We are looking for Dave Lusty, Reto Rölli, John Park, Ryan Hampton and all other software developers with advanced coding skills to help us code a treadmill speed sensor for all kind of applications

Last Updated on November 14, 2023 by pg@petergamma.org

The project is described here:

A view years ago we where looking for a solution how to access sensor data from sport heart rate monitors. We asked for this

  • in the Garmin forum
  • in the THIS IS ANT forum
  • in the Matlab forum
  • in the EEVBLOG

Then solutions for this problem where offered from:

  • Dave Lusty who works for Microsoft UK
  • Reto Rölli from Infinity Flow
  • John Park from Adafruit who developed the Pyloton open source bike computer
  • Ryan Hampton from balena who developed the balena health

We would like to thank all of these people very much for their great contributions. Now we have another problem how to get the speed data from a treadmill into our application. We invite all of the above devopers as well as newly interested people to participate in this new and promising project to integrate the Raspberry Pi treadmill speed sensor in their application as well.

The sports sensor projects the above mentioned developers developed are eventually very interesting for sport men and women to develop their own applications, and we suppose that our colleagues and friends will sooner or later integrate those in their projects. But after we studied these sports sensors intensely, especially accuracy and validation paper questions:

we came to the conclusion that ECG devices are more suitable for our application. We miss papers which validate sports sensors for our application. We think it is possible to a certain degree to use those for us but high quality validation papers are missing.

One system which is of special interest for us personally is the GE Case System which basically consists of a treadmill and a 12 channel ECG device. This device costs new around 13 000 USD:

We haven’t studied the GE Case System in detail yet. But we suppose if we build such a device frsom scratch from new and refurbised components it is possible to build it for about 10 % to 20 % of these costs, and have the main functionality of the GE Case System such as resting heart rate, stress test and blood pressure measurement.

We are advertising this project here as an open source project, most of the components of this device are already reviewed in our journal. But what we currently miss to start with is a treadmill speed sensor which is open source and can be calibrated. This is our motivation for advertising this project. We usually don’t code as you can on our GITHUB page:

https://github.com/PeterGamma

But we think this is an easy job for a skilled coder who is interested in this project. There are different speed sensors for treadmills already available. They transmit speed over ANT+ and BLE to sports devices. The Raspberry Pi speed sensor described above uses as well an ANT+ stick and Zwift. But if this speed sensor is modified and connected to a data analys software, it offers more functionality than the other sensors. Especially to calibrate a treadmill sensor raw data are highly desirable. And who does not want a treadmill which is validated as good as possible with the best treadmill speed sensor which is available? Eventually the sports treadmill sellers? But do not people who want to use a treadmill for research and medical applications and home users a device of the highest quality to to lowest price? Who want such devices just for fun if they could have serious scientific data for a bit extra? And a Raspberry Pi treadmill speed sensor which is open source and can be calibrated is a key component of such a system.

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