Phyzical

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  Main screen

Inspiration

With the rise in covid cases, there is a surge in demand for medical equipment such as breathing rate monitors and oximeters. A lot of homes have kept this equipment but many are still lacking it because of a shortage in production. We build this application to provide an alternative for breathing monitor to that person in need.

What it does

A user can position their smartphone to the side, and using our algorithm and the phone's accelerometer sensor, we are able to ascertain their breathing/respiration rate which we then show in the mobile application. Once the user completes the test, we play a beep sound to alert the user of the completion of the test. The user can then view their breathing rate and check whether its normal or not.

How we built it

Using Independent Component analysis we remove the noise from the data and then converted the 3-dimensional data which is x,y,z coordinates of the reading to single-dimensional data, we were able to plot a wave-like graph. This graph showed us various peeks corresponding to the breathing process. These peeks were responsible for getting the respiration rate of the person.

Challenges we ran into

We faced issues while using mathematical concepts since they were advanced and their implementation was not readily available.

Accomplishments that we're proud of

We gave another thing for a smartphone to be smarter and accessibility for the people. We are really happy that our project if used with smartphones can help people

What we learned

We learned a lot about accelerometers and how they work, for instance we learnt about the coordinates - x, y and z and what they stand for. Along with this, we learnt about independent component analysis as well as the formulae used to work with it.

What's next for Phyzical

Targeting other sensors of smartphones to make alternative for other medical equipments

Built With

• expo.io
• flask
• numpy
• python
• react-native