Artificial Apnea Classification with Quantitative Sleep EEG Synchronization

Author:

Akṣahin Mehmet,Aydın Serap,Fırat Hikmet,Eroǧul Osman

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference34 articles.

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2. Várady, P., Micsik, T., Benedek, S., Benyó, Z., A Novel method for the detection of apnea and hypopnea events in respiration signals. IEEE Trans. BME 49(9):936–942, 2002.

3. McNames, J. N., Fraser, A. M., Obstructive sleep apnea classification based on spectrogram patterns in the electrocardiogram. Comput. Cardiol. 27:749–752, 2000.

4. Shinar, Z., Baharav, A., Obstructive sleep apnea detection based on electrocardiogram analysis. Comput. Cardiol. 27:757–760, 2000.

5. Suhas, S. R., Behbehani, K., Vijendra, S., et al., Time domain analysis of R-wave attenuation envelope for sleep apnea detection. Eng. Med. Biol. Soc. 2:3885–3888, 2004.

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