Does Web Bluetooth work in every browser?
No. Support is limited, and secure context plus user permission are required.
Web Bluetooth allows a compatible browser to request access to nearby Bluetooth Low Energy devices and read their supported services. For HRV, the challenge is not simply retrieving heart rate in beats per minute.
It is receiving valid successive interval measurements, converting their units accurately, dealing with missing or questionable beats and calculating a metric that can be reproduced. This guide explains the architecture without assuming that HRV.live currently offers a public developer API.
Web Bluetooth requires a secure HTTPS context and explicit user permission. A button click commonly initiates a device request, after which the page connects to the sensor’s GATT services. Support differs across browsers and operating systems; check current compatibility using the MDN Web Bluetooth documentation.
An application should present clear permission language and handle rejection, unexpected disconnects and unsupported devices gracefully. Do not imply that a permission prompt guarantees an accurate physiological stream.
The Bluetooth Heart Rate Service uses service identifier 0x180D, with Heart Rate Measurement characteristic 0x2A37. The characteristic’s flags determine whether interval values are included. When present, transmitted RR fields are expressed in units of 1/1024 second; convert each by multiplying by 1000/1024 to obtain milliseconds.
This is the Bluetooth specification’s transport format, not evidence that every device sends RR fields consistently. Confirm the flags and packet layout rather than fabricating intervals from BPM alone. The Bluetooth SIG specification defines the underlying service.
A basic pipeline parses a chronological interval sequence, applies documented acceptance criteria and computes the root mean square of adjacent differences. For accepted values r1 through rN, RMSSD is the square root of the sum of squared successive differences divided by N−1. The code must check minimum sample size, plausible interval values, disconnections and unit conversion.
Report whether the sample contains raw RR or edited normal-to-normal intervals. For worked arithmetic and interpretation, link users to the RMSSD reference and the RMSSD calculator.
A large interval difference may represent a missed detection, an ectopic event or genuine timing variability. Automated thresholds alone cannot determine which explanation is correct. Maintain quality flags and the original stream, and expose exclusions rather than silently creating a “clean” result with no audit trail.
A rolling window should display its duration and accepted interval count. Testing should include dropped packets, repeated notifications, connection resets, extreme values and a known RR sequence whose expected RMSSD can be independently checked.
Explain whether data are processed locally, whether recordings leave the browser and how users can export or clear them. Browser permissions and physiological-data handling deserve distinct disclosures. Avoid automatically uploading raw interval streams or device identifiers without informed user consent.
The HRV.live interface demonstrates a public-facing live HRV workflow, and the Poincaré view demonstrates a geometric interpretation of the same type of interval data. These examples are not a guarantee of a supported integration API.
Create a deterministic interval fixture, for example 800, 810, 795, 830 and 815 ms. An RMSSD function using standard successive-difference arithmetic should return approximately 21.1 ms for that input. Then introduce an empty packet, a repeated interval, a non-physiological value and a simulated disconnect. Confirm that the application reports each condition clearly instead of silently smoothing away errors.
Test unit conversion with a known Bluetooth RR field and verify that the flag indicating interval presence is respected. A polished live chart can hide serious processing bugs; published reference fixtures and transparent result calculations are what make the implementation independently testable.
The interface should provide a helpful failure state when a characteristic has no RR intervals, rather than showing a plausible-looking zero or a fabricated RMSSD. Zero can be a mathematical outcome for a perfectly uniform synthetic sequence; missing input is an entirely different state. Distinguish “no device,” “device connected but no RR data,” “too few accepted intervals” and “result available.” This makes the application safer for education and much easier to debug.
No. Support is limited, and secure context plus user permission are required.
Not reliably. HRV computation requires suitable successive interval timing, not just periodic average heart-rate values.
The standard Heart Rate Service uses 0x180D and its measurement characteristic uses 0x2A37.
This article does not assert one. Developers should confirm supported interfaces directly with the platform before planning an integration.
A trustworthy Web Bluetooth HRV project gets the interval transport, units, permissions and preprocessing right before drawing conclusions from a dashboard. Reproducibility is a product feature, not an optional research afterthought.
Explore the relevant tool: https://hrv.live/developers
Educational information only. These tools do not diagnose, treat or rule out medical conditions. Consult a qualified healthcare professional for medical questions; seek urgent care for concerning symptoms.
Disclaimer
hrv.live, rmssd.com, and Time Domain Labs tools are for informational and educational purposes only. Not a medical device. Not FDA cleared or approved. No medical advice is provided.
We do not diagnose, treat, cure, or prevent any disease or medical condition. RMSSD, pNN50, and RR interval data are measures of autonomic activity, not a medical diagnosis.
Do not use this information to make medical decisions. Always consult a qualified healthcare professional for medical concerns. If you have a medical emergency, call 911.
You assume full responsibility for use of this site and its data.