01
Steady rest
Shows modest beat-to-beat changes around a stable average.
Explore HRV Without a Chest Strap
Use this educational demo to see how beat-to-beat intervals become HRV metrics and a Poincaré plot. The data are simulated examples, not a measurement of your body, and the demo does not provide a health or stress diagnosis.
HRV Demo Summary
EDUCATIONAL MODESIMULATED DATA
SENSORNot required
DATASynthetic
ACCOUNTNot required
PURPOSEEducation
01 / SAMPLE SCENARIOS
Choose a Sample Scenario
Each scenario should load a clearly labeled synthetic RR-interval series. The examples illustrate data behavior without claiming that one pattern proves a particular physical or emotional state.
02
Slow paced breathing
Shows a smooth repeating rise and fall in intervals.
03
Lower short-term variability
Shows intervals clustered more tightly together.
04
Artifact example
Includes one or more implausible intervals so you can see why data cleaning matters.
05
Recovery example
Shows values changing across a sequence of labeled windows.
02 / INTERACTIVE DEMO
Try the Controls
Move the variability control and observe how the interval chart, RMSSD and the width of the Poincaré plot change together. Add a simulated artifact and compare the unfiltered and excluded results. Change the analysis window to see why two results should use the same duration before they are compared.
03 / METRICS
What the Demo Displays
Beat-to-beat timing
The time between successive detected heartbeats, usually expressed in milliseconds.
Short-term variability
Summarizes the size of changes between consecutive accepted intervals.
Overall interval spread
The standard deviation of accepted normal-to-normal intervals in the selected window.
Successive differences
The percentage of successive accepted interval differences greater than 50 milliseconds.
RR Intervals
An RR interval is the time between successive detected heartbeats, usually expressed in milliseconds. At 60 beats per minute the average interval is about 1,000 milliseconds, but real intervals vary from beat to beat.
RMSSD
RMSSD summarizes the size of changes between consecutive normal-to-normal intervals. It is calculated by squaring each successive difference, averaging those squared differences and taking the square root. A larger result means greater short-term variation in that sample; it does not automatically mean better health.
SDNN and pNN50
SDNN is the standard deviation of the accepted normal-to-normal intervals in the selected window. pNN50 is the percentage of successive accepted interval differences greater than 50 milliseconds. Both depend on recording length, context and preprocessing.
Poincaré Plot
The plot places one RR interval on the horizontal axis and the next interval on the vertical axis. A smooth changing sequence can form an elongated cloud, while isolated bad intervals can create points far from the main pattern.
04 / LIMITATIONS
What This Demo Cannot Tell You
EDUCATIONAL DATA ONLY
The demo cannot estimate your HRV, confirm your stress level, test your heart rhythm or predict recovery.
Similar summary values can arise from different interval patterns, and the cause of a real change cannot be identified from one metric alone.
When you are ready to measure your own data, review compatible devices and browser setup and then start the live HRV tool.
05 / FAQ
Frequently Asked Questions
Q01
Does the HRV demo measure me through the camera?
No. It uses synthetic sample data and does not read your pulse, camera, microphone or wearable.
Q02
Can I use the demo without creating an account?
It should be available without an account so visitors can learn the interface before connecting a device.
Q03
Why does paced breathing change the sample HRV?
Respiration influences beat timing. A slower regular pattern can produce larger oscillations in the sample, which is why breathing conditions must be documented.
Q04
Does higher RMSSD always mean better recovery?
No. Context, signal quality, recording method and the individual baseline matter. An unusually high value can also result from artifacts or irregular beats.
Q05
Can the demo diagnose stress?
No. It illustrates calculations and patterns only.
EXPLORE FIRST
See How HRV Metrics Change
Use synthetic data to learn the interface before connecting a sensor.