TREND PREDICTION DEVICE

• US 20090112069A1
• Filed: 09/25/2008
• Published: 04/30/2009
• Est. Priority Date: 10/31/2007
• Status: Abandoned Application

• Current Assignee: Sanyo Electric Company Limited (Panasonic Holdings Corporation)
• Original Assignee: Sanyo Electric Company Limited (Panasonic Holdings Corporation)
• Inventors: Fujiwara, Yoshihisa, KANAMORI, Nobuhiro
• Application Number:
  US12/237,760
• Publication Number:
  US 20090112069A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A trend prediction device that is versatile and capable of improving the accuracy of predicting a trend in a user'"'"'s physical condition is provided. The trend prediction device includes: a sensor-data converter configured to convert sensor data detected by a sleep sensor into a sleep-related parameter for making a physical-data-trend judgment; a parameter acquisition unit configured to acquire a lifestyle-related parameter that indicates an action of the user during a non-sleeping period, and possibly changing the physical-data trend; and a parameter comparator configured to compare the sleep-related and the lifestyle-related parameters with respective reference parameters. The trend prediction device is configured to judge whether the physical data has an increase or a decrease in trend on the basis of the comparison result of the sleep-related and the lifestyle-related parameters with their respective reference parameters.

Claims

1. A trend prediction device that indicates the physical conditions of a user, comprising:

a first parameter acquisition unit configured to acquire values of a first judgment parameter for the user'"'"'s sleep, which is a quantified factor affecting the physical data;

a second parameter acquisition unit configured to acquire values of a second judgment parameter for an action of the user during non-sleeping, which is a quantified factor affecting the physical data;

a parameter accumulator configured to accumulate the acquired values of the first and second judgment parameters;

a reference parameter calculator configured to calculate a first reference parameter from the values of the first judgment parameter accumulated in the parameter accumulator and to calculate a second reference parameter on the basis of the values of the second judgment parameter accumulated in the parameter accumulator;

a parameter comparator configured to compare each of the values of the first judgment parameter with the first reference parameter and to compare each of the values of the second judgment parameter with the second reference parameter; and

a trend judgment unit configured to detect an increased or decreased trend in a parameter by comparing each value of the first judgment parameter with the first reference parameter and from comparing each value of the second judgment parameter with the second reference parameter.

2. The device of claim 1, wherein the first judgment parameter is obtained by converting sensor data detected by a sleep sensor disposed in a bed.

3. The device of claim 1, wherein the parameter comparator calculates a set of ratios of the first reference parameter with the first judgment parameter values and a set of ratios of the second reference parameter with the second judgment parameter values.

4. The device of claim 3, wherein

the trend judgment unit comprises:

a mean-value calculator configured to calculate a mean value of each set of ratios calculated by the parameter comparator; and

a prediction unit configured to determine a degree of increased or decreased trend of physical data from the mean values calculated by the mean-value calculator.

5. The device of claim 4, wherein

the trend judgment unit further comprises storage for a judgment-table configured to store the mean values of ratios between the values of the first reference parameter and the first judgment parameter, and

the prediction unit judges the degree of increase or decrease in physical data from the mean values calculated by the mean-value calculator and from values stored in the judgment table.

6. The device of claim 1, further comprising:

a parameter extractor configured to extract, at least one first judgment parameter value obtained by the first parameter acquisition unit and at least one second judgment parameter value obtained by the second parameter acquisition unit, wherein

the parameter comparator compares the first judgment parameter extracted by the parameter extractor with the first reference parameter and compares the second judgment parameter extracted by the parameter extractor with the second reference parameter.

7. The device of claim 6, further comprising:

a table holding unit configured to hold a parameter-to-be-used table that associates physical data to be predicted with the first judgment parameter and the second judgment parameter that are to be extracted by the parameter extractor;

a factor detector configured to detect, among the first judgment parameters and the second judgment parameters, a factor parameter that causes a change in the trend of the physical data, from a judgment by the trend judgment unit; and

a table updater configured to update the parameter-to-be-used table by use of the factor parameter detected by the factor detector.

8. The device of claim 1, further comprising a judgment-result notification unit configured to notify the user of the result of a judgment performed by the trend judgment unit.

9. The device of claim 1, wherein the reference-parameter calculator calculates the first reference parameter from any one of a mean value, a median value, and a mode value of the past values of the first judgment parameter accumulated in the parameter accumulator.

10. A trend prediction system that indicates a physical condition of a user, comprising:

a sleep sensor installed in abed, configured to detect vibration from a user and to output sensor data;

a first parameter acquisition unit configured to acquire the sensor data as a first judgment parameter from the sleep sensor.

a second parameter acquisition unit configured to acquire values of a second judgment parameter indicating an action of the user during non-sleeping, which is a quantified factor affecting the physical data;

a parameter accumulator configured to accumulate the acquired values of the first judgment parameter and the acquired values of the second judgment parameter;

a reference parameter calculator configured to calculate a first reference parameter from the values of the first judgment parameter accumulated in the parameter accumulator and to calculate a second reference parameter from the values of the second judgment parameter accumulated in the parameter accumulator;

a parameter comparator configured to compare each value of the first judgment parameter with the first reference parameter and to compare value of the second judgment parameter with the second reference parameter; and

a trend judgment unit configured to detect an increased or decreased trend from comparing each value of the first judgment parameter with the first reference parameter from comparing each value of the second judgment parameter with the second reference parameter.

11. The system of claim 10, wherein the parameter comparator calculates a set of ratios of the first reference parameter with the first judgment parameter as well as a set of ratios of the second reference parameter with the second judgment parameter.

12. The system of claim 11, wherein

the trend judgment unit comprises:

a mean-value calculator configured to calculate a mean value of each set of ratios calculated by the parameter comparator; and

a prediction unit configured to detect an increased or decreased trend of physical data from the mean value calculated by the mean-value calculator.

13. The system of claim 12, wherein

the trend judgment unit further comprises a judgment-table storage configured to store the mean value of the ratios between the values of the first reference parameter and the first judgment parameter, and wherein

the prediction unit detects increased or decreased trend of physical data from the mean value calculated by the mean-value calculator and from the degree stored in the judgment table.

14. The system of claim 10, further comprising:

a parameter extractor configured to extract, depending on a type of the physical data to be predicted, at least a value of the first judgment parameters obtained by the first parameter acquisition unit and at least a value of the second judgment parameters obtained by the second parameter acquisition unit, wherein

the parameter comparator compares the first judgment parameter extracted by the parameter extractor with the first reference parameter and compares the second judgment parameter extracted by the parameter extractor with the second reference parameter.

15. The system of claim 14, further comprising:

a table holding unit configured to hold a parameter-to-be-used table that associates the kind of the physical data to be predicted with the first judgment parameter and the second judgment parameter that are to be extracted by the parameter extractor;

a factor detector configured to detect, among the first judgment parameters and the of second judgment parameters, a factor parameter that causes a change in the physical data, from the judgment performed by the trend judgment unit; and

a table updater configured to update the parameter-to-be-used table by use of the factor parameter detected by the factor detector.

16. The system of claim 10, further comprising a judgment-result notification unit configured to notify the user of the judgment performed by the trend judgment unit.

17. The system of claim 10, wherein the reference-parameter calculator calculates the first reference parameter from any one of a mean value, a median value, and a mode value of the past values of the first judgment parameter accumulated in the parameter accumulator.