eHealth Personal Gateway – Eclipse Open IoT Challenge 2.0

 

It is almost two months since my start in Eclipse Open IoT Challenge 2.0. It’s a last moment to explain my proposal and start publishing progress of my work.

During last few weeks I’ve been busy with researching in the field of bio-medical signals – heart rate, pulse oximetry, body temperature end ECG.  I was exploring field of measuring and processing signals that are used to assess human health condition.

It is not my first encounter with body health monitoring. During my master thesis (long long time ago in my university days), I’ve designed and implemented software system for doctors that allows to manage ECG tests (store them offline, annotate, describe, visualize and export for consultation). Back then, majority of ecg equipment offered at most serial connectivity with raw acquisition data.

Currently, there are a lot of medical and personal devices that are widely available and allows to connect easily with personal computers or smartphones. Using your smartphone and additional equipment you can monitor you heart rate, weight, body temperature, blood pressure, glucose, electrocardiogram (ECG) end even images from inside your body using ultrasound. Mostly they are used with dedicated application running on smart phone using Bluetooth low energy. I can see huge potential in aggregating those data, analyzing it and exposing to medical professionals in order to improve access to health care, especially for elderly or babies in home environments. Additionally, current progress in signal processing and predictive analytic algorithms allows to detect, predict and alert when three is something wrong with human body condition.

Furthermore, bio-medical signals can assist during body workouts (fitness and wellness).

Instead of mobile phone I’m using IoT gateway running Eclipse Kura with Bluetooth low energy capabilities in order to gather bio-medical data from various sensors. With this competition I’ll use:

  • simple hear rate sensor with BLE connectivity – Biometric Sensor Puck from Silicon Labs
  • Fitness Bluetooth 4.0 Heart Rate Monitoring Belt
  • DIY prototype of 3 lead ECG with Bluetooth 4.0 – AD8232 based module from Sparkfun and PSoC 4 BLE  from Cypress

 

I’m in proves of creating prototype of medical IoT gateway that will:

  • acquire bio signal data using Bluetooth LE
  • analyze it locally
  • communicate to the user outcome of local analysis
  • send data to application in the cloud
  • allow medical professionals/fitness trainer to access those data and have possibility to describe it
  • as an option, I’d like to use predictive analytic techniques in order to analyze and classify gathered data using application in the cloud
  • take security of the solution seriously

 

Stay tuned, I’ll follow with post about Eclipse Kura and BLE.