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Electrocardiograms (ECG) display important information about the cardiac activity of the human heart. An early diagnosis can be significantly improved through long-term remote monitoring of the patient. This involves large quantities of data to be transmitted to a physician for interpretation. Therefore, reliable compression algorithms have to be developed. The performance of a compression method...
Traditional definitions of power quantities presented in the IEEE Standard 1459-2000 are compatible only with stationary waveforms, however for non-stationary waveforms, the wavelet-based approach has been shown to be more suitable. This paper develops a new wavelet packet transform (WPT) based approach for measuring the recommended power quantities in the IEEE Standard. The reformulated quantities...
Early diagnosis of different maladies and pathologies of human vocal system using noninvasive methods and diverse signal processing technics is a problem that is particularly considered by biomedical engineering and signal processing researchers, recently. Automatic detection of voice pathology from speech signal is a new topic and has not been progressed enough. An algorithm able to classify two...
Obstructive sleep apnea (OSA) causes a pause in air-flow with continuing breathing effort. In contrast, central sleep apnea (CSA) event is not accompanied with breathing effort. The aim of this study is to differentiate characteristics of CSA and OSA using wavelet packet analysis of ECG signal over 5 second period and support vector machines. Six patients were used in the study that contained both...
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