• Corpus ID: 1653376

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

  title={Adaptive detection and severity level characterization algorithm for Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) via oximetry signal analysis},
  author={Harris V. Georgiou},
  • 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
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.


Automated detection of obstructive apnea and hypopnea events from oxygen saturation signal
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Identification and quantification of apneas by computer-based analysis of oxygen saturation.
A computer algorithm was developed to scan and detect dips in SaO2 data digitally stored as a time series by computer throughout overnight studies to calculate an apnea-hypopnea index that would correlate very well with the manually derived apneas-hypoplnea index.
Accuracy of oximetry for detection of respiratory disturbances in sleep apnea syndrome.
A nocturnal oximetry test with a delta index below 0.6 is helpful in ruling out the diagnosis of SAS in patients being screened for this condition, as this yielded only three negative test results in 301 screening procedures.
Automated analysis of digital oximetry in the diagnosis of obstructive sleep apnoea
Off line automated analysis of the oximetry signal provides a close estimate of AHI as well as excellent diagnostic sensitivity and specificity for OSA in a population of patients suspected of having OSA.
Prediction of the apnea-hypopnea index from overnight pulse oximetry.
The Delta index and oxygen desaturation indexes provided similar levels of diagnostic accuracy and the combination of indexes improved the precision of the predicted AHI and may offer a potentially simpler alternative to polysomnography.
HealthGear: Automatic Sleep Apnea Detection and Monitoring with a Mobile Phone
An implementation of HealthGear using a blood oximeter to monitor the user’s blood oxygen level and pulse while sleeping and two different algorithms for automatically detecting sleep apnea events are described.
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The results suggest that nonlinear analysis of SaO(2) signals from nocturnal oximetry could yield useful information in OSA diagnosis, and central tendency measure and Lempel-Ziv complexity accuracies were higher than those provided by ODI4, ODI2 and CT90.
Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings
Assessment of the ability of an overnight ECG recording to distinguish between patients with and without apnoea and the best algorithms made use of frequency-domain features to estimate changes in heart rate and the effect of respiration on the ECG waveform.