System, method, and article for heart rate variability monitoring
What is provided is a system, method, and article of manufacture for detecting, monitoring, and tracking whether a user is in a more relaxed or stressed state by measuring the user's heart rate variability. The system has a heart rate monitoring device with at least one sensor that is configured to measure user heart rate. The system also has a mobile computing device, which may be configured to interact with the heart rate monitoring device for monitoring, tracking, and displaying a user's heart rate and mental stress level information. The method measures the user's heart rate information to calculate a measure of heart rate variability and to analyze whether peaks corresponding to activation levels of the user's parasympathetic nervous system (PNS) and sympathetic nervous system (SNS) exceed a predetermined threshold level within a predetermined time period.
1. A system for monitoring heart rate variability and mental stress level of a user comprising:
a heart rate monitoring device with at least one sensor configured to measure a sample of the user's heart rate and to transmit an output signal containing the user's heart rate sample data;
a mobile computing device that communicates with the heart rate monitoring device, the mobile computing device comprising at least one receiver configured to convert the output signal from the at least one sensor into a digital format;
the mobile computing device further comprising a processor, the processor configured to determine heart beat interval data from the output signal;
the processor further configured to calculate a measure of heart rate variability by filtering heart beat interval data from the output signal;
the processor further configured to predict an activation level of the user's parasympathetic nervous system (PNS) and an activation level of the user's sympathetic nervous system (SNS) based on the measure of heart rate variability;
the processor further configured to identify whether a first peak corresponding to the activation level of the user's PNS exceeds a predetermined threshold level and whether a second peak corresponding to the activation level of the user's SNS exceeds the predetermined threshold level, wherein the frequency of the second peak exceeding the predetermined threshold level is indicative of higher user mental stress levels; and
the mobile computing device further comprising a graphical user interface configured for displaying the user's heart rate and mental stress level information.
2. The system of claim 1 , the mobile computing device is configured to include the heart rate monitoring device.
3. The system of claim 1 , the at least one sensor is a photoplethysmographic sensor configured to measure the user's heart rate by detecting the amount of light emitted by a light source after interacting with the user's skin.
4. The system of claim 1 , the processor is further configured to compute a score based on the frequency of the first peak exceeding the predetermined threshold level and the frequency of the second peak exceeding the predetermined threshold level, the score corresponds to the user's mental stress levels.
5. The system of claim 4 , the processor transmits a notification alert to the user based on the frequency of the second peak exceeding the predetermined threshold level during a predetermined time period.
6. The system of claim 5 , the processor transmits the notification alert to the user when the frequency of the second peak exceeding the predetermined threshold level is at least three and the predetermined time period is less than or equal to twenty minutes.
7. The system of claim 4 , the score increases when the frequency of the second peak does not exceed the predetermined threshold level during a predetermined time period.
8. The system of claim 4 , the score increases when the frequency of the first peak exceeding the predetermined threshold level is at least three and the predetermined time period is twenty minutes.
9. A method of monitoring heart rate variability and mental stress level of a user comprising:
measuring a sample of the user's heart rate with a heart rate monitoring device comprising of at least one sensor;
receiving, via a mobile computing device, an output signal containing the user's heart rate sample data from the at least one sensor and converting the output signal into a digital format;
processing, via the mobile computing device, the received output signal to determine heart beat interval data;
filtering, via the mobile computing device, the heart beat interval data from the output signal to calculate a measure of heart rate variability;
predicting, via the mobile computing device, an activation level of the user's parasympathetic nervous system (PNS) and an activation level of the user's sympathetic nervous system (SNS) based on the measure of heart rate variability;
analyzing, via the mobile computing device, the activation level of the user's PNS and the activation level of the user's SNS to determine whether a first peak corresponding to the activation level of the user's PNS exceeds a predetermined threshold level and whether a second peak corresponding to the activation level of the user's SNS exceeds the predetermined threshold level, wherein the frequency of the second peak exceeding the predetermined threshold level is indicative of higher user mental stress levels; and
displaying the user's heart rate and mental stress level information on the mobile computing device.
10. The method of claim 9 , further comprising: measuring the user's heart rate by detecting the amount of light emitted by a light source after interacting with the user's skin.
11. The method of claim 9 , further comprising:
computing a first score based on the frequency of the first peak exceeding the predetermined threshold level and the frequency of the second peak exceeding the predetermined threshold level; and
computing a second score based on the frequency of the second peak exceeding the predetermined threshold level.
12. The method of claim 11 , further comprising:
transmitting a notification alert based on the frequency of the second peak exceeding the predetermined threshold level during a predetermined time period.
13. The method of claim 12 , further comprising:
transmitting the notification alert when the frequency of the second peak exceeding the predetermined threshold level is at least three and the predetermined time period is less than or equal to twenty minutes.
14. The method of claim 11 , further comprising:
increasing the score when the frequency of the second peak does not exceed the predetermined threshold level during a predetermined time period.
15. The method of claim 11 , further comprising: increasing the score when the frequency of the first peak exceeding the predetermined threshold level is at least three and the predetermined time period is twenty minutes.