Patents Assigned to Analytics For Life Inc.
  • Patent number: 12243624
    Abstract: A facility providing systems and methods for discovering novel features to use in machine learning techniques. The facility receives, for a number of subjects, one or more sets of data representative of some output or condition of the subject over a period of time or capturing some physical aspect of the subject. The facility then extracts or computes values from the data and applies one or more feature generators to the extracted values. Based on the outputs of the feature generators, the facility identifies novel feature generators for use in at least one machine learning process and further mutates the novel feature generators, which can then be applied to the received data to identify additional novel feature generators.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: March 4, 2025
    Assignee: Analytics For Life Inc.
    Inventors: Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta
  • Patent number: 12011275
    Abstract: 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. In some embodiments, the exemplified system disclosed herein facilitates the acquisition and recording of wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled, in some embodiments, having a temporal skew less than about 1 ?s, and in other embodiments, having a temporal skew not more than about 10 femtoseconds. Notably, the exemplified system minimizes non-linear distortions (e.g., those that can be introduced via certain filters) in the acquired wide-band phase gradient signal so as to not affect the information therein.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: June 18, 2024
    Assignee: Analytics For Life, Inc.
    Inventors: Sunny Gupta, Don Crawford, Timothy William Fawcett Burton, Shyamlal Ramchandani, Kristine Canavan
  • Patent number: 12011276
    Abstract: 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. Notably, the present disclosure provides an improved and efficient method to identify and risk stratify coronary stenosis of the heart using a high resolution and wide-band cardiac gradient obtained from the patient. The patient data are derived from the cardiac gradient waveforms across one or more leads, in some embodiments, resulting in high-dimensional data and long cardiac gradient records that exhibit complex nonlinear variability. Space-time analysis, via numeric wavelet operators, is used to study the morphology of the cardiac gradient data as a phase space dataset by extracting dynamical and geometrical properties from the phase space dataset.
    Type: Grant
    Filed: August 16, 2021
    Date of Patent: June 18, 2024
    Assignee: Analytics For Life Inc.
    Inventors: Sunny Gupta, Shyamlal Ramchandani, Timothy William Fawcett Burton, William Sanders, Ian Shadforth
  • Patent number: 11989652
    Abstract: The exemplified methods and systems facilitate the configuration and training of a neural network (e.g., a deep neural network, a convolutional neural network (CNN), etc.), or ensemble(s) thereof, with a biophysical signal data set to ascertain estimate for the presence or non-presence of disease or pathology in a subject as well as to assess and/or classify disease or pathology, including for example in some cases the severity of such disease or pathology, in a subject. In the context of the heart, the methods and systems described herein facilitate the configuration and training of a neural network, or ensemble(s) thereof, with a cardiac signal data set to ascertain estimate for the presence or non-presence of coronary artery disease or coronary pathology.
    Type: Grant
    Filed: February 27, 2023
    Date of Patent: May 21, 2024
    Assignee: Analytics For Life Inc.
    Inventors: Ali Khosousi, Timothy William Fawcett Burton, Horace R. Gillins, Shyamlal Ramchandani, William Sanders, Ian Shadforth
  • Patent number: 11918333
    Abstract: The exemplified intrinsic phase space tomography methods and systems facilitate the analysis and evaluation of complex, quasi-periodic system by generating computed phase-space tomographic images as a representation of the dynamics of the quasi-periodic cardiac systems. The computed phase-space tomographic images can be presented to a physician to assist in the assessment of presence or non-presence of disease. In some embodiments, the phase space tomographic images are used as input to a trained neural network classifier configured to assess for presence or non-presence of significant coronary artery disease.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: March 5, 2024
    Assignee: Analytics For Life Inc.
    Inventors: Paul Grouchy, Meng Lei, Ian Shadforth, Sunny Gupta, Timothy William Fawcett Burton, Shyamlal Ramchandani
  • Patent number: 11826126
    Abstract: 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). In particular, the exemplified methods and systems facilitate presentation of such measurements in a graphical user interface, or “GUI” (e.g., associated with a healthcare provider web portal to be used by physicians, researchers, or patients, and etc.) and/or in a report for diagnosis of heart pathologies and disease. The presentation facilitates a unified and intuitive visualization that includes three-dimensional visualizations and two-dimensional visualizations that are concurrently presented within a single interactive interface and/or report.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: November 28, 2023
    Assignee: Analytics For Life Inc.
    Inventors: Ian Shadforth, Meng Lei, Timothy Burton, Don Crawford, Sunny Gupta, Paul Douglas Souza, Cody James Wackerman, Andrew Hugh Dubberly
  • Patent number: 11589829
    Abstract: The exemplified methods and systems facilitate the configuration and training of a neural network (e.g., a deep neural network, a convolutional neural network (CNN), etc.), or ensemble(s) thereof, with a biophysical signal data set to ascertain estimate for the presence or non-presence of disease or pathology in a subject as well as to assess and/or classify disease or pathology, including for example in some cases the severity of such disease or pathology, in a subject. In the context of the heart, the methods and systems described herein facilitate the configuration and training of a neural network, or ensemble(s) thereof, with a cardiac signal data set to ascertain estimate for the presence or non-presence of coronary artery disease or coronary pathology.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: February 28, 2023
    Assignee: Analytics For Life Inc.
    Inventors: Ali Khosousi, Timothy William Fawcett Burton, Horace R. Gillins, Shyamlal Ramchandani, William Sanders, Ian Shadforth
  • Patent number: 11476000
    Abstract: Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart). By mathematically modulating (e.g.
    Type: Grant
    Filed: June 1, 2020
    Date of Patent: October 18, 2022
    Assignee: Analytics For Life Inc.
    Inventors: Timothy Burton, Shyamlal Ramchandani, Sunny Gupta
  • Patent number: 11395618
    Abstract: 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. In some embodiments, the exemplified system disclosed herein facilitates the acquisition and recording of wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled, in some embodiments, having a temporal skew less than about 1 ?s, and in other embodiments, having a temporal skew not more than about 10 femtoseconds. Notably, the exemplified system minimizes non-linear distortions (e.g., those that can be introduced via certain filters) in the acquired wide-band phase gradient signal so as to not affect the information therein.
    Type: Grant
    Filed: January 27, 2020
    Date of Patent: July 26, 2022
    Assignee: Analytics For Life Inc.
    Inventors: Sunny Gupta, Don Crawford, Timothy William Fawcett Burton, Shyamlal Ramchandani, Kristine Canavan
  • Patent number: 11147516
    Abstract: 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.
    Type: Grant
    Filed: June 18, 2019
    Date of Patent: October 19, 2021
    Assignee: Analytics For Life Inc.
    Inventors: Michael Garrett, Timothy William Fawcett Burton, Shyamlal Ramchandani, Abhinav Doomra
  • Patent number: 11139048
    Abstract: A facility providing systems and methods for discovering novel features to use in machine learning techniques. The facility receives, for a number of subjects, one or more sets of data representative of some output or condition of the subject over a period of time or capturing some physical aspect of the subject. The facility then extracts or computes values from the data and applies one or more feature generators to the extracted values. Based on the outputs of the feature generators, the facility identifies novel feature generators for use in at least one machine learning process and further mutates the novel feature generators, which can then be applied to the received data to identify additional novel feature generators.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: October 5, 2021
    Assignee: Analytics For Life Inc.
    Inventors: Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta
  • Patent number: 11133109
    Abstract: 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). In some embodiments, the phase space volumetric object can be assessed to extract topographic and geometric parameters that are used in models that determine indications of presence or non-presence of significant coronary artery disease.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: September 28, 2021
    Assignee: Analytics For Life Inc.
    Inventors: Sunny Gupta, Timothy William Fawcett Burton, Shyamlal Ramchandani
  • Patent number: 11062792
    Abstract: 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. The facility evaluates each genome based on the ability of a model trained using that genome and a machine learning algorithm to produce accurate results when applied to a validation data set by, for example, generating a fitness or validation score for the trained model and the corresponding genome used to train the model. Genomes that produce fitness scores that exceed a fitness threshold are selected for mutation, mutated, and the process is repeated. These trained models can then be applied to new data to generate predictions for the underlying subject matter.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: July 13, 2021
    Assignee: Analytics For Life Inc.
    Inventors: Paul Grouchy, Timothy Burton, Ali Khosousi, Abhinav Doomra, Sunny Gupta, Ian Shadforth
  • Patent number: 10806349
    Abstract: Exemplified methods and systems facilitate, on a cloud platform, analysis and presentation of data derived from measurements of the heart acquired in a non-invasive procedure. The cloud platform includes a data store service, an analysis service, and a data exchange service configured to determine the presence or non-presence of significant coronary artery disease.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: October 20, 2020
    Assignee: Analytics For Life Inc.
    Inventors: Ian Shadforth, Meng Lei, Timothy Burton, Don Crawford, Sunny Gupta, Paul Douglas Souza, Cody James Wackerman, Andrew Hugh Dubberly
  • Patent number: 10672518
    Abstract: Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart). By mathematically modulating (e.g.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: June 2, 2020
    Assignee: Analytics For Life Inc.
    Inventors: Timothy Burton, Shyamlal Ramchandani, Sunny Gupta
  • Patent number: 10566092
    Abstract: Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart). By mathematically modulating (e.g.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: February 18, 2020
    Assignee: Analytics For Life Inc.
    Inventors: Timothy Burton, Shyamlal Ramchandani, Sunny Gupta
  • Patent number: 10566091
    Abstract: Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart). By mathematically modulating (e.g.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: February 18, 2020
    Assignee: Analytics For Life Inc.
    Inventors: Timothy Burton, Shyamlal Ramchandani, Sunny Gupta
  • Patent number: 10542897
    Abstract: 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. In some embodiments, the exemplified system disclosed herein facilitates the acquisition and recording of wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled, in some embodiments, having a temporal skew less than about 1 ?s, and in other embodiments, having a temporal skew not more than about 10 femtoseconds. Notably, the exemplified system minimizes non-linear distortions (e.g., those that can be introduced via certain filters) in the acquired wide-band phase gradient signal so as to not affect the information therein.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: January 28, 2020
    Assignee: Analytics For Life Inc.
    Inventors: Sunny Gupta, Don Crawford, Timothy Burton, Shyamlal Ramchandani, Kristine Canavan
  • Patent number: 10383535
    Abstract: Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: August 20, 2019
    Assignee: Analytics For Life Inc.
    Inventors: Sunny Gupta, Mohsen Najafi Yazdi, Timothy William Fawcett Burton, Shyamlal Ramchandani, Derek Vincent Exner
  • Patent number: D895661
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: September 8, 2020
    Assignee: Analytics For Life, Inc.
    Inventor: Meng Lei