Abstract: A system including a light sensor and/or a sonic sensor and/or a radio wave sensor and a processor configured to receive input based on light and/or sonic frequency reflection and/or radio wave reflection captured by the respective sensor and analyze the received input to develop a data usable to control a sensory prosthesis based on the received input.

Abstract: Presented herein are techniques for generating, updating, and/or using a virtual hearing model associated with a recipient of an auditory prosthesis. The virtual hearing model is generated and updated for the recipient based on psychoacoustics data associated with the recipient and, in certain cases, based on psychoacoustics data gathered from one or more selected populations of auditory prosthesis recipients. The recipient-specific virtual hearing model can be used, in real-time, to determine one or more settings for the auditory prosthesis.

Abstract: A system, including a central processor apparatus configured to receive input from a plurality of sound capture devices, wherein the central processor apparatus is configured to collectively evaluate the input from the plurality of sound capture devices to identify at least one spatial location that is more conducive to hearing with a hearing prosthesis relative to another spatial location.

Abstract: A system is disclosed for acquiring and managing data regarding external IP (EIP) addresses of services offered in a trusted public cloud environment. The system monitors an application program interface of a service executing in a trusted public cloud environment for occurrence of an event that is related to an EIP of the service. When an event is detected, the system extract EIP related data and metadata of the service, generates a message with the extracted EIP data, and posts the message to a central message queue. The system monitors the message queue for the presence of a new message. Upon detecting a new message, the system processes the message, extracts EIP related data. metadata, and identifies an action. A central database that stores EIP related information of services executing in the trusted public cloud environment is updated based on the identified action.

Abstract: Presented herein are techniques for enabling a user of a wearable or implantable device to define noise sources for suppression/attenuation in an ambient environment. In particular, a plurality of devices within the ambient environment form a wearable or implantable system. The plurality of devices capture environmental signals (e.g., sound signals, visual signals, etc.) from the ambient environment and the system determines, from the environmental signals, one or more noise sources present in an ambient environment. The system is configured to determine at least one user-preferred noise source from the one or more noise sources for suppression (attenuation) and, accordingly, suppress the at least one user-preferred noise source within the environmental signals to generate noise-suppressed environmental signals. In certain examples, the system generates stimulation signals from the noise-suppressed environmental signals and the system delivers the stimulation signals to a user.

Abstract: Presented herein are predictive consultation techniques for use with medical devices. The techniques presented herein, sometimes referred to herein as “predictive medical device consultation techniques,” can include, for example, generation of one or more clinical predictions related to timing of future clinical appointments and/or one or more clinical predictions related to the selection of a medical device for the recipient.

Abstract: An apparatus includes voice activity detection (VAD) circuitry configured to analyze one or more audio broadcast streams and to identify first segments of the one or more broadcast streams in which the audio data includes speech data. The apparatus further includes derivation circuitry configured to receive the first segments and, for each first segment, to derive one or more words from the speech data of the first segment. The apparatus further includes keyword detection circuitry configured to, for each first segment, receive the one or more words and to generate keyword information indicative of whether at least one word of the one or more words is among a set of stored keywords.

Abstract: Presented herein are audio training techniques that facilitate the rehabilitation of a recipient of an auditory prosthesis. In certain embodiments, the audio training techniques presented herein may include real time training aspects in which the recipient's surrounding (ambient) auditory environment, including the sounds present therein, is analyzed in real time. The recipient can then be provided with a real time identity (e.g., audible or visible representation/description) of the sounds present in the auditory environment. The identity of the sounds can be provided to the recipient automatically and/or in response to recipient queries.

Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: Presented herein are audio training techniques that facilitate the rehabilitation of a recipient of an auditory prosthesis. In certain embodiments, the audio training techniques presented herein may include real time training aspects in which the recipient's surrounding (ambient) auditory environment, including the sounds present therein, is analyzed in real time. The recipient can then be provided with a real time identity (e.g., audible or visible representation/description) of the sounds present in the auditory environment. The identity of the sounds can be provided to the recipient automatically and/or in response to recipient queries.

Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: Presented herein are techniques for generating, updating, and/or using a virtual hearing model associated with a recipient of an auditory prosthesis. The virtual hearing model is generated and updated for the recipient based on psychoacoustics data associated with the recipient and, in certain cases, based on psychoacoustics data gathered from one or more selected populations of auditory prosthesis recipients. The recipient-specific virtual hearing model can be used, in real-time, to determine one or more settings for the auditory prosthesis.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: A method, including automatically obtaining data indicative of at least one of physiological features past and/or present of a person who experiences recurring tinnitus or ambient environmental conditions past and/or present of the person, analyzing the obtained data to determine at least one of that a tinnitus event is occurring or that a tinnitus event has a statistical likelihood of occurring in the near term and initiating a tinnitus mitigation method based on the action of analyzing.

Abstract: Presented herein are techniques for generating, updating, and/or using a virtual hearing model associated with a recipient of an auditory prosthesis. The virtual hearing model is generated and updated for the recipient based on psychoacoustics data associated with the recipient and, in certain cases, based on psychoacoustics data gathered from one or more selected populations of auditory prosthesis recipients. The recipient-specific virtual hearing model can be used, in real-time, to determine one or more settings for the auditory prosthesis.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: Presented herein are techniques for monitoring the sensory outcome of a recipient of a sensory prosthesis in an ambient environment that includes one or more controllable network connected devices. The sensory outcome of the recipient in the environment is used to make operational changes to the one or more controllable network connected devices in order to create an improved environment for recipient.

Abstract: A system is disclosed for acquiring and managing data regarding external IP (EIP) addresses of services offered in a trusted public cloud environment. The system monitors an application program interface of a service executing in a trusted public cloud environment for occurrence of an event that is related to an EIP of the service. When an event is detected, the system extract EIP related data and metadata of the service, generates a message with the extracted EIP data, and posts the message to a central message queue. The system monitors the message queue for the presence of a new message. Upon detecting a new message, the system processes the message, extracts EIP related data. metadata, and identifies an action. A central database that stores EIP related information of services executing in the trusted public cloud environment is updated based on the identified action.

Abstract: A method, including implementing a hearing prosthesis automated assistant on one or more computing devices having one or more processors and memory, the method including, at the one or more computing devices, at an input device, receiving hearing prosthesis recipient input, the input invoking the automated assistant, the input being indicative of a problem associated with a hearing prosthesis of the recipient, interpreting the received recipient input to derive a representation of recipient intent, identifying at least one task based at least in part on the derived representation of user intent, and causing a first output to be provided, the first output providing an attempted solution to the problem.

Abstract: A method, including the actions of obtaining access to a virtual reality system; activating a cochlear implant such that the cochlear implant evokes a hearing percept based on first input; and receiving second input from the virtual reality system in temporal proximity with the evocation of the hearing percept based on the first input, wherein the cochlear implant evokes a hearing percept based on the first input, and the second input is correlated with the first input.