Bone Fractures and low bone density are rather hard to pinpoint without the use of expensive radiation imaging (X-ray, CT scan). Athletes, physicians, and the public can benefit greatly from a system that would allow them to cost effectively diagnose bone fractures.

What it does

Our device is capable of generating a wide range of acoustic frequencies that when placed against prominent bones, can create resonances that can determine whether the bone is intact.

How I built it

The system was build around a coupling system of a signal transducer and an audio receiver made from a stethoscope. The system data from the coupling is then transmitted via Bluetooth to the user's phone app. The app then analyzes the data from injury to the control set waveform (oftentimes obtained from the user's intact bones or pre-configured memory) and determines whether a fracture is likely present.

Challenges I ran into

Accurate bone structure for testing (goat bones were used). The goat bones used dude not have much tissue surrounding them, whereas real world testing must account for it presence.

Accomplishments that I'm proud of

The use of fourier transform comparison between control and experimental waveforms. The use of Bluetooth data transmission.

What I learned

Manipulating acoustic data using C. Signal transduction and emission.

What's next for Acoustic Bone Fracture Detection

This device is in its first stages and much still needs to be done. With better casing, optimized algorithms and bigger data-sets for control measurements, this device has the potential to become viable and cheap method of detecting bone fractures. The technology can also be applied to detecting osteoporosis and other bone diseases.

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