for the time domain, and simplifying brain disease diagnosis based on this. It relates to a biosignal imaging device 1 and a brain image-based brain disease diagnosis system. To this end, the biosignal measuring apparatus 100 detects the reflected light signal after the light irradiated from the plurality of light irradiation units 111 and the plurality of light irradiation units 111 for irradiating light to the subject P are reflected. Based on the light signal detected by the measurement unit 110 including a plurality of light receiving units 112 and the light irradiation control unit 121 for controlling the light signal irradiated from each light irradiation unit 111 and the light receiving unit 112 and a calculation unit 120 including a signal processing unit 122 that calculates data for the subject P in the time domain.

A non-invasive optical measurement system comprises a two-dimensional array of photonic integrated circuits (PICs) mechanically coupled to each other. Each PIC is configured for emitting sample light into an anatomical structure, such that the sample light is scattered by the anatomical structure, resulting in physiological-encoded signal light that exits the anatomical structure. Each PIC is further configured for detecting the signal light. The non-invasive optical measurement system further comprises processing circuitry configured for analyzing the detected signal light from each of the PICs, and based on this analysis, determining an occurrence and a three-dimensional spatial location of the physiological event in the anatomical structure.

An interchangeable sensor device for a functional near-infrared spectroscopy system (fNIRS) is a non-invasive device intended to detect changes in the concentration of hemoglobin species on any body surface area. The device includes a plurality of measurement units having different elastic configurations, each intended to be adapted to a specific area of the body, and a control unit for controlling any of the measurement units. Each of the measurement units is equipped with a first connector and the control unit is equipped with a second connector, which connectors allow the control unit to be interchangeably connected to any of the measurement units.

A device is provided for diagnostic measurement by simultaneous multimodal analysis of a subject's head wherein the cerebral blood flow variations as well as the concentration level of oxygenation in the subject's blood are used to determine the presence and the pathophysiology of neurocognitive disorders, including the neurodegenerative disease referred to as Alzheimer's disease.

An illustrative calibration member made from a material that scatters light may be used to perform a calibration operation with respect to an optical measurement device having a plurality of light sources and a plurality of detectors distributed among a plurality of modules. The calibration member may form an exterior surface configured to support the optical measurement device and scatter photons of light emitted by the optical measurement device. The calibration operation may be performed based on arrival times of the scattered photons detected by the optical measurement device.