Blog 5 - IoT Health Monitoring Project - Sprint Planning

 IoT Health Monitoring Project


In our last IoT class, we met to plan out what we should do as our group project for the IoT apps module. The general consensus was to continuously develop the HRV monitoring micro:bit project. We decided between ourselves that we would break up the work into a 2 week sprint.

Sprint 1

The first sprint will focus on establishing our core monitoring capabilities with heart rate data collection and analysis:

Heart Rate Monitoring Fundamentals

We will use our microbit along with our HRV Sensor from my second blog.

Key Metrics: Our system will track:
  • BPMs (Beats Per Minute)
  • HRV (Heart Rate Variability)
  • FFT (Fast Fourier Transform) - analysis of heart rhythms

One of our technical challenges will be implementing FFT on the micro:bit platform. We're planning to explore if this is feasible using Python mode, as there may be limitations to using makecode.

Cloud Integration

The data recoded from our :

  •  Data will be collected and sent to a spreadsheet
  •  Generate report to give to doctor (made from spreadsheet)
  •  Goes to dashboard on phone

We're particularly excited about the dashboard feature, which will make it easy for users to monitor their heart health on the go.

Sprint 2

Our second sprint, will include the analog out implementation.

  • We're planning to be more creative with how we can utilise the processed data
  • Team members are encouraged to brainstorm innovative applications of our health metrics

    • Ethical Considerations

    We've already had important discussions about the ethical implications of our technology. One key boundary we've established is that our system won't be designed for use with infants or babies, as this raises significant ethical and safety concerns.

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