Device for physiological monitoring and measurement
Continuous monitoring of a plurality of physiological data may be used for health and fitness improvements for a user. To this end, a physiological monitoring and measurement device may include a wearable strap that receives heart rate data for a user including a time series of heart rate data, a maximum heart rate, and a resting heart rate. A processor may transform the heart rate data into a time series of heart rate reserve data that is weighted, e.g., to account for cardiovascular efficiencies at different intensity levels, to provide a weighted time series of heart rate reserve values. An intensity score that provides an indicator of cardiovascular intensity for an exercise routine may be generated from the weighted time series of heart rate reserve values and displayed to the user on the wearable strap.
1. A device for physiological monitoring and measurement comprising:
a continuously wearable physiological measurement device including one or more sensors configured to continuously monitor and determine a heart rate of a user;
a display device coupled to the continuously wearable physiological measurement device;
a strap attached to the continuously wearable physiological measurement device and couplable to an appendage of the user; and
a processor in the continuously wearable physiological measurement device, the processor coupled to the one or more sensors and the processor configured to:
programmatically receive heart rate data for the user from the continuously wearable physiological measurement device, the heart rate data including a time series of heart rate data for the user, a maximum heart rate of the user, and a resting heart rate of the user;
transform the heart rate data including the time series of heart rate data, the maximum heart rate and the resting heart rate to a time series of heart rate reserve data;
weight the heart rate reserve data according to a dynamic weighting scheme to provide a dynamically weighted time series of heart rate reserve values, the dynamic weighting scheme based on historical heart rate reserve data;
sum and normalize the dynamically weighted time series of heart rate reserve values for a predetermined unit interval to provide a summed and normalized value;
programmatically generate an intensity score providing an indicator of cardiovascular intensity based on the dynamically weighted time series of heart rate reserve values, wherein generating the intensity score includes scaling the summed and normalized value to a predetermined distribution in a scale, and further wherein a path of the intensity score over time is used to dynamically determine and adjust the dynamic weighting scheme applied to the heart rate reserve data; and
display the intensity score on a user interface rendered on the display device.
2. The device of claim 1 , wherein the dynamic weighting scheme is created for the user by a machine learning algorithm trained to correlate heart rate data to cardiovascular intensities.
3. The device of claim 2 , wherein the machine learning algorithm is retrained to adjust perceived difficulties of exercise routines as a fitness of the user improves.
4. The device of claim 1 , wherein the dynamic weighting scheme accounts for cardiovascular efficiencies at different intensity levels.
5. The device of claim 1 , wherein the processor is further configured to display qualitative information associated with the intensity score.
6. The device of claim 5 , wherein the qualitative information includes an indication of whether the user exceeded an anaerobic threshold of the user during an exercise routine.
7. The device of claim 5 , wherein the qualitative information includes an indication of whether the user is likely to experience muscle soreness.
8. The device of claim 5 , wherein the qualitative information includes an indication of a level of recovery required after an exercise routine.
9. The device of claim 5 , wherein the qualitative information includes an indication of one or more future alterations to an exercise routine that is required based on one or more health-related goals of the user.
10. The device of claim 1 , wherein the indicator corresponds to a perceived difficulty of an exercise routine by the user, and wherein the processor is further configured to:
display, on the user interface, the perceived difficulty of the exercise routine.
11. The device of claim 1 , wherein the processor is further configured to:
automatically alter an exercise plan according to one or more health goals of the user based on the intensity score; and
display, on the user interface, an altered exercise plan.
12. The device of claim 1 , wherein the predetermined distribution is a linear distribution.
13. The device of claim 1 , wherein the predetermined distribution is one or more of an arctangent distribution, a sigmoid distribution, and a sinusoidal distribution.
14. The device of claim 1 , wherein the predetermined distribution is obtained by fitting a curve to a predetermined group of canonical exercise routines have predefined intensity scores.
15. The device of claim 1 , wherein the processor is further configured to programmatically receive heart rate variability data from the continuously wearable physiological measurement device.
16. The device of claim 15 , wherein the processor is further configured to calculate a recovery score for the user based on the heart rate variability data.