Automatic Screening of Sleep Apnea-Hypopnea Syndrome by ECG Derived Respiration
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
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Automatic Screening of Sleep Apnea-Hypopnea Syndrome by ECG Derived Respiration Qing Qiao, Guangming Tong and Rui Chen
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 %. This work was supported by grants from Suzhou City Research Foundation for Applied Basic Research (No. SYS201237). Q. Qiao Department of Nephrology, First Hospital Affiliated to Soochow University, Jiangsu Province, China G. Tong (&) Department of Cardiology, Second Hospital Affiliated to Soochow University, Jiangsu Province, China e-mail: [email protected] R. Chen Department of Sleep Center, Second Hospital Affiliated to Soochow University, Jiangsu Province, China
S. Li et al. (eds.), Frontier and Future Development of Information Technology in Medicine and Education, Lecture Notes in Electrical Engineering 269, DOI: 10.1007/978-94-007-7618-0_81, Springer Science+Business Media Dordrecht 2014
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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 (PSG)
ECG Derived Respiration (EDR) Polysomnogram
81.1 Introduction Sleep Apnea-hypopnea Syndrome (SAHS) is a severe sleep disorder with increasing morbidity in Chinese population. When sleep Apnea-Hypopnea Index (AHI) is greater than five, the diagnosis of SAHS is defined. The incidence of SAHS is about 2–4 % in general population
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