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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：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：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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