There’s a lot of talk about the quantified self, but one of the grey areas remains working out your levels of stress. Usually this requires hardware devices. Now a New York-based startup thinks it’s come up with an approach based on specially developed algorithms and machine learning using simple heartbeat readings taken with a smartphone app.

　　Welltory (iOS, Android) has also now closed its second investment round, raising $1 million from business angels. This is being used to launch the next version of the app, which is aimed at cutting down your stress levels and boosting your productivity. Luckily the app is, in my opinion, a joy to use in terms of interface and over-all usability.

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　　Here’s their idea: Google Analytics for humans, complete with AB-testing features and KpI goals. The idea is to work out the effect of how, for instance, morning meditation, working from home or a diet change might affect stress and energy levels. You then keep what works for you and discard what doesn’t.

　　While the main measurement comes through measuring your heartbeat, using the same ppG technology found in most pulse oximeters, it then applies variability algorithms to assess the state of the “autonomic nervous system” — the body’s stress and recovery regulation center. That’s how they come up with stress and energy levels.

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　　In fact, this is the same technique used by professionals in sports. The Red Wings hockey team relies on HRV analysis to track training and recovery with Firstbeat. Similarly, NBA players like DeAndre Jordan and Matthew Dellavedova wear HRV-based WHOOps during games.

　　But Welltory is aiming to bring this kind of monitoring to the masses.