• Corpus ID: 1653376

Adaptive detection and severity level characterization algorithm for Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) via oximetry signal analysis

@article{Georgiou2013AdaptiveDA,
  title={Adaptive detection and severity level characterization algorithm for Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) via oximetry signal analysis},
  author={Harris V. Georgiou},
  journal={ArXiv},
  year={2013},
  volume={abs/1308.6203}
}
  • H. Georgiou
  • Published 28 August 2013
  • Computer Science
  • ArXiv
In this paper, an abstract definition and formal specification is presented for the task of adaptive-threshold OSAHS events detection and severity characterization. Specifically, a low-level pseudocode is designed for the algorithm of raw oximetry signal pre-processing, calculation of the ’drop’ and ’rise’ frames in the related time series, detection of valid apnea/hypopnea events via SpO2 saturation level tracking, as well as calculation of corresponding event rates for OSAHS severity… 
1 Citations
Research on an anti-motion interference algorithm of blood oxygen saturation based on AC and DC analysis.
  • Jiayun Yan, Guangyu Bin
  • Medicine
    Technology and health care : official journal of the European Society for Engineering and Medicine
  • 2015
TLDR
An anti-motion interference blood oxygen saturation algorithm for the microcontroller based on AC and DC analysis, named de-trended FFT is proposed, which stands out in both mean deviation and variance by eliminating trending influence when compared with the other two algorithms.

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