METHOD FOR DETERMINING A FEATURE OF THE CIRCADIAN RHYTHM OF A SUBJECT

• US 20130218030A1
• Filed: 10/05/2011
• Published: 08/22/2013
• Est. Priority Date: 10/27/2010
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Barroso, Andre Melon, Sarroukh, Bahaa, Maria, Lucas Josef
• Application Number:
  US13/881,406
• Publication Number:
  US 20130218030A1
• Time in Patent Office: Days
• US Class Current: 600/483
• CPC Class Codes: A61B 5/4857 Indicating the phase of biorhythm clocks or watches with indicators for biological cycles G04B19/264
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The invention relates to method for determining a feature of the circadian rhythm of the subject, comprising measuring a first input signal indicating a cardiac function of the subject, measuring at least one second input signal indicating the activity of the subject, combining the first input signal and the second input signal to a periodic output signal representing the circadian rhythm of the subject, and determining at least one feature of this periodic output signal.

Claims

1. A method for determining a feature of the circadian rhythm of a subject, comprising the following steps:

sampling a first input signal indicating a cardiac function of the subject over a time period T to result in a number of first input signal values x′

_n;

sampling at least one second input signal indicating the activity of the subject over a time period overlapping the time period T to result in a number of second input signal values x_n;

calculating a number of output signal values y_n from the first input signal values x′

_n and second input signal values x_n according to an autoregressive moving average model (ARMAX) with the first input signal values x′

_n and second input signal values x_n as exogenous inputs;

deriving a periodic output signal from the calculated number of output signal values y_n by harmonic regression analysis;

determining an oscillation parameter as a feature of this periodic output signal.

2. The method according to claim 1,

wherein said feature is the acrophase of the periodic output signal y_n.

3. The method according to claim 1,

wherein said feature is the amplitude of the periodic output signal y_n.

4. The method according to claim 1,

wherein the first input signal values x′

_n and the second input signal values x_n are gained by sampling at a frequency above 1 Hz.

5. The method according to claim 4,

wherein the first input signal values x′

_n or the second input signal values x_n are gained by sampling original signal values at a first frequency,

said original signal values being gained by sampling at a second frequency higher than the first frequency.

6. The method according to claim 1,

wherein the first input signal is the heart beat interval (IBI) of the subject.

7. The method according to claim 6,

wherein raw ECG signal values are gained by sampling a raw ECG signal at a second frequency of 512 Hz,

an IBI signal is derived from the gained ECG signal values,

and IBI signal values representing the first input signal values are gained by sampling the derived IBI signal at a first frequency of 60 Hz.

8. The method according to claim 1,

wherein the second input signal is a wrist actigraphy signal of the subject.

9. The method according to claim 1,

wherein the second input signal is a signal indicating the light exposure of the subject.

10. (canceled)

11. (canceled)

12. (canceled)