Computes time domain metrics of heart rate variability based on a series of RR intervals
npm install hrv-time-domain-analysishrv-time-domain-analysis
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Computes time domain metrics of heart rate variability based on a series of RR intervals.
Currently supported metrics:
- RMSSD (root mean square of successive interval differences)
- SDNN (standard deviation of successive rr intervals)
- PNN50 (percentage of successive interval differences larger than 50ms)
Scientific accuracy is not guaranteed.
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Create a new instance and configure it using the available options.
``
// import
var HRVAnalysis = require('hrv-time-domain-analysis');
// create and configure HRV Analysis instance (default values below)
var hrv = new HRVAnalysis({
windowSize: 40, // size of moving analysis timeframe in seconds
rrTimeFormat: 's', // time format of rr intervals: 's' (seconds) or 'ms' (milliseconds)
rmssdLog: true, // apply natural logarithm to rmssd
rmssdFactor: 20 // multiply rmssd value by this factor
});
`
Upon receiving rr intervals from a heart rate monitoring device, add them to the analysis window.
`
hrv.addRRs(rrs) // where rrs is an array of (usually 1 or 2) rr intervals
Listen for analysis results. Once there is enough value (depends on size of analysis window) a 'data' event is emitted including the available hrv time domain metrics.
`
hrv.on('data', ({ rmssd, sdnn, pnn50 }) => {
// do things with the metrics, e.g. display in graph, create recording etc.
})
That's it, enjoy!
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