Starkey Laboratories, Inc.

Jason Alan Galster

Justin R Burwinkel

Buye Xu

Jay M Stewart

Peter J Tetrick

Sourav Bhunia

Carlos Renato Nakagawa

Jingjing Xu

Sahar Akram

Kenneth Kragh Jensen

Adriana Goyette

Peggi S Cross

Martin Mckinney

Various embodiments of a predictive fall event management system and a method of using such system are disclosed. The system includes a body-worn device and a controller operatively connected to the body-worn device. The controller is adapted to receive physiological data representative of a physiological characteristic of a wearer of the body-worn device over a monitoring time period; receive contextual data representative of context information of the wearer over the monitoring time period; and determine one or more future physiological states or contextual states based at least in part on one or more of the physiological data and the contextual data. The controller is further adapted to determine, for a future time, whether a fall condition is satisfied based upon the one or more future physiological states or contextual states and generate a fall prevention output responsive to satisfaction of the fall condition.

Predictive fall event management system and method of using same

A hearing assistance device adapted to be worn by a wearer comprises a processor configured to generate a sequence of audio cues that audibly guide the wearer through a series of actions involving the wearer's head and neck in accordance with a predetermined corrective or therapeutic maneuver. A speaker is configured to play back the sequence of audio cues for reception by the wearer. One or more sensors are configured to sense movement of the head during each of the actions. The processor is configured to determine if head movement for an action associated with each audio cue has been correctly executed by the wearer, and produce an output indicative of successful or unsuccessful execution of the actions by the wearer.

Hearing assistance device incorporating virtual audio interface for therapy guidance

Various embodiments of a fall prediction system and method of using such system are disclosed. The system includes a hearing device for a user, a sensor operatively connected to the hearing device and adapted to detect a characteristic of the user and generate a sensor signal based on the characteristic, an accessory operatively connected to the hearing device, and a controller operatively connected to the hearing device. The controller is adapted to determine a fall risk value based on the sensor signal, compare the fall risk value to a fall risk threshold, and generate a fall prevention output if the fall risk value exceeds the fall risk threshold.

Fall prediction system including an accessory and method of using same

Various embodiments of a beacon that can be utilized with a fall prediction system and a method of utilizing such system are disclosed. The fall prediction system includes a head-worn device for a user, a beacon adapted to detect a hazard and generate a beacon signal based on the detected hazard, and a controller operatively connected to the head-worn device and the beacon. The controller is adapted to determine a fall risk value based on the beacon signal. At least one of the beacon and the controller are further adapted to transmit the beacon signal to the user.

Fall prediction system including a beacon and method of using same

A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

Efficient wellness measurement in ear-wearable devices

Various embodiments of a fall prediction system and method of using such system are disclosed. The system includes a hearing device for a wearer, a sensor operatively connected to the hearing device and adapted to detect a characteristic of the wearer and generate a sensor signal based on the characteristic, and a controller operatively connected to the hearing device. The controller is adapted to determine a fall risk value based on the sensor signal, compare the fall risk value to a fall risk threshold, and generate a fall prevention output if the fall risk value exceeds the fall risk threshold.

Fall prediction system and method of using the same

The present disclosure relates to the inclusion of amplitude compression inside a hearing aid remote microphone or audio streaming device. Compressor design is improved by using one local and one remote compressor operating in parallel. The subject matter will reference remote microphones as the primary use case. In one embodiment, hearing aid microphone audio and remote microphone audio are treated as two separate streams within the hearing aid, assigning each to a compressor and mixing the audio streams afterward. In another embodiment, a compressor is developed for the remote microphone to offload that portion of the signal processing.

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Minneapolis, MN, United States of America

Jason Alan Galster