Circadian phase estimation, modeling and control
First Claim
1. A method comprising:
- estimating a circadian phase of the subject using a circadian rhythm control system to facilitate regulating a subject'"'"'s circadian rhythm, the estimating comprising;
obtaining a sensed biological signal for the subject;
using, by one or more processors, adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the sensed biological signal;
sensing circadian light intensity exposure of the subject commensurate with a sensing of the sensed biological signal of the subject;
constructing a light-based circadian rhythm model for the subject using a linear parameter-varying system formulation with the sensed circadian light intensity as input and a model-based circadian phase of the subject as output;
using the light-based circadian rhythm model to ascertain and apply a phase correction to the adaptive frequency tracking providing the estimated circadian phase of the subject; and
the circadian rhythm control system initiating control of circadian light input to the subject based on the estimated circadian phase of the subject to regulate the subject'"'"'s circadian rhythm; and
wherein the adaptive frequency tracking utilizes an adaptive notch filter, and the measured biological signal obtained from the subject can be represented as a linear combination of N harmonics and a component;
n=d*+A*1 sin(*t+1)+A*2 sin(2*t+2)++A*N sin(N*t+N),wherein internal variables of the adaptive frequency tracking converge to;
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Abstract
Method, system and computer program product are provided for estimating a circadian phase of a subject by: obtaining a sensed biological signal for the subject; and using, by one or more processors, adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the sensed biological signal. Circadian phase estimation may be accelerated by providing a feedback loop for the adaptive frequency tracking, which utilizes, in part, a circadian phase model in automatically ascertaining a phase correction for the adaptive frequency tracking. The circadian phase estimation may be used in automatically constructing a light-based circadian rhythm model for the subject using a linear parameter-varying (LPV) formulation, and once constructed, the circadian rhythm model for the subject may be used to provide light-based circadian rhythm regulation.
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Citations
21 Claims
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1. A method comprising:
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estimating a circadian phase of the subject using a circadian rhythm control system to facilitate regulating a subject'"'"'s circadian rhythm, the estimating comprising; obtaining a sensed biological signal for the subject; using, by one or more processors, adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the sensed biological signal; sensing circadian light intensity exposure of the subject commensurate with a sensing of the sensed biological signal of the subject; constructing a light-based circadian rhythm model for the subject using a linear parameter-varying system formulation with the sensed circadian light intensity as input and a model-based circadian phase of the subject as output; using the light-based circadian rhythm model to ascertain and apply a phase correction to the adaptive frequency tracking providing the estimated circadian phase of the subject; and the circadian rhythm control system initiating control of circadian light input to the subject based on the estimated circadian phase of the subject to regulate the subject'"'"'s circadian rhythm; and wherein the adaptive frequency tracking utilizes an adaptive notch filter, and the measured biological signal obtained from the subject can be represented as a linear combination of N harmonics and a component;
n=d*+A*1 sin(*t+1)+A*2 sin(2*t+2)++A*N sin(N*t+N),wherein internal variables of the adaptive frequency tracking converge to; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method comprising:
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utilizing a circadian rhythm control system to facilitate regulating a subject'"'"'s circadian rhythm, the circadian rhythm control system; ascertaining a light-based circadian rhythm model for a subject, the ascertaining comprising; obtaining biological data from a subject and estimating therefrom circadian phase of the subject; sensing circadian light intensity exposure of the subject commensurate with obtaining the biological data; using, by one or more processors, a linear parameter-varying system formulation with the sensed circadian light as input and the estimated circadian phase of the subject as output to ascertain the light-based circadian rhythm model; and initiating, via the circadian rhythm control system, control of circadian light input to the subject based on the ascertained light-based circadian rhythm model for the subject to regulate the subject'"'"'s circadian rhythm; wherein estimating circadian phase of the subject comprises using, by the one or more processors, adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the obtained biological data; and wherein the adaptive frequency tracking utilizes an adaptive notch filter, and measured biological signal obtained from the subject can be represented as a linear combination of N harmonics and a component;
n=d*+A*1 sin(*t+1)+A*2 sin(2*t+2)++A*N sin(N*t+N)wherein internal variables of the adaptive frequency tracking converge to; - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A system comprising:
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a circadian rhythm control system to facilitate regulating a subject'"'"'s circadian rhythm, the circadian rhythm control system comprising one or more processors, which facilitate; obtaining a sensed biological signal for the subject; using, by the one or more processors, adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the sensed biological signal; sensing circadian light intensity exposure of the subject commensurate with a sensing of the sensed biological signal of the subject; constructing a light-based circadian rhythm model for the subject using a linear parameter-varying system formulation with the sensed circadian light intensity as input and a model-based circadian phase of the subject as output; using the light-based circadian rhythm model to ascertain and apply a phase correction to the adaptive frequency tracking providing the estimated circadian phase of the subject; and the circadian rhythm control system initiating control of circadian light input to the subject based on the estimated circadian phase of the subject to regulate the subject'"'"'s circadian rhythm; and wherein the adaptive frequency tracking utilizes an adaptive notch filter, and measured biological signal obtained from the subject can be represented as a linear combination of N harmonics and a component;
n=d*+A*1 sin(*t+1)+A*2 sin(2*t+2)++A*N sin(N*t+N)wherein internal variables of the adaptive frequency tracking converge to;
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21. A computer program product for adaptively estimating circadian phase of a subject, the computer program product comprising:
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a non-transitory computer-readable storage medium readable by one or more processors and storing instructions for execution by the one or more processors for performing a method comprising; obtaining a sensed biological signal for the subject; using adaptive frequency tracking to adaptively estimate the circadian phase of the subject from the sensed biological signal; sensing circadian light intensity exposure of the subject commensurate with a sensing of the sensed biological signal of the subject; constructing a light-based circadian rhythm model for the subject using a linear parameter-varying system formulation with the sensed circadian light intensity as input and a model-based circadian phase of the subject as output; using the light-based circadian rhythm model to ascertain and apply a phase correction to the adaptive frequency tracking providing the estimated circadian phase of the subject; and initiating control of circadian light input to the subject based on the estimated circadian phase of the subject to regulate the subject'"'"'s circadian rhythm; and wherein the adaptive frequency tracking utilizes an adaptive notch filter, and measured biological signal obtained from the subject can be represented as a linear combination of N harmonics and a component;
n=d*+A*1 sin(*t+1)+A*2 sin(2*t+2)++A*N sin(N*t+N)wherein internal variables of the adaptive frequency tracking converge to;
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Specification