A Review on Sleep Apnea Detection from ECG Signal

Electronics and Communication Engineering

NATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCEMENTS IN ENGINEERING

Our body constantly communicates information about our health. This information can be capture through physiological instruments that measure heart rate, blood pressure, oxygen saturation and so forth. ECG signal is the most important and powerful tool which contains the diagnosis and treatment of heart diseases. Sleep disorder is characterized by the breaks in respiratory breathing process of uncommon breathing during sleep is called sleep apnea disorder. For an apnea patient the muscles of pharynx relax too much that it obstruct the passage of air flow and this cause the patient to break sleep. From the last few years, various signals have been used for the detection of sleep apnea syndrome or disorder. There are several algorithms for the detection of sleep apnea which include feature extraction followed by feature selection and classification methods. The results of classification can be predicted by accuracy, sensitivity and specificity. These papers focus on the review of various classification methods for detection of sleep apnea from ECG signal.

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