1 / 7

Data-Flow Architecture For extracting health information using smartphone

NESL~UCLA Zafeiria Anagnostopoulou. Data-Flow Architecture For extracting health information using smartphone. The architecture. Why this architecture? More abstract Different types of application can use it Uses better the “smart sensors” Computation is faster.

jin
Download Presentation

Data-Flow Architecture For extracting health information using smartphone

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related