Computation of SpO2 using non-parametric spectral estimation methods from wavelet based motion artifact reduced PPG signals

@article{Ram2011ComputationOS,
  title={Computation of SpO2 using non-parametric spectral estimation methods from wavelet based motion artifact reduced PPG signals},
  author={M. Raghu Ram and K. Venu Madhav and E. Hari Krishna and K. Nagarjuna Reddy and K. Ashoka Reddy},
  journal={2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies},
  year={2011},
  pages={776-780}
}
A pulse oximeter measures the arterial blood oxygen saturation (SpO2). The common cause of oximeter failure in computing error- free SpO2 is motion artifact (MA) corruption in the detected PPG signals. In order to have a low failure rate, the pulse oximeters must be provided with a clean artifact-free PPG signals with clearly separable DC and AC parts from which the SpO2 is computed in time domain. In this paper, we present non-parametric spectral estimation methods for computing SpO2. The PPG… CONTINUE READING

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