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This paper presents a new algorithm for the detection of Obstructive Sleep Apnea (OSA) from a single electrocardiogram lead. It is based on the alterations that OSA patients present in the LF and HF bands of the heart rate variability power spectrum. The algorithm calculates the power of the spectrum in two bands that roughly corresponding with the LF and HF bands. Then the ratio between the power of the low band and the power of the high band is obtained. If this ratio is greater than a certain threshold the patient is classified as having OSA, otherwise he/she is classified as not having OSA. Then the algorithm was validated over the test data set of the Apnea-ECG Database, classifying correctly 29 of 30 recordings.

DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY