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公开(公告)号：US20230009430A1
公开(公告)日：2023-01-12
申请号：US17871634
申请日：2022-07-22
发明人： Philip Stephens
摘要： In some embodiments, features related to inter-beat intervals (IBI) detected by a PPG sensor of a wearable device are extracted and provided to a cardiovascular classifier in order to detect likely instances of a cardiac condition such as atrial fibrillation. Some embodiments use features related to the entropy of the IBI data to improve the predictions generated by the cardiovascular classifier. In some embodiments, co-information between the IBI data and IBI data gathered from healthy and AF populations is determined in order to derive features that represent the probability that a given sample of IBI data represents AF or a normal sinus rhythm. In response to determining likely instances of AF based on these features, the wearable device may obtain clinically acceptable data, such as an ECG, to be transmitted to a separate device for review by a clinician.
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公开(公告)号：US20210052175A1
公开(公告)日：2021-02-25
申请号：US16550087
申请日：2019-08-23
发明人： Philip Stephens , Michael McConnell , Allen Keel
摘要： In some embodiments, features are extracted from a waveform generated by a photoplethysmograph (PPG) sensor of a wearable device. These features are used to train and use classifier models to detect likely instances of cardiovascular conditions that affect blood flow during a cardiac cycle, including but not limited to atrial fibrillation. In some embodiments, the features are extracted based on the shape of the waveform, including one or more of an amplitude, an upslope rate, a downslope rate, and differentials thereof over time. In some embodiments, data from an inertial measurement unit (IMU) is used to filter and/or compensate for motion artifacts in the PPG data. The use of data generated by PPG sensors allows long-term, non-invasive monitoring for cardiovascular conditions without requiring further actions to be taken by the user to obtain data using other means.
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公开(公告)号：US20210052229A1
公开(公告)日：2021-02-25
申请号：US16544719
申请日：2019-08-19
发明人： Philip Stephens
摘要： In some embodiments, features related to inter-beat intervals (IBI) detected by a PPG sensor of a wearable device are extracted and provided to a cardiovascular classifier in order to detect likely instances of a cardiac condition such as atrial fibrillation. Some embodiments use features related to the entropy of the IBI data to improve the predictions generated by the cardiovascular classifier. In some embodiments, co-information between the IBI data and IBI data gathered from healthy and AF populations is determined in order to derive features that represent the probability that a given sample of IBI data represents AF or a normal sinus rhythm. In response to determining likely instances of AF based on these features, the wearable device may obtain clinically acceptable data, such as an ECG, to be transmitted to a separate device for review by a clinician.
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公开(公告)号：US10182746B1
公开(公告)日：2019-01-22
申请号：US15659183
申请日：2017-07-25
发明人： Emre Demiralp , Hongsheng Wang , Philip Stephens
摘要： Systems and techniques are disclosed for decoupling a wearable sensor's location on a user from the body movements desired to be measured by the sensor. Sensor data can be dynamically analyzed to determine a reference event (e.g., a static pose), which can be used to generate or update a transformation parameter (e.g., a quaternion or a rotational matrix). The transformation parameter can be applied to sensor data to transform the sensor data from the sensor's frame of reference to a global frame of reference. Once transformed, the movement data in the global frame can be analyzed to identify sensor-location-agnostic biomechanical features (e.g., body movements or movement trends), which can be further analyzed to identify probable or potential diagnoses correlated with the identified biomechanical features.
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