Atıf İçin Kopyala
Yuzer A. H., Sümbül H., Nour M., POLAT K.
APPLIED ACOUSTICS, cilt.163, 2020 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
163
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Basım Tarihi:
2020
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Doi Numarası:
10.1016/j.apacoust.2020.107225
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Dergi Adı:
APPLIED ACOUSTICS
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Communication & Mass Media Index, Compendex, ICONDA Bibliographic, INSPEC, DIALNET
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Anahtar Kelimeler:
Sleep apnea, Acceleration sensor, Acceleration data, Artificial neural network, Medical decision making, ELECTROCARDIOGRAM, PREDICTION, DIAGNOSIS, EVENTS, DEVICE
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Ondokuz Mayıs Üniversitesi Adresli:
Evet
Özet
Background and objective: The apnea syndrome is characterized by an abnormal breath pause or reduction in the airflow during sleep. It is reported in the literature that it affects 2% of middle-aged women and 4% of middle-aged men, approximately. This study has vital importance, especially for the elderly, the disabled, and pediatric sleep apnea patients.