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The Application of Time-Series Analysis to the Diagnosis of Complex Internal Disorders: Sleep Apnea

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Abstract

Clinical pictures in internal medicine are usually defined in terms of threshold values of certain specific parameters. Hypertension, for instance, is defined as a systolic arterial blood pressure in excess of 140 mmHg or a diastolic reading of more than 95 mmHg. Complex clinical pictures such as sleep apnea cannot be adequately described in this way, however, as they involve a large variety of interrelated parameters whose development has to be evaluated over a longer period of time. As far as ECG parameters are concerned, such monitoring has long been practised in intensive care units. In complex disorders, though, parameters of a widely different nature have to be taken into account and interpreted in a comprehensive approach. A systematic comparison of, for example, ECG, EEG, blood pressure, and various respiratory parameters is not easily accomplished. It is here that the methods of time-series analysis become indispensable [1].

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© 1987 Springer-Verlag Berlin Heidelberg

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Penzel, T., Peter, J.H. (1987). The Application of Time-Series Analysis to the Diagnosis of Complex Internal Disorders: Sleep Apnea. In: Peter, J.H., Podszus, T., von Wichert, P. (eds) Sleep Related Disorders and Internal Diseases. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72560-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-72560-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-72562-3

  • Online ISBN: 978-3-642-72560-9

  • eBook Packages: Springer Book Archive

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