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公开(公告)号:US20230072872A1
公开(公告)日:2023-03-09
申请号:US17983343
申请日:2022-11-08
申请人: AventuSoft, LLC
发明人: Arash Andalib , Kaustubh Kale
IPC分类号: A61B5/0205 , A61B5/00 , A61B5/257
摘要: A health sensor system and method can include a wearable non-invasive biosensor for capturing cardiac waveform signals such as electrocardiogram (ECG) signals and composite vibration objects over one or more channels, one or more processors operatively coupled to the wearable non-invasive biosensor, and memory having computer instructions which causes the system to perform certain operations. In some embodiments, the operations can include powering the health sensor system in response to receiving a radio frequency signal using a near field communication protocol, monitoring pulmonary artery pressures based on cardiac time intervals during a period when the health sensor system is powered by the radio frequency signal, performing a heart and lung function assessment based on the monitoring of the pulmonary artery pressures, and presenting the heart and lung function assessment. In some embodiments, the biosensor can be a single NFC patch biosensor.
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公开(公告)号:USD972150S1
公开(公告)日:2022-12-06
申请号:US29706052
申请日:2019-09-17
申请人: AventuSoft, LLC
设计人: Kaustubh Kale , Zaffer Merchant
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公开(公告)号:US20230131629A1
公开(公告)日:2023-04-27
申请号:US17982510
申请日:2022-11-07
申请人: AventuSoft, LLC
发明人: Kan Li , Kaustubh Kale
IPC分类号: A61B5/0205 , A61B5/02 , A61B5/00
摘要: A system for noninvasive extraction, identification, and marking of the heart valve signals to evaluate and monitor elevated left ventricular end-diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) using at rest assessment of hemodynamic performance, based on quantitative measurements of heart and lung related parameters and cardiac events for diagnostic and therapeutic purposes includes one or more signals from one or more noninvasive sensors or transducers that measure one or more physiological effects that are correlated with cardiopulmonary functions, transmission of the data to a computing device and analysis software where a trained algorithm processes the data to determine the state or condition of elevated LVEDP or PCWP and provides an output indicative of the state or condition of the analysis. The described noninvasive cardiopulmonary health assessment and monitoring systems and methods can provide effective at-home self-assessment or an integrated telehealth remote patient monitoring (RPM) system.
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公开(公告)号:US20190133481A1
公开(公告)日:2019-05-09
申请号:US16237748
申请日:2019-01-01
申请人: AventuSoft, LLC
IPC分类号: A61B5/0472 , A61B5/00 , A61B5/024 , A61B5/046
摘要: A method and system of assessing and monitoring of cardiopulmonary diseases can include the steps of receiving a composite signal representative of individual events from a plurality of sources associated with a patients cardio-pulmonary system and separating an individual signal as a separate component of the composite signal where the individual signal i s representative of an individual event from one of a plurality of cardio-pulmonary events. The method and system can further include and deriving clinical findings responsive from the separating and presenting the clinical findings.
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公开(公告)号:US20170188869A1
公开(公告)日:2017-07-06
申请号:US15397040
申请日:2017-01-03
申请人: AventuSoft, LLC
IPC分类号: A61B5/0468 , A61B5/0205 , A61B5/00
CPC分类号: A61B5/7282 , A61B5/0006 , A61B5/0008 , A61B5/0022 , A61B5/02028 , A61B5/0205 , A61B5/02055 , A61B5/024 , A61B5/02444 , A61B5/04014 , A61B5/04017 , A61B5/0404 , A61B5/04325 , A61B5/0456 , A61B5/0468 , A61B5/0816 , A61B5/1102 , A61B5/6801 , A61B5/6802 , A61B5/6831 , A61B5/6833 , A61B5/7214 , A61B5/7225 , A61B7/04 , A61B2562/0204 , A61B2562/0219 , A61B2562/06 , G06F19/00 , G16H40/67
摘要: A system for monitoring and diagnosing heart conditions includes a sensor array with accelerometers, an electrocardiogram sensor, and a system to capture and process the composite heart signals. The system performs source separation to extract information contained in cardio pulmonic vibrations. The system can use machine learning, auditory scene analysis, spare coding, determined Models, Principal Component Analysis (PCA), Independent Component Analysis ICA, Singular Value Decomposition (SVD), Bin-wise Clustering and Permutation posterior probability alignment, Undetermined Models, Sparseness condition, Dictionary learning, Convolutive models, K-SVD Matching Pursuit, Non-negative matrix factorization and Deep Belief Networks (Restricted Boltzmann Machine) approaches to the source separation problem. Other embodiments are disclosed.
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公开(公告)号:US11490849B2
公开(公告)日:2022-11-08
申请号:US16741740
申请日:2020-01-13
申请人: AventuSoft, LLC
发明人: Kaustubh Kale , Arash Andalib
摘要: A system for marking cardiac time intervals from heart valve signals includes a non-invasive sensor unit for capturing electrical signals and composite vibration objects, a memory containing computer instructions, and one or more processors coupled to the memory. The one or more processors causes the one or more processors to perform operations including separating a plurality of individual heart vibration events into heart valve signals from the composite vibration objects, and marking cardiac time interval from the heart valve signals by detecting individual heartbeats using at least one or more of a PCA algorithm or deep learning.
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公开(公告)号:US10165985B2
公开(公告)日:2019-01-01
申请号:US15397040
申请日:2017-01-03
申请人: AventuSoft, LLC
IPC分类号: A61B5/00 , A61B5/0404 , A61B5/0456 , A61B5/0205 , A61B5/0468 , A61B5/024 , A61B5/04 , A61B5/0432 , A61B5/11 , A61B5/02 , G06F19/00 , G16H40/67 , A61B5/08
摘要: A system for monitoring and diagnosing heart conditions includes a sensor array with accelerometers, an electrocardiogram sensor, and a system to capture and process the composite heart signals. The system performs source separation to extract information contained in cardio pulmonic vibrations. The system can use machine learning, auditory scene analysis, spare coding, determined Models, Principal Component Analysis (PCA), Independent Component Analysis ICA, Singular Value Decomposition (SVD), Bin-wise Clustering and Permutation posterior probability alignment, Undetermined Models, Sparseness condition, Dictionary learning, Convolutive models, K-SVD Matching Pursuit, Non-negative matrix factorization and Deep Belief Networks (Restricted Boltzmann Machine) approaches to the source separation problem. Other embodiments are disclosed.
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公开(公告)号:US20170188868A1
公开(公告)日:2017-07-06
申请号:US15397088
申请日:2017-01-03
申请人: AventuSoft, LLC
IPC分类号: A61B5/0452 , A61B5/0432 , A61B5/024 , A61B5/04 , A61B5/00
CPC分类号: A61B5/7282 , A61B5/0006 , A61B5/0008 , A61B5/0022 , A61B5/0044 , A61B5/02028 , A61B5/0205 , A61B5/02055 , A61B5/024 , A61B5/02438 , A61B5/02444 , A61B5/04014 , A61B5/04017 , A61B5/0404 , A61B5/04325 , A61B5/0456 , A61B5/046 , A61B5/0468 , A61B5/0472 , A61B5/0536 , A61B5/0816 , A61B5/1102 , A61B5/1107 , A61B5/6801 , A61B5/6802 , A61B5/6831 , A61B5/6833 , A61B5/7203 , A61B5/7214 , A61B5/7225 , A61B5/7246 , A61B5/725 , A61B5/7257 , A61B5/7275 , A61B7/04 , A61B2562/0204 , A61B2562/0219 , A61B2562/06 , G06F19/00 , G16H40/67 , G16H50/30
摘要: A system for identifying heart valve signals includes a non-invasive sensor unit for capturing electrical signals and composite vibration objects, a memory containing computer instructions, and one or more processors coupled to the memory, where the one or more processors are configured to perform the steps of separating a plurality of individual heart vibration events from the composite vibration objects by using at least one among bin-wise clustering and permutation alignment, or non-negative matrix factorization, or deep belief networks and tagging the plurality of individual heart vibration events using at least one among principal component analysis, Gabor filtering, generalized cross correlation, phase transform, smoothed coherent transformation, Roth correlation or band filtering.
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公开(公告)号:US20240188835A1
公开(公告)日:2024-06-13
申请号:US18444684
申请日:2024-02-17
申请人: AventuSoft, LLC
发明人: Claudia Iannini , Kaustubh Kale
CPC分类号: A61B5/0205 , A61B5/02007 , A61B5/1102 , A61B5/7221 , A61B7/00 , A61B5/08
摘要: A method or system for noninvasive evaluating and monitoring of abnormal cardiopulmonary vibrations includes obtaining one or more signals using one or more noninvasive heart and/or lung vibration signal sensors or transducers that provide a measure of physiological effects that are correlated with cardiopulmonary functions, recording, by a processor and one or more heart and/or lung vibration signal sensors or transducers for turbulence recordings between a first and second cardiopulmonary sounds, analyzing the turbulence recordings for unique vibration signatures associated with cardiopulmonary disease by searching deviations from an average beat, and presenting an assessment of cardiopulmonary disease upon finding that the deviations are above a predetermined threshold. In some embodiments, the system and method further include seeking a largest mean absolute error of a specific segment between an average beat and each beat from a subject to provide a murmur level indicative of cardiopulmonary disease.
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公开(公告)号:US20200170527A1
公开(公告)日:2020-06-04
申请号:US16741740
申请日:2020-01-13
申请人: AventuSoft, LLC
发明人: Kaustubh Kale , Arash Andalib
摘要: A system for marking cardiac time intervals from heart valve signals includes a non-invasive sensor unit for capturing electrical signals and composite vibration objects, a memory containing computer instructions, and one or more processors coupled to the memory. The one or more processors causes the one or more processors to perform operations including separating a plurality of individual heart vibration events into heart valve signals from the composite vibration objects, and marking cardiac time interval from the heart valve signals by detecting individual heartbeats using at least one or more of a PCA algorithm or deep learning.
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