Ausculsciences, Inc.

Daniel Labonté

Md Shahidul Islam

Sergey A Telenkov

Brady Nicholas Laska

Simon Martin

Jun Zhou

Jikang Zeng

David Gloag

Robin F Castelino

Robert J Griffin

Camilla Jastrzebski

At least one sound generator operatively coupleable to a corresponding at least one auscultatory sound-or-vibration sensor provides for generating a corresponding at least one sound signal that is applied to the corresponding at least one auscultatory sound-or-vibration sensor. For each sound generator and corresponding auscultatory sound-or-vibration sensor operatively coupled thereto, a communications interface provides for receiving a corresponding auscultatory sound signal from the corresponding auscultatory sound-or-vibration sensor, and at least one computer processor operatively coupled to the communications interface provides for either generating, or causing to be generated, an electronic audio signal that drives the sound generator, causing a corresponding at least one sound signal to be generated thereby, and at least one computer processor provides for analyzing the auscultatory sound signal from the corresponding auscultatory sound-or-vibration sensor responsive thereto for determining whether or not the corresponding at least one auscultatory sound-or-vibration sensor is functioning properly.

Coronary artery disease detection signal processing system and method

An auscultatory sound-or-vibration sensor electronic test signal applied to a sound generator generates an acoustic sound signal, responsive to which an auscultatory sound-or-vibration sensor in proximity to the sound generator generates a corresponding auscultatory sound signal. The auscultatory sound-or-vibration sensor electronic test signal incorporates a plurality of frequency components, each frequency component of which incorporates an integral number of wavelengths and is terminated following a duration of time corresponding to the integral number of wavelengths after that frequency component is applied to the corresponding sound generator. A determination of whether or not the auscultatory sound-or-vibration sensor is functioning properly is made responsive to an analysis of a Fourier Transform of the auscultatory sound signal.

An auscultatory sound signal from at least one auscultatory sound-or-vibration sensor is filtered with a high-pass filter and then segmented into a plurality of associated heart cycle segments responsive to associated R-peak locations of an electrographic envelope signal representing an envelope response to an even power of an associated electrographic signal from an ECG sensor. A representation an envelope responsive to an even power of said auscultatory sound signal within said at least one heart cycle is locally modeled about at least a second peak to provide for locating the start of diastole of said at least one heart cycle.

Medical decision support system

An auscultatory sound signal from at least one auscultatory sound-or-vibration sensor is segmented into a plurality of associated heart cycle segments responsive to associated R-peak locations of an electrographic envelope signal representing an envelope response to an even power of an associated electrographic signal from an ECG sensor. A representation an envelope responsive to an even power of said auscultatory sound signal within said at least one heart cycle is locally modeled about at least a second peak to provide for locating the start of diastole of said at least one heart cycle.

At least one of at least one data-dependent scale factor or at least one data-dependent detection threshold is determined responsive to at least one block of time-series data of an auscultatory-sound signal generated by an auscultatory-sound sensor operatively coupled to a portion of the skin of a test-subject, wherein the at least one data-dependent scale factor or at least one data-dependent detection threshold provides a measure of a range of values of the at least one block of time-series data in relation to a predetermined metric, and is used to determine whether or not the auscultatory-sound sensor is either debonded or detached from the skin of the test-subject.

System and method for detecting decoupling of an auscultatory sound sensor from a test-subject

An auscultatory sound signal acquired by a recording module is coupled through a high-pass filter having a cut-off frequency in the range of 3 to 15 Hz and subsequently filtered with a low-pass filter, and optionally subject to variable-gain amplification under external control&#x2014;via a USB or wireless interface&#x2014;of an associated docking system, responsive to the resulting processed auscultatory sound signal. A sound generator in the docking system generates an associated test signal having an integral number of wavelengths for each of a plurality of frequencies. The test signal is applied to a corresponding auscultatory sound-or-vibration sensor to test the integrity thereof. Resulting sound signals recorded by the recording module are analyzed using a Fourier Transform to determine sensor integrity.

A time-series array of noise data is generated from an inverse frequency transform of the product of the frequency spectrum of an auscultatory sound signal with an associated noise filter generated responsive to a cross-correlation of frequency spectra of auscultatory sound signals from adjacent auscultatory sound-or-vibration sensors on the torso of a test subject. Noise power within at least one range of frequencies of average of frequency spectra from a plurality of windows of the time-series array of noise data is compared with a threshold to determine whether or not the associated auscultatory sound-or-vibration sensor is excessively noisy. In one embodiment, the noise filter is generated by subtracting from unity, a unity-normalized cross-correlation of frequency spectra of the auscultatory sound signals, wherein the resulting values are clipped so as to be no less than an associated noise floor.

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Ottawa, Canada

Daniel Labonté