A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

An augmented reality AR system and method for a retail experience include a waveguide apparatus that includes a planar waveguide and at least one optical diffraction element The AR retail system and method recognizes user location in a retail establishment, retrieves data corresponding to the retail establishment and generates virtual content relating to the retail establishment based on the retrieved data. The AR retail system and method creates a virtual user interface in a user's field of view. Virtual content is displayed on the virtual user interface while the user is engaged in retail activity and may be based on user input. The AR retail system and method may provide entertainment, facilitate the shopping experience, offer virtual coupons, render games based on locations throughout a store or based on a shopping list, provide information about food choices such as calorie counts, and identify metadata associated with items.

An augmented reality AR system and method for a retail experience include a waveguide apparatus that includes a planar waveguide and at least one optical diffraction element The AR retail system and method recognizes user location in a retail establishment, retrieves data corresponding to the retail establishment and generates virtual content relating to the retail establishment based on the retrieved data. The AR retail system and method creates a virtual user interface in a user's field of view. Virtual content is displayed on the virtual user interface while the user is engaged in retail activity and may be based on user input. The AR retail system and method may provide entertainment, facilitate the shopping experience, offer virtual coupons, render games based on locations throughout a store or based on a shopping list, provide information about food choices such as calorie counts, and identify metadata associated with items.

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

The present invention provides an asymmetric EEG-based coding and decoding methods for BCIs, the BCI system includes an evoked stimulus module, an acquisition module and an EEG signal data set including a training set X.sub.k and a testing sample Y, and an EEG signal decoding module; the evoked stimulus module sends a hybrid coding visual stimulus to subjects to evoke a specific EEG signal as required; the acquisition module obtains data information by amplifying and filtering the EEG signal so as to constitute EEG signal module; the decoding module coverts the data information into an instruction set for outputting the coding method of the present invention uses asymmetric characteristics of brain electrophysiological activity response to stimulus, combines with coding strategies such as SDMA, CDMA, FDMA and phase division multiple access coding.

A system for monitoring biometric signals of a user comprising: a garment configured to be worn by the user and comprising a mounting module having an array of connection regions; a set of biometric sensors coupled to the garment and configured to communicate with the array of connection regions to receive and transmit biometric signals indicative of muscle activity of the user; and a portable control module configured to couple to the garment in a first configuration and to decouple from the garment in a second configuration and comprising: a housing comprising an array of openings; a set of contacts, each including a first region that seals at least one of the array of openings and couples to at least one of the array of connection regions in the first configuration, and an electronics subsystem coupled to the housing and in communication with a second region of each contact.

A method for graphically displaying evoked potentials is disclosed herein. The method transforms each of an averaged evoked potentials into a single vertical line, wherein a first amplitude range is represented by a first color, a second amplitude range is represented by a second color, a third amplitude range is represented by a third color and a fourth amplitude range is represented by a fourth color.

One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction. The streams may be from multiple people and applied to an individual person.

A measuring apparatus (100) is provided for fitting to an animal body for measuring changes in concentration of a chromophore in the animal body. The measuring apparatus (100) has a plurality of devices (120). Each device (120) has a light source (122) for emitting light towards an animal body and a light detector (124) for detecting light returning from the said animal body. A device controller (126) receives signals from and sends signals to a main controller (160). The device controllers (126) of the plural devices (120) are respectively connected to a connection arrangement (150).