Starkey Laboratories, Inc.

Paul Reinhart

Tim Schoof

Kendra Griffin

Michael Karl Sacha

Justin R Burwinkel

Jingjing Xu

Tracie Tuss

Kent Collins

Embodiments herein relate to ear-wearable systems and devices that can detect migraine headaches. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to evaluate at least one of signals from the microphone, signals from the sensor package, signals from an external sensor, and contextual factor data, and detect a migraine headache based on the evaluation. In an embodiment, an ear-wearable device system is included having a first ear-wearable device and a second ear-wearable device. In an embodiment, a method of predicting or detecting the onset or presence of a migraine headache with an ear-wearable system is included. Other embodiments are also included herein.

Ear-wearable devices and methods for migraine detection

A reverberation condition is detected affecting an electronic hearing device. The hearing device receives sound from a microphone and provides amplified sound to an in-ear receiver. The reverberation condition is predicted to impact clarity of the amplified sound. A sound processing capability is determined that will affect the reverberation. The sound processing capability is applied to the amplified sound and includes one or more of expansion, compression, and directionality processing. In response to detecting the reverberation condition, at least one of the following is performed: enabling the sound processing capability with a reverberation mitigation setting if the sound processing capability is currently disabled; or changing the sound processing capability to the reverberation mitigation setting from a default setting if the sound processing capability is currently enabled. The reverberation mitigation setting is removed when the reverberation condition is no longer detected.

Apparatus and method for reverberation mitigation in a hearing device

A method for fitting a hearing instrument comprises obtaining sensor data from a plurality of sensors belonging to a plurality of sensor types; applying a machine learned (ML) model to determine, based on the sensor data, an applicable fitting category of the hearing instrument from among a plurality of predefined fitting categories, wherein the plurality of predefined fitting categories includes a fitting category corresponding to a correct way of wearing the hearing instrument and a fitting category corresponding to an incorrect way of wearing the hearing instrument; and generating an indication based on the applicable fitting category of the hearing instrument.

Methods and systems for assessing insertion position of hearing instrument

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Minneapolis, MN, United States of America

Paul Reinhart