A different sleep apnea classification system with neural network based on the acceleration signals

Yuzer A. H., Sümbül H., Nour M., POLAT K.

APPLIED ACOUSTICS, cilt.163, 2020 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 163
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.apacoust.2020.107225
  • Dergi Adı: APPLIED ACOUSTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Communication & Mass Media Index, Compendex, ICONDA Bibliographic, INSPEC, DIALNET
  • Anahtar Kelimeler: Sleep apnea, Acceleration sensor, Acceleration data, Artificial neural network, Medical decision making, ELECTROCARDIOGRAM, PREDICTION, DIAGNOSIS, EVENTS, DEVICE
  • 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.