Abstract: In implementations of adaptive systems for continuous glucose monitoring (CGM), a computing device implements an adaptive system to receive glucose data describing user glucose values measured by a sensor of a CGM system, the sensor is inserted at an insertion site. The adaptive system accesses orientation data describing forces measured by an accelerometer of the CGM system, and the adaptive system identifies a location of the insertion site based on the orientation data. Modified glucose data is generated by modifying the user glucose values based on the location of the insertion site. The adaptive system generates an indication of the modified glucose data for display in a user interface of a display device.

Abstract: In implementations of systems for determining a similarity of sequences of glucose values, a computing device implements a similarity system to receive input data describing a sequence of user glucose values measured by a continuous glucose monitoring (CGM) system. The similarity system computes similarity scores for a plurality of sequences of glucose values by comparing each glucose values included in the sequence of user glucose values with ever glucose value included in each sequence of the plurality of sequences. A particular sequence of glucose values that is associated with a highest similarity score is identified. The similarity system determines an externality associated with the particular sequence. The similarity system generates an indication of the externality for display in a user interface.

Abstract: A method of providing artificial vision to a visually-impaired user implanted with a visual prosthesis. The method includes configuring, in response to selection information received from the user, a smart prosthesis to perform at least one function of a plurality of functions in order to facilitate performance of a visual task. The method further includes extracting, from an input image signal generated in response to optical input representative of a scene, item information relating to at least one item within the scene relevant to the visual task. The smart prosthesis then generates image data corresponding to an abstract representation of the scene wherein the abstract representation includes a representation of the at least one item. Pixel information based upon the image data is then provided to the visual prosthesis.

Abstract: Retinal prostheses are configured to apply retinal stimulus signals based on retinal cell classification such as cell types or cell clusters identified based on retinal cell signals. Cell types are identified based on spontaneous or induced retinal electrical signals and analyzed based on temporal patterns of electrical activity, spatio-temporal voltage waveforms, and signal correlations that can be obtained from temporal spike patterns. Cell type indications are stored, and a signals are applied to the retina based on the stored cell type indications.

Abstract: A method of providing artificial vision to a visually-impaired user implanted with a visual prosthesis. The method includes configuring, in response to selection information received from the user, a smart prosthesis to perform at least one function of a plurality of functions in order to facilitate performance of a visual task. The method further includes extracting, from an input image signal generated in response to optical input representative of a scene, item information relating to at least one item within the scene relevant to the visual task. The smart prosthesis then generates image data corresponding to an abstract representation of the scene wherein the abstract representation includes a representation of the at least one item. Pixel information based upon the image data is then provided to the visual prosthesis.

Abstract: Retinal prostheses are configured to apply retinal stimulus signals based on retinal cell classification such as cell types or cell clusters identified based on retinal cell signals. Cell types are identified based on spontaneous or induced retinal electrical signals and analyzed based on temporal patterns of electrical activity, spatio-temporal voltage waveforms, and signal correlations that can be obtained from temporal spike patterns. Cell type indications are stored, and a signals are applied to the retina based on the stored cell type indications.

Abstract: A method and apparatus for applying electrical signals in specific spatial patterns to selectively activate sensory cells. The method comprises interfacing a population of cells with two or more electrodes, identifying target cells within the population to activate by electrical signals; and applying electrical signals in a spatial pattern to the population via the electrodes, such that the target cells are selectively activated in the desired spatial pattern.