Medtronic, Inc.

Semtech Corporation

Remi Le Reverend

Guy A Delight

Chaouki Rouaissia

Peter Bradley

Eric D Corndorf

Nicholas C Wine

George C Rosar

Charles H Dudding

Jerald George Ott, Iii

Quentin Scott Denzene

Robert S Wentink

Philip Dorning

Andrew Michael Bottomley

Ott Iii Jerald G

A proximity sensor for a portable wireless connected device, the sensor being arranged to determine whether a part of a user's body is near the portable connected wireless device. The sensor generates a time-averaged proximity that is alerted when the device is brought near a part of a user's body for a given time and may be periodically reset momentarily during the periods of proximity. An integration time comparable with that used in SAR testing, enables the sensor to reduce the radio power emitted by a portable device when it is near the body. The integration time can be obtained by a sigma/delta modulator configured as rate-compression unit.

Proximity sensor for portable wireless device

A sensor for a portable connected device. The sensor has a filter arranged to reduce a noise component on a sampled input signal. The is arranged to consider only input measurements that change systematically in a same direction, updating an output value when all the input samples in a predetermined time window are above or below a current output value and, repeating the current output value when the input samples in the time window are below and above the current output value.

Proximity sensor with nonlinear filter and method

A plurality of phases of sniff operations are performed for detecting wake-up signals being received by an implantable medical device (IMD), including a phase that performs a staged detection of whether the integrated frequency deviation of a received signal is outside of an expected frequency deviation range, where sniff operations are aborted if the integrated frequency deviation of the received signal falls outside of corresponding high and low thresholds in any stage, wherein the difference between the high and low thresholds tightens with each subsequent stage and an average frequency deviation over all completed stages are used in the calculations. One phase of sniff operations includes a dual frequency modulation (FM) detector including a first FM detector that introduces a small delay in a received signal providing an average frequency estimate and a second FM detector having a larger delay that is adjusted based on the estimated average frequency.

Method and apparatus for the phased detection of a signal including a frequency deviation detection phase

A low power method and apparatus for detecting wake-up signals in sniff processing performed in an implantable medical device (IMD) using a staged detection of RF energy in signals received in order to conserve current consumption. Incoming signals are monitored in a plurality of detection stages which each incrementally increase the accuracy of detecting whether the received signal is a wake-up communication signal. A desired number of stages of signal quantity measurements are performed such that a combined signal quantity is calculated by updating the signal quantity measurements performed in prior stages with signal quantity measurements performed at each stage. The combined signal quantity of the received communication signal is compared at each detection stage against a corresponding threshold value for that stage. The staged detection process aborts sniff processing if the combined signal quantity fails to meet the corresponding threshold value for that stage.

Method and apparatus for the staged detection of RF energy

A low power multiple channel receiver mixing architecture for detecting wake-up signals over multiple communication channels in sniff processing performed in an implantable medical device (IMD). The architecture includes a direct conversion real receiver configured to scan a selected center channel and a Weaver receiver configured in parallel to the direct conversion real receiver to simultaneously scan side channels, together simultaneously detecting whether a wake-up signal is being received over the center and side channels with minimal power consumption. The architecture further utilizes a falsing protection algorithm that reduces power consumption during sniff operations by inhibiting the sniffing of channels likely to provide a false indication of a wake-up signal based the presence of unwanted signals on those channels. The falsing protection algorithm restricts those channels from sniff processing likely to provide a false indication of a wake-up signal, such that sniff processing can aborted, prevented, limited or otherwise altered to conserve power consumption.

Low power multiple channel mixing architecture for detecting wake-up signals and related falsing protection algorithm

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San Diego, CA, United States of America

Remi Le Reverend