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Conclusions

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Summary: Conclusions

General Conclusions

We found that our identification system was able to tolerate an extremely high level of noise. For an SNR above 5 we were able to get the heart rate within two beats per minute one-hundred percent of the time and when it was above three we were able to identify the signal types with one-hundred percent accuracy.

Future Immplications

While our methods proved to be largely effective on our idealized sample data, future studies could improve the program by testing its abilities on a wide variety of signals. Due to the wide variations in biological signals and the high cost of a mistake in emergency medicine our system would need to prove itself to be incredibly reliable on as wide a range of sample data as possible. We would also need a hardware setup capable of collecting the data and analyzing it in real time. Future projects could use similar methods to ours to analyze other biological signals such as EEGs.

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