Abstract: A system for detecting snoring. The system includes a first microphone to convert a first sound into a first signal, a second microphone to convert a second sound into a second signal, and a processor. The processor generates a third signal from the first and second signals that is representative of the first sound arriving at the first microphone and the second sound arriving at the second microphone to select first and second portions of the third signal, and to derive a metric from the second portion of the third signal. The first portion corresponds to the first sound arriving at the first microphone and the second sound arriving at the second microphone. The second portion contains only components of the first portion that have a frequency within a frequency range of interest. The metric indicates if the first portion of the third signal includes a component consistent with snoring.

Abstract: A circumaural headset having a first earcup and a second earcup can include a first transducer disposed with the first earcup and configured to transmit a first non-audible signal with an audible signal, a second transducer disposed within the second earcup and configured to receive the first non-audible signal from the first transducer, and an off-ear detection processor configured to determine whether the headset has been removed from the user’s head based on the second transducer receiving the first non-audible signal from the first transducer.

Abstract: Systems and methods of ultrasound imaging of an object that includes multiple depth zones. Each of the zones can be imaged using a different frequency, or the same frequency as another zone. A method includes imaging a first zone using plane wave imaging, imaging a second zone using tissue harmonic imaging, and imaging a third zone using fundamental and subharmonic deep imaging. The depth of each zone can vary based on the ultrasonic array, and correspondingly, the F # used for imaging the zone. In an example, zones can be imaged at different F #'s, for example, at F #1 for the first zone, at F #2, F #3, or F #6 for one or more zones that extend deeper into the object than the first zone. The method can also include forming an image based on the received signals from the multiple zones, and blending the transitions between the zones.

Abstract: Disclosed is a signal processor for headphone off-ear detection. The signal processor includes an audio output to transmit an audio signal toward a headphone speaker in a headphone cup. The signal processor also includes a feedback (FB) microphone input to receive a FB signal from a FB microphone in the headphone cup. The signal processor also includes an off-ear detection (OED) signal processor to determine an audio frequency response of the FB signal over an OED frame as a received frequency response. The OED processor also determines an audio frequency response of the audio signal times an off-ear transfer function between the headphone speaker and the FB microphone as an ideal off-ear response. A difference metric is generated comparing the received frequency response to the ideal off-ear frequency response. The difference metric is employed to detect when the headphone cup is disengaged from an ear.

Abstract: Disclosed is a signal processor for headphone off-ear detection. The signal processor includes an audio output to transmit an audio signal toward a headphone speaker in a headphone cup. The signal processor also includes a feedback (FB) microphone input to receive a FB signal from a FB microphone in the headphone cup. The signal processor also includes an off-ear detection (OED) signal processor to determine an audio frequency response of the FB signal over an OED frame as a received frequency response. The OED processor also determines an audio frequency response of the audio signal times an off-ear transfer function between the headphone speaker and the FB microphone as an ideal off-ear response. A difference metric is generated comparing the received frequency response to the ideal off-ear frequency response. The difference metric is employed to detect when the headphone cup is disengaged from an ear.