A cardiod based technique to identify Cardiovascular Diseases using mobile phones and body sensors

@article{Sufi2010ACB,
  title={A cardiod based technique to identify Cardiovascular Diseases using mobile phones and body sensors},
  author={Fahim K. Sufi and Ibrahim Khalil and Zahir Tari},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={5500-5503},
  url={https://api.semanticscholar.org/CorpusID:26878178}
}
  • Fahim K. SufiI. KhalilZ. Tari
  • Published in Annual International… 11 November 2010
  • Computer Science, Engineering, Medicine
  • 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
Unlike the existing ECG based CVD diagnosis systems that detect CVD anomalies from hundreds of sample points, the proposed mechanism identifies cardiac abnormality from only 5 sample points and is up to 3 times faster than the existing techniques.
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