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公开(公告)号：US20240298904A1
公开(公告)日：2024-09-12
申请号：US18601569
申请日：2024-03-11
申请人： Whoop, Inc.
CPC分类号： A61B5/02225 , A61B5/02116 , A61B5/02433 , A61B5/681 , A61B5/6831 , A61B5/7235 , A61B5/7435 , A61B90/06 , A61B2090/064 , A61B2560/0233 , A61B2560/0462 , A61B2562/0233
摘要： A wearable physiological monitor is configured through a calibration procedure to provide a calibrated blood pressure measurement based on signals from an optical sensing system. In one aspect, optical (PPG) signals and motion signals are acquired while applying a mechanical stimulus over a range of mechanical frequencies with a haptic actuator. Resulting data is used to create a dynamic model for calculating blood pressure based on motion of the monitor. This blood pressure measurement can also usefully be correlated to the PPG signal for continuous blood pressure estimation. In another aspect, a monitoring device is positioned over a radial artery, and then optical measurements are taken of the radial artery while varying (and measuring) an applied force. Using various techniques, a model can be derived from this data for continuous blood pressure estimation.
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公开(公告)号：US11986323B2
公开(公告)日：2024-05-21
申请号：US17536331
申请日：2021-11-29
申请人： Whoop, Inc.
IPC分类号： A61B5/00 , A61B5/0205 , A61B5/024 , G06F18/243 , A61B5/0245 , A61B5/0533 , A61B5/08 , A61B5/11 , A61B5/145
CPC分类号： A61B5/7267 , A61B5/02055 , A61B5/02416 , A61B5/02438 , A61B5/681 , A61B5/7221 , G06F18/24323 , A61B5/0022 , A61B5/02405 , A61B5/0245 , A61B5/0533 , A61B5/0816 , A61B5/1118 , A61B5/14542 , A61B5/4812 , A61B5/4815 , A61B5/4866 , A61B5/6831 , A61B2560/0209 , A61B2560/0223 , A61B2560/0242 , A61B2562/0219
摘要： A model of data quality is derived for physiological monitoring with a wearable device by comparing data from the wearable device to concurrent data acquisition from a ground truth device such as a chest strap or electrocardiography (EKG) heart rate monitor. With this comparative data, a machine learning model or the like may be derived to prospectively evaluate data quality based on the data acquisition context, as determined, for example, by other sensor data and signals from the wearable device.
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公开(公告)号：US20230284980A1
公开(公告)日：2023-09-14
申请号：US18182197
申请日：2023-03-10
申请人： Whoop, Inc.
CPC分类号： A61B5/684 , A61B5/02416
摘要： A physiological monitor uses a light source and a number of detectors to determine whether a physiological monitor is positioned for acquisition of physiological data. More specifically, an intensity of the light source, as measured at two photodetectors at different distances from the light source, can be used to accurately detect whether the monitor is properly positioned for use. The disclosed methods may advantageously leverage existing physiological monitoring hardware (such as light emitting diodes and photodetectors), and may improve on the accuracy of prior art techniques using, e.g., capacitive sensors and/or other hardware to detect proper device positioning.
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公开(公告)号：US20190110755A1
公开(公告)日：2019-04-18
申请号：US16163441
申请日：2018-10-17
申请人： Whoop, Inc.
IPC分类号： A61B5/00 , A61B5/024 , A61B5/0245 , G06K9/62
摘要： A model of data quality is derived for physiological monitoring with a wearable device by comparing data from the wearable device to concurrent data acquisition from a ground truth device such as a chest strap or electrocardiography (EKG) heart rate monitor. With this comparative data, a machine learning model or the like may be derived to prospectively evaluate data quality based on the data acquisition context, as determined, for example, by other sensor data and signals from the wearable device.
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公开(公告)号：US09596997B1
公开(公告)日：2017-03-21
申请号：US15265761
申请日：2016-09-14
申请人： Whoop, Inc.
IPC分类号： A61B5/04 , A61B5/0402 , A61B5/024 , A61B5/00
CPC分类号： A61B5/02405 , A61B5/02416 , A61B5/04012 , A61B5/04014 , A61B5/04017 , A61B5/1118 , A61B5/1123 , A61B5/6831 , A61B5/721
摘要： A physiological signal such as a heart rate acquired from a monitoring device is processed to reduce interference, ambiguity, or artifacts arising during various activities. For example, the system can process a physiological signal to account for motion artifacts in the physiological signal and, thus, reduce the impact of movement on the physiological signal. Additionally, or alternatively, the system can process a physiological signal based on one or more measurement contexts associated with a wearable device. In general, the physiological signal processed as described herein can be useful as a reliable, continuous indication of a physiological parameter and, thus, can serve as the basis for other physiological assessments (e.g., heart rate variability) derived from the physiological parameter.
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