The Meditation Research Institute Switzerland (MRIS) needs your help to develop a mobile multi-sensor data acquisition system – PETER GAMMA (Director & Physiologist), MEDITATION RESEARCH INSTITUTE SWITZERLAND (MRIS)

Last Updated on August 1, 2023 by pg@petergamma.org

The system described here could for instance be used to confirm Rob ter Horsts data. Rob tested 100 smartwatches and makes statements about their accuracy:

But the quantitative scientist Rob delivers no quantitative and statistical data of the devices he tested, and uses a Polar H10 chest strap has his reference device. Also Robs Polar H10 as a reference heart rate monitor is controversial. Cardiologists use 3 lead ECG devices as gold standard, only sports scientists use the Polar H10 chest strap and signal quality data to study the accuracy of heart rate monitors. With this setup:

How to join sensor data from the Apple Watch, the Polar H10 chest strap and OpenBCI into a single InfluxDB?

for instance running on a Raspberry Pi as described previously we have a mobile data acquisition system which can be used for accuracy studies. We have three devices which are known to be very accurate, and that is

3 lead ECG which can be implemented with OpenBCI

the Polar H10 chest strap

and Apple watches

We can basically pair any Bluetooth low energy heart rate monitor to this setup and replace the Polar H10. Other sports watches can also be connected to Home Assistant, as for instance Fitbit, Polar, Withings, etc. This device could be helpful for many people, inclusive device developer who cannot afford to develop their own software. Home Assistant is the second most active Python application. It remains to be tested if Home Assistant can be modified for physiological sensors.

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