System and method for estimating cardiovascular fitness of a person

1. A device for estimating a maximal oxygen uptake (VO 2 max) of a person, the device comprising:

a heart rate monitor that acquires a heart rate signal including information about the heart rate of the person;

an activity monitor that acquires an activity signal indicative of physical activity of the person; and

a processor operably coupled with memory, the heart rate monitor, and the activity monitory, the processor being configured to cause instructions to execute to:

classify an activity of the person based on the activity signal into cycling, walking, running, steady recovery, or no activity;

identify one or more heart rate features that are available from the heart rate signal;

select, based on the classification of the activity and the identified heart rate features, one or more VO 2 max estimation models from a plurality of heart rate feature-based VO 2 max estimation models stored in the memory;

select, for each selected VO 2 max estimation model of the one or more selected VO 2 max estimation models, an available heart rate feature that is based on the acquired heart rate signal;

estimate the VO 2 max of the person based on one or more selected available heart rate features and the one or more selected VO 2 max estimation models; and

output, on a display, information indicative of the estimated VO 2 max.

2. The device as claimed in claim 1 ,

wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature from the group of heart rate features comprising heart rate recovery, peak heart rate, heart rate variability, heart rate rise, resting heart rate.

3. The device as claimed in claim 1 ,

wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature based on which heart rate phase is currently present.

4. The device as claimed in claim 1 ,

wherein estimating the VO 2 max comprises estimating the VO 2 max of the person based on the one or more selected available heart rate features and user information about the person including one or more of age, gender, weight, height, body mass index of the person received via an interface.

5. The device as claimed in claim 1 ,

wherein selecting the available heart rate feature is based on a root mean square error associated with at least one model of the one or more selected VO 2 max estimation models.

6. The device of claim 1 ,

wherein said activity monitor includes an accelerometer for acquiring an acceleration signal indicative of acceleration of at least part of the body of the person as activity signal.

7. The device of claim 1 ,

wherein said heart rate monitor includes a photo-plethysmography or optical sensor.

8. A method for estimating a maximal oxygen uptake (VO 2 max) of a person using one or more processors, the method comprising:

acquiring, by one or more of the processors from a heart rate monitor worn on the person's body, a heart rate signal that includes information indicative of physical activity of the person;

acquiring, by one or more of the processors from an accelerometer worn on the person's body, an activity signal indicative of physical activity of the person;

classifying an activity of the person based on the acquired activity signal into cycling, walking, running, steady recovery, or no activity;

identifying one or more heart rate features that are available from the heart rate signal;

selecting, based on the classification of the activity and the identified heart rate features, one or more VO 2 max estimation models from a plurality of heart rate feature-based VO 2 max estimation models stored in the memory;

selecting, for each selected VO 2 max estimation model of the one or more selected VO 2 max estimation models, an available heart rate feature that is based on the acquired heart rate signal;

estimating the VO 2 max of the person based on one or more selected available heart rate features and the one or more selected VO 2 max estimation models; and

outputting, on an output component, information indicative of the estimated VO 2 max.

9. The method of claim 8 , wherein selecting the available heart rate feature is based on a root mean square error associated with at least one model of the one or more selected VO 2 max estimation models.

10. The method of claim 8 , wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature from the group of heart rate features comprising heart rate recovery, peak heart rate, heart rate variability, heart rate rise, resting heart rate.

11. The method of claim 8 , wherein said heart rate monitor includes a photo-plethysmography.

12. The method of claim 8 , wherein estimating the VO 2 max comprises estimating the VO 2 max of the person based on the one or more selected available heart rate features and user information about the person including one or more of age, gender, weight, height, body mass index of the person received via an interface.

13. The method of claim 8 , wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature based on which heart rate phase is currently present.

14. The method of claim 8 , wherein said heart rate monitor includes an optical sensor.

15. At least one non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to estimate a maximal oxygen uptake (VO 2 max) of a person by performing the following operations:

acquiring, by one or more of the processors from a heart rate monitor worn on the person's body, a heart rate signal that includes information indicative of physical activity of the person;

acquiring, by one or more of the processors from an accelerometer worn on the person's body, an activity signal indicative of physical activity of the person;

classifying an activity of the person based on the acquired activity signal into cycling, walking, running, steady recovery, or no activity;

identifying one or more heart rate features that are available from the heart rate signal;

selecting, based on the classification of the activity and the identified heart rate features, one or more VO 2 max estimation models from a plurality of heart rate feature-based VO 2 max estimation models stored in the memory;

selecting, for each selected VO 2 max estimation model of the one or more selected VO 2 max estimation models, an available heart rate feature that is based on the acquired heart rate signal;

estimating the VO 2 max of the person based on one or more selected available heart rate features and the one or more selected VO 2 max estimation models; and

outputting, on an output component, information indicative of the estimated VO 2 max.

16. The at least one non-transitory computer-readable medium of claim 15 , wherein selecting the available heart rate feature is based on a root mean square error associated with at least one model of the one or more selected VO 2 max estimation models.

17. The at least one non-transitory computer-readable medium of claim 15 , wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature from the group of heart rate features comprising heart rate recovery, peak heart rate, heart rate variability, heart rate rise, resting heart rate.

18. The at least one non-transitory computer-readable medium of claim 15 , wherein said heart rate monitor includes a photo-plethysmography or optical sensor.

19. The at least one non-transitory computer-readable medium of claim 15 , wherein estimating the VO 2 max comprises estimating the VO 2 max of the person based on the one or more selected available heart rate features and user information about the person including one or more of age, gender, weight, height, body mass index of the person received via an interface.

20. The at least one non-transitory computer-readable medium of claim 15 , wherein selecting the available heart rate feature obtained from the acquired heart rate signal comprises selecting the available heart rate feature based on which heart rate phase is currently present.