Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea

Abstract

A method for the automatic processing of the electrocardiogram (ECG) for the detection of obstructive apnoea is presented. The method screens nighttime single-lead ECG recordings for the presence of major sleep apnoea and provides a minute-by-minute analysis of disordered breathing. A large independently validated database of 70 ECG recordings acquired from normal subjects and subjects with obstructive and mixed sleep apnoea, each of approximately eight hours in duration, was used throughout the study. Thirty-five of these recordings were used for training and 35 retained for independent testing. A wide variety of features based on heartbeat intervals and an ECG-derived respiratory signal were considered. Classifiers based on linear and quadratic discriminants were compared. Feature selection and regularization of classifier parameters were used to optimize classifier performance. Results show that the normal recordings could be separated from the apnoea recordings with a 100% success rate and a minute-by-minute classification accuracy of over 90% is achievable.

Multimodal detection of sleep apnoea using electrocardiogram and oximetry signals

“…Previous studies using ECG had shown that features based on the timing of QRS complexes (Guilleminault et al 1984;Hilton et al 1999;Roche et al 1999), and the amplitude of the ECG (Moody et al 1986;Travaglini et al 1998), might be useful for apnoea identification. We previously considered both types of features and successfully designed an ECG-based apnoea detection system (de Chazal et al 2003). Similar features were considered in this study.…”

Online learning algorithms for principal component analysis applied on single-lead ECGs

“…In general, however, the leads most suited for respiratory estimation are known to change from subject to subject [ 20 ]. Moreover, several ideas that utilize single-channel ECG data to detect the obtrusive sleep apnea have been presented in [ 4 ]. As the approaches of this paper have proven successful in the detection of stops in breathing, it is conceivable that the changes in the properties of the online-estimated eigenvectors can endorse the tools used in sleep studies to indicate the incidence of apnea.…”

A Novel Technique to Improve ECG Signal using SVM

“…This data was isolated into 35 folds with each cover containing the data from one recording. This methodology was used to assess the execution of different confident classifiers and recognize the best performing classifiers for second execution estimation [3]. [4] Recent propensities inside the field of in-household rest observing have the capacity to improve somebody's sound sleeping knowledge and comprehend prosperity.…”

“…Wi-Vi is utilized for following human body activities and Vital Radio created applying Wi-Vi is utilized to track human breathing example and heart rate. [6] An approach for the customized treatment of ECG for the obstructive apnea ID is advanced. The methodology screens midnight single-lead ECG recordings for proximity of essential Sleep apneaand supply a minute with the guide of-minute jumbled breath examination.…”