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Automatic Screening of Sleep Apnea-Hypopnea Syndrome by ECG Derived Respiration

  • Qing Qiao
  • Guangming Tong
  • Rui Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Objective To evaluate the feasibility of Automatic screening Sleep Apnea-Hypopnea Syndrome (SAHS) by Electrocardiogram-Derived Respiration (EDR) of Ambulatory Electrocardiogram (AECG) monitoring. Methods The overnight sleep investigation was administered to 80 subjects by Polysomnogram (PSG) and 24 h AECGng simultaneously. The electrocardiogram analyzers did not know the PSG results at all. They were both asked to give the Apnea Hypopnea Index (AHI) by EDR and PSG respectively. The PSG result was considered as the gold standard so as to evaluate the feasibility of screening SAHS from EDR of AECG monitoring. Results The average age, percentage of male gender, body mass index, history of hypertension were higher in the SAHS(+) patients than those of the SAHS(-) patients. Automatic analysis was performed with software in a sensibility of 75, 87.5 and 100 % respectively. When software sensibility was fixed at 75 %, the sensitivity of screening SAHS with EDR was 26.7 %, with the specificity of 80 %, the positive predictive value of 80 %, the negative predictive value of 26.7 % and the diagnose accordance rate of 40 %. When software sensibility was fixed to 87.5 %, the sensitivity of screening SAHS with EDR was 55 %,with the specificity of 45 %, the positive predictive value of 75 %, the negative predictive value of 25 %, and the diagnose accordance rate of 52.5 %. When software sensibility was fixed to 100 %, the sensitivity of screening SAHS with EDR was 88.3 %, with the specificity of 35 %, the positive predictive value of 84.1 %, the negative predictive value of 50 %, and the diagnose accordance rate of 75 %. Conclusions EDR technique of AECG was useful to screen the suspicious SAHS patients, sensitivity and the diagnosis coincidence rate was high when the sensibility of automatic analysis software was adjusted to 100 %.

Keywords

Sleep Apnea ECG Derived Respiration (EDR) Polysomnogram (PSG) 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of NephrologyFirst Hospital Affiliated to Soochow UniversityJiangsu ProvinceChina
  2. 2.Department of CardiologySecond Hospital Affiliated to Soochow UniversityJiangsu ProvinceChina
  3. 3.Department of Sleep CenterSecond Hospital Affiliated to Soochow UniversityJiangsu ProvinceChina

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