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Data-Flow Architecture for Extracting Health Information Using Smartphone

Explore a data-flow architecture which efficiently utilizes smart sensors for health data extraction. Dive deeper into arrhythmia detection systems with enhanced accuracy. The study also proposes extending the architecture for broader applications and future testing possibilities.

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Data-Flow Architecture for Extracting Health Information Using Smartphone

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  1. NESL~UCLAZafeiriaAnagnostopoulou Data-Flow Architecture For extracting health information using smartphone

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

  3. Arrhythmia Detection System (1) Deeper S-wave

  4. Arrhythmia Detection System (2)

  5. Results (1) Normal Arrhythmia Arrhythmia Normal

  6. Results (2) • 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 Future Work

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