Hydration assessment system
Inventors
Robinson, Mark Ries • Allen, Elena A • Derby, Cole • NAKAZAWA, Akifusa • Liao, Haiping • Makay, Michael Chad
Assignees
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Publication Number
US-11911179-B2
Publication Date
2024-02-27
Expiration Date
Abstract
The present invention provides methods and systems that provide for reliable, convenient, and noninvasive assessment of hydration status. The methods and apparatuses can use the temporal sequence of the aortic value opening and closing along with the user's body position to derive parameters that determine the hydration status of the user. The user can use this information to make near-term lifestyle changes that can improve physical performance, health, and general wellbeing.
Core Innovation
The invention relates to a wearable, noninvasive hydration assessment system and methods for determining a current hydration status of a user. The method acquires a signal from a wearable sensor configured to detect changes in blood volume in a measurement region of the user, and the detected changes are indicative of opening and closing of the user’s aortic valve while the user is in one or more distinct postures.
An analysis system determines ejection time from an aortic valve opening until a subsequent aortic valve closing and interbeat interval from an aortic valve opening until a subsequent aortic valve opening. A hydration determination model determines hydration status from one or more ejection times and one or more interbeat intervals, including signal determined at one or more postures, and the current hydration status is communicated to the user.
In further implementations, the hydration determination model is a deep learning model with multiple layers of weights. A posture determination system determines the user’s posture and maintenance of the posture during acquisition, and the hydration determination system determines a first ejection time and a first interbeat interval at a first posture and a second ejection time and a second interbeat interval at a second posture for determining hydration status from the first and second postures.
Claims Coverage
The partial document contains three independent claims. Across these claims, the coverage centers on detecting aortic valve opening and closing from a wearable sensor signal indicative of changes in blood volume, deriving ejection time and interbeat interval, applying a hydration determination model, optionally incorporating posture determination, and communicating the current hydration status to the user.
Wearable aortic valve timing signal indicative of blood volume changes
Acquiring a signal from a wearable sensor configured to detect changes in blood volume in a measurement region of the user, where the changes are indicative of opening and closing of the user’s aortic valve, while the user is in one or more distinct postures.
Deriving ejection time and interbeat interval from aortic valve events
Determining an ejection time from an aortic valve opening until a subsequent aortic valve closing and an interbeat interval from an aortic valve opening until a subsequent aortic valve opening.
Hydration determination model for hydration status from ejection time and interbeat interval
Providing a hydration determination model configured to determine a hydration status of the user from one or more ejection times and one or more interbeat intervals and using the hydration determination model to determine the current hydration status of the user.
Deep learning model with multiple layers of weights for hydration determination
Providing a hydration determination model configured to determine the hydration status of the user from the signal determined at one or more postures, wherein the hydration determination model is a deep learning model with multiple layers of weights, and using the hydration determination model to determine the current hydration status of the user.
Nonobtrusive wearable sensor in activities of daily life
Acquiring a signal from a wearable sensor nonobtrusive to the activities of daily life, where the sensor is configured to detect changes in blood volume in a measurement region of the user, where the changes are indicative of opening and closing of the user’s aortic valve, while the user is in one or more distinct postures.
Posture determination and posture-specific ejection times and interbeat intervals
Providing a posture determination system configured to determine the user’s posture and maintenance of the posture by the user during acquisition of the signal, and determining a first ejection time and a first interbeat interval at a first posture, and a second ejection time and a second interbeat interval at a second posture, for determining the hydration status from the first and second postures.
Communicating current hydration status
Communicating the current hydration status to the user.
Across the independent claims, the method determines current hydration status by acquiring a wearable sensor signal indicative of aortic valve opening and closing, deriving ejection time and interbeat interval, and using a hydration determination model to compute hydration status. The coverage also includes implementations using a deep learning model with multiple layers of weights and, in another independent claim, posture determination with posture-specific ejection times and interbeat intervals, followed by communicating the current hydration status to the user.
Stated Advantages
Documented Applications
No documented applications found
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