60 patents
Page 2 of 3
Utility
Method and Apparatus for Wide-band Phase Gradient Signal Acquisition
5 May 22
The present disclosure facilitates capture (e.g., bipolar capture) of differentially-acquired wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled.
Sunny Gupta, Konstantin Papirov, Jason Woo
Filed: 10 Sep 21
Utility
Method and System to Assess Disease Using Phase Space Volumetric Objects
5 May 22
The exemplified methods and systems provide a phase space volumetric object in which the dynamics of a complex, quasi-periodic system, such as the electrical conduction patterns of the heart, or other biophysical-acquired signals of other organs, are represented as an image of a three dimensional volume having both a volumetric structure (e.g., a three dimensional structure) and a color map to which features can be extracted that are indicative the presence and/or absence of pathologies, e.g., ischemia relating to significant coronary arterial disease (CAD).
Sunny Gupta, Timothy William Fawcett Burton, Shyamlal Ramchandani
Filed: 10 Sep 21
Utility
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5 Apr 22
The exemplified methods and systems facilitate one or more dynamical analyses that can characterize and identify synchronicity between the acquired cardiac signals and photoplethysmographic signals to predict/estimate the presence, non-presence, localization, and/or severity of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, heart failure (including but not limited to indicators of disease or conduction such as abnormal left ventricular end-diastolic pressure disease), and pulmonary hypertension, among others.
Mehdi Paak, Timothy William Fawcett Burton, Shyamlal Ramchandani
Filed: 26 Mar 20
Utility
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31 Mar 22
The exemplified methods and systems (e.g., machine-learned systems) facilitate the acquisition of ballistocardiographic signals and the determination and use of ballistocardiographic signal related features, or parameters, in a model or classifier to estimate metrics associated with the physiological state of a subject, including for the presence or non-presence of a disease, medical condition, or indication of either.
Ian Shadforth, Jonathan James Woodward, Shyamlal Ramchandani
Filed: 27 Sep 21
Utility
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24 Mar 22
A facility for identifying combinations of feature and machine learning algorithm parameters, where each combination can be combined with one or more machine learning algorithms to train a model, is disclosed.
Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta, Ian Shadforth
Filed: 4 Jun 21
Utility
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24 Mar 22
A facility providing systems and methods for discovering novel features to use in machine learning techniques.
Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta
Filed: 25 Jun 21
Utility
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2 Dec 21
The present disclosure facilitates the evaluation of wide-band phase gradient information of the heart tissue to assess, e.g., the presence of heart ischemic heart disease.
Sunny Gupta, Shyamlal Ramchandani, Timothy William Fawcett Burton, William Sanders, Ian Shadforth
Filed: 16 Aug 21
Utility
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2 Nov 21
The exemplified technology facilitates de-noising of magnetic field-sensed signal data (e.g., of an electrophysiological event) using signal reconstruction processes that fuse the magnetic field-sensed signal data with another sensed signal data (e.g., voltage gradient signal data) captured simultaneously with the magnetic field-sensed signal data.
Sunny Gupta, Mohsen Najafi Yazdi
Filed: 19 Oct 18
Utility
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19 Oct 21
The present disclosure generally relates to systems and methods and systems of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function.
Sunny Gupta, Derek Exner, Mohsen Najafi Yazdi, Timothy William Fawcett Burton, Shyamlal Ramchandani
Filed: 13 Jul 17
Utility
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19 Oct 21
The exemplified methods and systems described herein facilitate the quantification and/or removal of asynchronous noise, such as muscle artifact noise contamination, to more accurately assess complex nonlinear variabilities in quasi-periodic biophysical-signal systems such as those in acquired cardiac signals, brain signals, etc.
Michael Garrett, Timothy William Fawcett Burton, Shyamlal Ramchandani, Abhinav Doomra
Filed: 18 Jun 19
Utility
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12 Oct 21
The present disclosure facilitates capture (e.g., bipolar capture) of differentially-acquired wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled.
Sunny Gupta, Konstantin Papirov, Jason Woo
Filed: 2 Mar 18
Utility
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5 Oct 21
A facility providing systems and methods for discovering novel features to use in machine learning techniques.
Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta
Filed: 18 Jul 17
Utility
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28 Sep 21
The exemplified methods and systems provide a phase space volumetric object in which the dynamics of a complex, quasi-periodic system, such as the electrical conduction patterns of the heart, or other biophysical-acquired signals of other organs, are represented as an image of a three dimensional volume having both a volumetric structure (e.g., a three dimensional structure) and a color map to which features can be extracted that are indicative the presence and/or absence of pathologies, e.g., ischemia relating to significant coronary arterial disease (CAD).
Sunny Gupta, Timothy William Fawcett Burton, Shyamlal Ramchandani
Filed: 26 Dec 18
Utility
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17 Aug 21
The present disclosure facilitates the evaluation of wide-band phase gradient information of the heart tissue to assess, e.g., the presence of heart ischemic heart disease.
Sunny Gupta, Shyamlal Ramchandani, Timothy William Fawcett Burton, William Sanders, Ian Shadforth
Filed: 29 Jul 19
Utility
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15 Jul 21
The exemplified methods and systems facilitate the quantification of cardiac cycle-variability as a metric of signal quality of an acquired signal data set and the rejection, based on that quantification, of said acquired signal data set from one or more subsequent analyses that can predict and/or estimate a metric associated with the presence, non-presence, severity, and/or localization of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, abnormal left ventricular end-diastolic pressure disease (LVEDP), pulmonary hypertension and subcategories thereof, heart failure (HF), among others as discussed herein.
Farhad Fathieh, Michael Garrett, Timothy Burton, Shyamlal Ramchandani, Abhinav Doomra
Filed: 23 Dec 20
Utility
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13 Jul 21
A facility for identifying combinations of feature and machine learning algorithm parameters, where each combination can be combined with one or more machine learning algorithms to train a model, is disclosed.
Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta, Ian Shadforth
Filed: 18 Jul 17
Utility
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6 May 21
The present disclosure facilitates capture of biosignal such as biopotential signals in microvolts, or sub-microvolts, resolutions that are at, or significantly below, the noise-floor of conventional electrocardiographic and biosignal acquisition instruments.
Sunny Gupta, Don Crawford, Timothy William Fawcett Burton, Shyamlal Ramchandani, Kristine Canavan
Filed: 15 Jan 21
Utility
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2 Feb 21
The present disclosure uses physiological data, ECG signals as an example, to evaluate cardiac structure and function in mammals.
Sunny Gupta, Mohsen Najafi Yazdi, Timothy William Fawcett Burton, Shyamlal Ramchandani, Derek Vincent Exner
Filed: 13 Feb 19
Utility
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28 Jan 21
Exemplified methods and systems facilitate presentation of data derived from measurements of the heart in a non-invasive procedure (e.g., via phase space tomography analysis).
Ian Shadforth, Meng Lei, Timothy Burton, Don Crawford, Sunny Gupta, Paul Douglas Souza, Cody James Wackerman, Andrew Hugh Dubberly
Filed: 12 Oct 20
Utility
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23 Dec 20
The exemplified methods and systems facilitate one or more dynamical analyses that can characterize and identify nonlinear dynamical properties (such as Lyapunov exponent (LE), correlation dimension, entropy (K2), or statistical and/or geometric properties derived from Poincaré maps, etc.) of biophysical signals such as photoplethysmographic signals and/or cardiac signals to predict presence and/or localization of a disease or condition, or indicator of one, including, for example, but not limited to, coronary artery disease, heart failure (including but not limited to elevated or abnormal left ventricular end-diastolic pressure disease) and pulmonary hypertension, among others.
Mehdi Paak, Timothy William Fawcett Burton, Shyamlal Ramchandani
Filed: 25 Mar 20