The present disclosure provides a brain wave analysis device with a computation section configured to compute a first ratio and a second ratio from a spectrum obtained by performing frequency analysis on time-series data of brain waves measured at a predetermined location of a head of a subject.

A method for obtaining foot analysis data for a manufacture of an insole, comprising: subjecting at least one foot of a person to a three-dimensional (3D) scanning apparatus (200); performing a first 3D scanning of a shape of the foot, wherein the person is standing in a straight position (202); performing a second 3D scanning of the shape of said foot, wherein the person provides excess pressure on the foot by squatting (204); and performing a third 3D scanning of the shape of said foot, wherein toes of the foot are lifted up (206).

Disclosed are a method and an apparatus for rehabilitation training of a cognitive function. A method for rehabilitation training of a cognitive function may comprise the steps of: performing a cognitive function test by a cognitive rehabilitation service server; receiving a cognitive function test result of the cognitive function test by the cognitive rehabilitation service server; determining a rehabilitation method matching the cognitive function test result, by the cognitive rehabilitation service server; and providing a user device with a rehabilitation content according to the rehabilitation method so as to perform rehabilitation training, by the cognitive rehabilitation service server.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

Technology described herein relates to extended monitoring and analysis of subject neurological factors via blepharometric data collection, for example, including devices and processing systems configured to enable such extended monitoring. This may include hardware and software components deployed at subject locations (for example, in-vehicle monitoring systems, portable device monitoring systems, and so on), and cloud-based hardware and software (for example, cloud-based blepharometric data processing systems. The technology allows for user blepharometric data to be collected across a plurality of monitoring sessions, in some cases via different collection technologies, thereby to analyze changes over time. For example, this can assist in identifying risks of degenerative neurological conditions.

There is provided a computer-implemented method for analysing echocardiograms, the method comprising: obtaining (302) a plurality of pairs of consecutive echocardiograms for a plurality of subjects from a database (200), each echocardiogram having an associated indication of the content of the echocardiogram; analysing (304) each pair of consecutive echocardiograms to determine an associated class, the class indicating whether there is a change or no change between the consecutive echocardiograms in the pair; for each pair of consecutive echocardiograms, determining (306) an abstract representation of each echocardiogram by performing one or more convolutions and/or reductions on the echocardiograms in the pair, the abstract representation comprising one or more features indicative of the class of the pair; and training (308) a predictive model to determine a class for a new pair of echocardiograms based on the abstract representations for the plurality of pairs of consecutive echocardiograms.

A process for more sensitive characterization of tissue composition for generating a quantitative MRI (qMRI) map and corresponding delta analysis. Intervertebral disc degeneration (IVDD), resulting in the depletion of hydrophilic glycosaminoglycans (GAGs) located in the nucleus pulposus (NP), can lead to debilitating neck and back pain. Magnetic Resonance Imaging (MRI) is a promising means of IVD assessment due to the correlation between GAG content and MRI relaxation values. T1 and T2 relaxation data were obtained from healthy cervical IVDs, and relaxation data was modeled using both conventional and stretched exponential (SE) decays. Normalized histograms of the resultant quantitative MRI (qMRI) maps were fit with stable distributions. SE models fit relaxation behavior with lower error compared to monoexponential models, indicating anomalous relaxation behavior in healthy IVDs. SE model parameters T1 and T1 increased with IVD segment, while conventional monoexponential measures did not vary. The improved model fit and correlation between both SE T1 and T1 with IVD level suggests these parameters are more sensitive biomarkers for detection of GAG content variation.

A monitor is arranged on the opposite side of a surgery table to a main doctor so that an assistant is able to view a surgery area directly without being blocked by the monitor. A camera has a working distance of more than or equal to 60 cm and is therefore above a view field for the main doctor to view the monitor, so that the visibility of the monitor is not hindered. The working distance is not more than 100 cm so that the resolution of the camera is not lowered too much.

A patient stabilization system includes a stabilization base and a plurality of wheels mounted to the stabilization base. The plurality of wheels is configured to move the stabilization base along a surface. The patient stabilization system also includes a locking mechanism configured to selectively restrain movement of the stabilization base with respect to the surface, a column portion extending upwards from the stabilization base, and at least one arm. A proximal portion of the at least one arm is coupled to the column portion. Further, the patient stabilization system includes an adaptor coupled to a distal portion of the at least one arm. The adaptor is configured to couple to a patient fixation apparatus secured to an anatomical feature of a patient, and the patient stabilization system is configured to anchor the patient fixation apparatus to the surface in a secured state.