Disclosed is an endoscopic imaging system, comprising a camera, a plurality of GRIN lenses, a processor, and a memory. Each GRIN optical lens can have a first end configured to be inserted into a cavity of a subject and receive light reflected from a point of interest in the cavity of the patient and a second end configured to transmit the light to the camera. The light can be representative of a distinct image of a perspective view of the point of interest relative to the respective GRIN optical lens. The system can: generate image data corresponding to the light received from each of the plurality of GRIN optical lenses; deconvolve the image data to generate deconvolved image data representative of the distinct images; and generate, using the deconvolved image data, 3D image data representative of a 3D image of the point of interest.

A computing device includes: an input configured to be coupled to, or carried by, a user of a hearing device, the hearing device configured to receive sound from an environment defined by an acoustic scene; one or more memory units; and one or more processing units; wherein the one or more sensors are configured to measure a stress parameter related to stress of the user, the stress parameter being related to the acoustic scene; wherein the computing device is configured to obtain the measured stress parameter; and wherein the one or more processing units of the computing device comprise a program configured to determine an indication of stress of the user based on at least the stress parameter.

A device, system, and method for facilitating a sleep cycle in a subject during a pandemic or peri COVID vaccination period, comprising determining a current awake or sleep stage of a person; automatically defining a desired sleep cycle pattern, dependent on the current awake or sleep stage of the person; generating an audio or optical stimulation pattern by an automated processor; and entraining brainwaves of the brain of the person with the stimulation pattern corresponding to the desired sleep cycle pattern, to thereby induce a sleep cycle in the person according to the sleep cycle pattern. When sleep patterns are normalized, a SARS-Cov-2 vaccination may be administered to the person.

A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

A method and software program is used by patients for fitting and refitting of a DSP-based hearing assistance device. An audiologist user interface and patient user interface include soundmaps and slidebars to control collections of hearing parameters within the DSP of the device. Based on cognitive testing and training of the patient, the range of adjustment allowed within at least the patient user interface is limited. The software therefore always maintains 100% safety for the patient and/or user to finetune the hearing aid parameters without worrying about selecting parameter values which would leading to slowing the cognitive learning of the patient.

Embodiments of the present disclosure identify and alert a clinician to physiological cues thereby aiding the clinician in providing a better fitting of a medical prosthesis. Physiological data of a recipient of a medical prosthesis is analyzed to identify triggers during fitting or other types of adjustments to the prosthesis. A determination is then made as to whether the identified triggers correspond to a feedback event. If the triggers correspond to a feedback event, an alert containing information about the feedback event is generated and displayed or otherwise made available to the clinician.

A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

Embodiments of the present disclosure identify and alert a clinician to physiological cues thereby aiding the clinician in providing a better fitting of a medical prosthesis. Physiological data of a recipient of a medical prosthesis is analyzed to identify triggers during fitting or other types of adjustments to the prosthesis. A determination is then made as to whether the identified triggers correspond to a feedback event. If the triggers correspond to a feedback event, an alert containing information about the feedback event is generated and displayed or otherwise made available to the clinician.

A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

A method and software program is used by patients for fitting and refitting of a DSP-based hearing assistance device. An audiologist user interface and patient user interface include soundmaps and slidebars to control collections of hearing parameters within the DSP of the device. Based on cognitive testing and training of the patient, the range of adjustment allowed within at least the patient user interface is limited. The software therefore always maintains 100% safety for the patient and/or user to finetune the hearing aid parameters without worrying about selecting parameter values which would leading to slowing the cognitive learning of the patient.