公开(公告)号：WO2022198057A2

公开(公告)日：2022-09-22

申请号：PCT/US2022/020966

申请日：2022-03-18

Applicant: STARKEY LABORATORIES, INC.

Inventor： BURWINKEL, Justin R. ,  FABRY, David Alan ,  HAUBRICH, Gregory John ,  KLEIN, Scott Thomas ,  LISTER, Adrian ,  SHRINER, Paul

IPC: G09B19/04 ,  A61B5/00 ,  G09B5/00 ,  H04R25/00

Abstract: Embodiments herein relate to ear-wearable devices configured to administer therapy to individuals who have suffered anoxic or hypoxic neurological injury and/or assess recovery from such injuries and related systems and methods. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, a motion sensor, and a power supply circuit, wherein the ear-wearable device is configured to initiate a therapy for a wearer of the ear-wearable device and monitor signals from the microphone and/or the motion sensor to detect execution of the therapy. In an embodiment, the ear-wearable device is configured to evaluate signals from at least one of the microphone and the motion sensor to assess recovery from an anoxic or hypoxic neurological injury. Other embodiments are also included herein.

公开(公告)号：WO2022170091A1

公开(公告)日：2022-08-11

申请号：PCT/US2022/015304

申请日：2022-02-04

Applicant: STARKEY LABORATORIES, INC. ,  BHOWMIK, Achintya Kumar

Inventor： LISTER, Adrian ,  MICHEYL, Christophe ,  REINHART, Paul, N. ,  BURWINKEL, Justin, R. ,  VASTARE, Krishna Chaithanya ,  WEISENSEL, Gerard, N.

IPC: A61B5/16 ,  A61B5/00 ,  A61B7/00 ,  G10L17/00

Abstract: Embodiments herein relate to ear-wearable stress and anxiety monitoring systems, devices and methods. Embodiments herein further relate to ear-wearable systems and devices that can detect and take actions to alleviate device wearer's stress and anxiety. In an embodiment an ear-wearable stress and/or anxiety monitoring system is included having a control circuit, a microphone, and a sensor package that can include a motion sensor. The ear-wearable system is configured to evaluate data from at least one of the microphone and the sensor package and classify a stress level of a device wearer using a machine learning classification model and periodically update the machine learning classification model based on indicators of stress experienced by the device wearer.