A snoring classifier based on Heart Rate Variability analysis

@article{Ieong2011ASC,
  title={A snoring classifier based on Heart Rate Variability analysis},
  author={Chio-In Ieong and Cheng Dong and Wenya Nan and Agostinho Rosa and Ronaldo Guimaraes and Mang I Vai and Pui-in Mak and Feng Wan and Peng-Un Mak},
  journal={2011 Computing in Cardiology},
  year={2011},
  pages={345-348}
}
The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night polysomnography (PSG) with ECG and audio channels from patient group (heavy snorer) and control group (light snorer), which are gender- and age-paired, totally 30 subjects. A feature Snoring Density (SND) of audio signal as classification criterion and HRV features are… CONTINUE READING

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