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Title: Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram
Other Titles: International Conference on Pattern Recognition: 16th : Quebec: 2002
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Keywords: Sleep apnoea
Issue Date: 2002
Publisher: IEEE
Citation: de Chazal, P., Heneghan, C., Reilly, R.B., Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram: proceedings of the 16th International Conference on Pattern Recognition, Quebec, IEEE, 2002, pp775-778
Abstract: A method for the automatic processing of the electrocardiogram (ECG) for the detection of disordered breathing associated with obstructive sleep apnoea is presented. The method provides a minute-by-minute analysis of night-time single lead ECG recordings. An independently validated database of 35 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. A wide variety of features based on heart beat intervals and an electrocardiogram derived respiratory signal were considered. Classifiers based on linear and quadratic discriminants were used. Results show that a 90% success rate in correctly identifying one-minute segments containing disordered breathing is achievable.
Description: PUBLISHED
Appears in Collections:Administrative Staff Authors (Scholarly Publications)

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