Information processing apparatus, method and storage medium

1. An information processing apparatus comprising:

a storage configured to store sets of parameters for each of a supine position and a seated position of a user, each set of parameters comprising first to sixth parameters including four parameters respectively applied to each of a basic first attribute of the user, a second attribute related to a physique of the user, a blood total cholesterol value of the user, and a feature, the four applied parameters being obtained by carrying out a multiple regression analysis using the first attribute, the second attribute, the blood total cholesterol value, and the feature as input variables, and using a first blood pressure value measured in advance as a response variable; and

a processor connected to the storage and configured to:

acquire the first attribute, second attribute, blood total cholesterol value, and a biological signal related to a living body of the user;

calculate the feature in the biological signal;

estimate the seated position or the supine position as an attitude of the user, based on a direction of acceleration due to gravity detected by an acceleration sensor;

select the set of first to sixth parameters for the seated position or the supine position estimated as the attitude of the user; and

calculate a second blood pressure value of the user, by applying the selected first to sixth parameters to the acquired first attribute, second attribute, blood total cholesterol value, and the feature, according to Equation (1):

α1*MPWTT+α2*MRRI+α3* P 1+α4* P 2+α5* P 3+α6,  (1)

where MPWTT is a mean pulse wave transit time of the user, MRRI is a heartbeat interval of the user, P 1 is the first attribute, P 2 is the second attribute, P 3 is the blood total cholesterol value, and α 1 -α 6 are the first to sixth parameters.

2. The information processing apparatus of claim 1 , wherein the processor is configured to:

acquire, as the biological signal, a first pulse wave signal related to a pulse wave at a first body surface position of the user, and a second pulse wave signal related to a pulse wave at a second body surface position of the user different from the first body surface position or an electrocardiographic signal related to an electrical activity of a heart of the user; and

calculate the mean pulse wave transit time or a pulse wave velocity, based on the first pulse wave signal, and the second pulse wave signal or the electrocardiographic signal.

3. The information processing apparatus of claim 1 , wherein the processor is configured to:

acquire, as the biological signal, a pulse wave signal related to a pulse wave or an electrocardiographic signal related to an electrical activity of a heart of the user; and

calculate the heartbeat interval or a heart rate, based on the pulse wave signal or the electrocardiographic signal.

4. The information processing apparatus of claim 1 , wherein the processor is configured to acquire a pulse wave signal related to a pulse wave of the user as the biological signal.

5. The information processing apparatus of claim 1 , wherein

the information processing apparatus is communicably connected to a biological sensor, the biological sensor configured to be attached to the user when used and being configured to measure the biological signal, and

the processor is configured to acquire the biological signal from the biological sensor.

6. The information processing apparatus of claim 1 , wherein

the processor is configured to acquire at least one of age, sex, and race of the user as the first attribute, or acquire at least one of a regional length of a body region of the user and an index value indicating a degree of a corpulent physique of the user as the second attribute, and

the first attribute or the second attribute is acquired based on a captured image of the user.

7. The information processing apparatus of claim 6 , wherein when a value of the second attribute is the regional length, the regional length includes at least one of a neck circumference, an abdominal circumference, and a hip circumference of the user.

8. The information processing apparatus of claim 6 , wherein when a value of the second attribute is the index value, the index value includes at least one of a body mass index (BMI) value, a body adiposity index (BAI) value, a degree of corpulence, and body fat percentage.

9. The information processing apparatus of claim 1 , wherein

the processor is configured to acquire at least one of age, sex, race, disease history, drinking history, and smoking history of the user as the first attribute, acquire at least one of a regional length of a body region of the user and an index value indicating a degree of a corpulent physique of the user as the second attribute, and

the first attribute, the second or the blood total cholesterol value is acquired from an external device communicably connected to the information processing apparatus.

10. The information processing apparatus of claim 1 , wherein

the processor is configured to acquire at least one of age, sex, race, disease history, drinking history, and smoking history of the user as the first attribute, or acquire at least one of a regional length of a body region of the user and an index value indicating a degree of a corpulent physique of the user as the second attribute.

11. The information processing apparatus of claim 1 , wherein

the blood total cholesterol value is a blood test result of the user, and

the processor is configured to acquire the blood test result from an external device communicably connected to the information processing apparatus.

12. The information processing apparatus of claim 1 , wherein the processor is configured to:

acquire the biological signal from a biological sensor configured to measure the biological signal via contact with a predetermined measured region of the user; and

change a position of the biological sensor to make a relative position of the measured region with respect to a position of a heart estimated from a captured image of the user fall within a predetermined range.

13. The information processing apparatus of claim 1 , comprising a display configured to display the second blood pressure value.

14. The information processing apparatus of claim 1 , further comprising a transmitter configured to transmit the second blood pressure value to an external device communicably connected to the information processing apparatus.

15. A method comprising:

storing sets of parameters for each of a supine position and a seated position of a user, each set of parameters comprising first to sixth parameters including four parameters respectively applied to each of a basic first attribute of the user, a second attribute related to a physique of the user, a blood total cholesterol value of the user, and a feature, the four applied parameters being obtained by carrying out a multiple regression analysis using the first attribute, the second attribute, the blood total cholesterol value, and the feature as input variables, and using a first blood pressure value measured in advance as a response variable;

acquiring the first attribute;

acquiring the second attribute;

acquiring the blood total cholesterol value;

acquiring a biological signal related to a living body of the user;

calculating, using a processor, the feature in the biological signal;

estimating, using the processor, the seated position or the supine position as an attitude of the user, based on a direction of acceleration due to gravity detected by an acceleration sensor;

selecting, using the processor, the set of the first to sixth parameters for the seated position or the supine position estimated as the attitude of the user; and

calculating, using the processor, a second blood pressure value of the user, by applying the selected first to sixth parameters to the acquired first attribute, second attribute, blood total cholesterol value, and the feature, according to Equation (1):

α1*MPWTT+α2*MRRI+α3* P 1+α4* P 2+α5* P 3+α6,  (1)

where MPWTT is a mean pulse wave transit time of the user, MRRI is a heartbeat interval of the user, P 1 is the first attribute, P 2 is the second attribute, P 3 is the blood total cholesterol value, and α 1 -α 6 are the first to sixth parameters.

16. A non-transitory computer-readable storage medium having stored thereon a computer program which is executable by a computer, the computer program comprising instructions capable of causing the computer to execute functions of:

acquiring stored sets of parameters for each of a supine position and a seated position of a user, each set of parameters comprising first to sixth parameters including four parameters respectively applied to each of a basic first attribute of the user, a second attribute related to a physique of the user, a blood total cholesterol value of the user, and a feature, the four applied parameters being obtained by carrying out a multiple regression analysis using the first attribute, the second attribute, the blood total cholesterol value, and the feature as input variables, and using a first blood pressure value measured in advance as a response variable;

acquiring the first attribute;

acquiring the second attribute;

acquiring the blood total cholesterol value;

acquiring a biological signal related to a living body of the user;

calculating the feature in the biological signal;

estimating the seated position or the supine position as an attitude of the user, based on a direction of acceleration due to gravity detected by an acceleration sensor;

selecting the first to sixth parameters for the seated position or the supine position estimated as the attitude of the user; and

calculating a second blood pressure value of the user, by applying the selected first to sixth parameters to the acquired first attribute, second attribute, blood total cholesterol value, and the feature, according to Equation (1):

α1*MPWTT+α2*MRRI+α3* P 1+α4* P 2+α5* P 3+α6,  (1)

where MPWTT is a mean pulse wave transit time of the user, MRRI is a heartbeat interval of the user, P 1 is the first attribute, P 2 is the second attribute, P 3 is the blood total cholesterol value, and α 1 -α 6 are the first to sixth parameters.