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NESL~UCLA Zafeiria Anagnostopoulou. Why this architecture? More abstract Different types of application can use it Uses better the “smart sensors” Computation.

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Presentation on theme: "NESL~UCLA Zafeiria Anagnostopoulou. Why this architecture? More abstract Different types of application can use it Uses better the “smart sensors” Computation."— Presentation transcript:

1 NESL~UCLA Zafeiria Anagnostopoulou

2 Why this architecture? More abstract Different types of application can use it Uses better the “smart sensors” Computation is faster

3 Deeper S-wave

4

5 TypeQRS detection Normalization/Classification Raw Data3msec191msec Processed Data 5μsec189msec Normal Arrhythmia

6 ExperimentNormal Heart Beats Arrhythmia Heart Beats Beats, not correctly classified Accuracy 1810288.9 278193.4 31011290.5 4910194.8 589194.2 699288.9 7810194.5 8118194.8 997193.8 10 12291.0 TOTAL89941492.5 Valid Read = 320 msec Sample Rate = 200 samples/sec Buffer Size = 1024 Classifier Accuracy = 92.5% Normal Heart Beat = 100% Arrhythmia Heart Beat = 91% (still some false positives)

7  Extend the architecture: Implement the classification on the sensor-side  Test the architecture with other types of applications


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