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51. 外观设计

USD858532S1 Display screen with transitional graphical user interface 有权
公开(公告)号：USD858532S1
公开(公告)日：2019-09-03
申请号：US29578440
申请日：2016-09-21
申请人： Analytics For Life
设计人： Meng Lei
摘要： FIG. 1 is a front view of a display screen with transitional graphical user interface showing a first image in a sequence of a first embodiment of my new design;
FIG. 2 is a second image of the first embodiment;
FIG. 3 is a third image of the first embodiment;
FIG. 4 is a fourth image of the first embodiment;
FIG. 5 is a fifth image of the first embodiment;
FIG. 6 is a sixth image of the first embodiment;
FIG. 7 is a seventh image of the first embodiment;
FIG. 8 is an eighth image of the first embodiment;
FIG. 9 is a ninth image of the first embodiment;
FIG. 10 is a tenth image of the first embodiment;
FIG. 11 is an eleventh image of the first embodiment;
FIG. 12 is a twelfth image of the first embodiment;
FIG. 13 is a thirteenth image of the first embodiment;
FIG. 14 is a front view of a display screen with transitional graphical user interface showing a first image in a sequence of a second embodiment of my new design;
FIG. 15 is a second image of the second embodiment;
FIG. 16 is a third image of the second embodiment;
FIG. 17 is a fourth image of the second embodiment;
FIG. 18 is a fifth image of the second embodiment;
FIG. 19 is a sixth image of the second embodiment;
FIG. 20 is a seventh image of the second embodiment;
FIG. 21 is an eighth image of the second embodiment;
FIG. 22 is a ninth image of the second embodiment;
FIG. 23 is a tenth image of the second embodiment;
FIG. 24 is an eleventh image of the second embodiment;
FIG. 25 is a twelfth image of the second embodiment;
FIG. 26 is a thirteenth image of the second embodiment;
FIG. 27 is a fourteenth image of the second embodiment;
FIG. 28 is a fifteenth image of the second embodiment; and,
FIG. 29 is a sixteenth image of the second embodiment.
The appearance of the transitional graphical user interface sequentially transitions between images shown in FIGS. 1-13, and the appearance of the transitional graphical user interface sequentially transitions between images shown in FIGS. 14-29. The process or period in which one image transitions to another image forms no part of the claimed design.
The outermost broken line illustrates the display screen. The remaining broken lines, including all numerals and text within the graphical user interface, illustrate portions of the graphical user interface. None of the broken lines form part of the claimed design.

52. 外观设计

USD855064S1 Display screen with graphical user interface 有权
公开(公告)号：USD855064S1
公开(公告)日：2019-07-30
申请号：US29578421
申请日：2016-09-21
申请人： Analytics For Life
设计人： Meng Lei
摘要： The FIGURE is a front view of a display screen with graphical user interface showing my new design.
The outermost two broken lines illustrate the display screen. The remaining broken lines illustrate portions of the graphical user interface and display screen. None of the broken lines form part of the claimed design.

53. 发明授权

US09955883B2 Non-invasive method and system for characterizing cardiovascular systems for all-cause mortality and sudden cardiac death risk 有权
公开(公告)号：US09955883B2
公开(公告)日：2018-05-01
申请号：US15207214
申请日：2016-07-11
申请人： Analytics For Life
发明人： Sunny Gupta , Mohsen Najafi Yazdi , Timothy William Fawcett Burton , Shyamlal Ramchandani , Derek Vincent Exner
IPC分类号： A61B5/00 , A61B5/04 , A61B5/0205 , A61B5/021 , A61B5/029 , A61B5/044 , A61B5/0468 , A61B5/1455 , A61B5/0452 , A61B5/026 , A61B5/0444 , A61B5/08
CPC分类号： A61B5/04012 , A61B5/0205 , A61B5/021 , A61B5/026 , A61B5/029 , A61B5/04001 , A61B5/04011 , A61B5/044 , A61B5/0444 , A61B5/0452 , A61B5/0468 , A61B5/08 , A61B5/14551 , A61B5/14552 , A61B5/4836 , A61B5/7275 , G06F19/00
摘要： 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.

54. 发明授权

US11948688B2 Method and system to assess disease using phase space volumetric objects 有权
公开(公告)号：US11948688B2
公开(公告)日：2024-04-02
申请号：US17472353
申请日：2021-09-10
申请人： Analytics For Life Inc.
发明人： Sunny Gupta , Timothy William Fawcett Burton , Shyamlal Ramchandani
IPC分类号： G16H50/20 , A61B5/00 , A61B5/02 , A61B5/0265
CPC分类号： G16H50/20 , A61B5/02007 , A61B5/0265 , A61B5/40 , A61B5/726 , A61B5/7282
摘要： 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.

55. 发明公开

US20230157618A1 Method and System to Assess Pulmonary Hypertension Using Phase Space Tomography and Machine Learning 审中-公开
公开(公告)号：US20230157618A1
公开(公告)日：2023-05-25
申请号：US17936496
申请日：2022-09-29
申请人： Analytics for Life Inc.
发明人： Paul Grouchy , Meng Lei , Ian Shadforth , Sunny Gupta , Timothy Burton , Shyamlal Ramchandani
IPC分类号： A61B5/361 , A61B5/00 , G06N3/08 , A61B5/316 , A61B5/339
CPC分类号： A61B5/361 , A61B5/7267 , G06N3/08 , A61B5/316 , A61B5/339 , G06T3/4007
摘要： Phase space tomography methods and systems to facilitate the analysis and evaluation of complex, quasi-periodic system by generating computed phase-space tomographic images and mathematical features 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 implementations, the phase space tomographic images are used as input to a trained neural network classifier configured to assess for presence or non-presence of pulmonary hypertension, including pulmonary arterial hypertension.

56. 发明申请

US20230055617A1 Methods and Systems for Engineering Photoplethysmographic-Waveform Features From Biophysical Signals for Use in Characterizing Physiological Systems 有权
公开(公告)号：US20230055617A1
公开(公告)日：2023-02-23
申请号：US17891278
申请日：2022-08-19
申请人： Analytics for Life Inc.
发明人： Emmanuel Lange , Farhad Fathieh
IPC分类号： A61B5/00 , A61B5/024 , A61B5/1455 , G16H50/20
摘要： The exemplified methods and systems facilitate the use, for diagnostics, monitoring, or treatment, of one or more PPG waveform-based features or parameters determined from biophysical signals such as photoplethysmography signals that are acquired non-invasively from surface sensors placed on a patient while the patient is at rest. PPG waveform-based features or parameters may include PPG waveform features or parameters, VPG waveform features or parameters, and/or APG waveform features or parameters. The PPG waveform-based features or parameters can be used in a model or classifier to estimate metrics associated with the physiological state of a patient, including the presence or non-presence of a disease, medical condition, or an indication of either. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and/or severity and/or localization of diseases or conditions or in the treatment of said diseases or conditions.

57. 发明授权

US11476000B2 Methods and systems using mathematical analysis and machine learning to diagnose disease 有权
公开(公告)号：US11476000B2
公开(公告)日：2022-10-18
申请号：US16889478
申请日：2020-06-01
申请人： Analytics For Life Inc.
发明人： Timothy Burton , Shyamlal Ramchandani , Sunny Gupta
IPC分类号： A61B5/00 , G16H50/20 , A61B5/24 , A61B5/283 , A61B5/316 , A61B5/02 , A61B5/341
摘要： 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., by expanding or contracting) portions of a given biopotential signal, in the frequency domain, the numeric-based operation gives emphasis or de-emphasis to certain measured frequencies of the biopotential signals, which, when coupled with machine learning, facilitates improved diagnostics of certain pathologies.

58. 发明申请

US20220192596A1 METHOD AND SYSTEM FOR ENGINEERING CYCLE VARIABILITY-RELATED FEATURES FROM BIOPHYSICAL SIGNALS FOR USE IN CHARACTERIZING PHYSIOLOGICAL SYSTEMS 有权
公开(公告)号：US20220192596A1
公开(公告)日：2022-06-23
申请号：US17558702
申请日：2021-12-22
申请人： Analytics for Life Inc.
发明人： Farhad Fathieh , Timothy William Fawcett Burton
IPC分类号： A61B5/00 , A61B5/021 , G16H50/20
摘要： The exemplified methods and systems facilitate the use, for diagnostics, monitoring, or treatment, of one or more cycle variability based features or parameters determined from biophysical signals such as cardiac or photoplethysmography signals that are acquired non-invasively from surface sensors placed on a patient while the patient is at rest. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and/or severity and/or localization of diseases or conditions or in the treatment of said diseases or conditions.

59. 发明申请

US20220142583A1 METHODS AND SYSTEMS TO QUANTIFY AND REMOVE ASYNCHRONOUS NOISE IN BIOPHYSICAL SIGNALS 有权
公开(公告)号：US20220142583A1
公开(公告)日：2022-05-12
申请号：US17503657
申请日：2021-10-18
申请人： Analytics For Life Inc.
发明人： Michael Garrett , Timothy William Fawcett Burton , Shyamlal Ramchandani , Abhinav Doomra
IPC分类号： A61B5/00 , G06F16/28 , G06K9/62 , A61B5/316 , A61B5/349 , A61B5/369
摘要： 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.

60. 发明授权

US10542897B2 Method and apparatus for wide-band phase gradient signal acquisition 有权
公开(公告)号：US10542897B2
公开(公告)日：2020-01-28
申请号：US15248838
申请日：2016-08-26
申请人： Analytics For Life
发明人： Sunny Gupta , Don Crawford , Timothy Burton , Shyamlal Ramchandani , Kristine Canavan
IPC分类号： A61B5/04 , A61B5/00 , A61B5/0428 , A61B5/1455 , A61B5/0404 , A61B5/0476 , A61B5/0408
摘要： 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 μs, 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.

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