Heart rate variability is the measure of time between your heartbeats.
Factors such as health, stress, sleep, age, gender, and lifestyle may affect your HRV.
HRV is traditionally measured using an EKG.
Today, you can get a measure of your HRV at home using a fitness tracker or smartwatch..
Five characteristics are considered — dynamics, rhythm, timbre, pitch, and tonality.
These parameters combine to form a unique heartbeat signature for each person and can be used for identification that has shown an accuracy rate of 96.6 per cent in experiments..
Biometric data are those that belong purely to organics (the living) and are metric (measurable), for example: outline or shape of the hand, of fingers, digital fingerprints, veins, their temperature, facial shape, image of the iris, heartbeat, its rhythm, etc..
This in turn enables a rich set of biometric measures, including continuous heart rate, R-R interval (heart rate variability), VO2 max, cardiac efficiency, blood pressure, and more..
Heartbeat biometric identification is considered to be very accurate and at a similar level to fingerprints or retina recognition.
The heartbeat can be detected and processed through a range of different wearable devices but those using electrocardiograms (ECG) are the most widely used currently..
HRV is a biometric that measures the differences in successive heartbeats.
While simple, HRV provides an incredible amount of information on the health of our autonomic nervous system and brain..
A normal HRV for adults can range anywhere from below 20 to over 200 milliseconds..
It uses light beams to estimate the oxygen saturation of the blood and the pulse rate.
Heart rate variability monitors use photoplethysmography, which is a non-invasive and low-cost optical measurement technique that tracks blood volume changes in peripheral blood vessels..
Heart rate variability – what to know about this biometric most fitness trackers measure.
Anne R.
Crecelius, associate professor • January 06, 2023.
Tiny fluctuations in the time between each beat of your heart can provide clues about how much stress your body is experiencing..
HRV may offer a noninvasive way to signal imbalances in the autonomic nervous system.
Based on data gathered from many people, if the system is in more of a fight-or-flight mode, the variation between subsequent heartbeats tends to be lower..
You can get a sense of your HRV if you feel your pulse on your wrist while taking a few deep breaths in and out: the interval between beats gets longer (heart rate slows down) when you exhale and shorter (heart rate increases) when you inhale, a phenomenon called respiratory sinus arrhythmia..
Why Check Heart Rate Variability? It can identify ANS imbalances.
When your system is in fight-or-flight mode, the difference between heartbeats is low as compared to when you are in a relaxed mode where the difference between the heartbeats is high.
HRV can detect stress levels..
HRV demonstrates how the psychological processes of the brain, heart, and emotions influence each other and the rest of your physiology.
Even better… Researchers can predict the way you feel with 75 percent accuracy using nothing but HRV data.
What kind of traits.
HRV can accurately predict age within two years.
Now you have the “what” of HRV.
HRV parameters are actually the results of applying various linear methods like statistical and spectral techniques and nonlinear like Poincare and auto regression and also some time-frequency methods like wavelets on RR data.
These HRV parameters can serve as a feature vector for biometric classification.
But increasingly, heart rate variability (HRV) is the key metric.
It's a heart rate measurement that the likes of Fitbit, Garmin, Apple, Polar Samsung and others use to offer new insights such as:
Heart rate variability (HRV) is an intrinsic property of heart and active research domain of the medical research community since last two decades.
But in biometrics it is still in its infancy.
There have been several classification attempts for disease pattern identification in HRV data [ 1 – 4 ].
