Blood oxygen estimation from compressively sensed photoplethysmograph

@inproceedings{Baheti2010BloodOE,
  title={Blood oxygen estimation from compressively sensed photoplethysmograph},
  author={Pawan K. Baheti and Harinath Garudadri and Somdeb Majumdar},
  booktitle={Wireless Health},
  year={2010}
}
  • Pawan K. Baheti, Harinath Garudadri, Somdeb Majumdar
  • Published in Wireless Health 2010
  • Engineering, Computer Science
  • In this work, we consider low power, wearable pulse oximeter sensors for ambulatory, remote vital signs monitoring applications. It is extremely important for such sensors to maintain clinical accuracy and yet provide power savings to enable non-intrusive, long lasting sensors. Our contributions in this work include sub-Nyquist, random sampling of evanescent red and infra red (IR) photoplethysmograph (PPG) signals in real time under the Compressed Sensing (CS) paradigm. We describe the real… CONTINUE READING

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