Atıf İçin Kopyala
Sümbül H., Yuzer A. H., Sekeroglu K.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, cilt.60, sa.2, ss.619-632, 2022 (SCI-Expanded)
-
Yayın Türü:
Makale / Tam Makale
-
Cilt numarası:
60
Sayı:
2
-
Basım Tarihi:
2022
-
Doi Numarası:
10.1007/s11517-021-02492-x
-
Dergi Adı:
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
-
Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Business Source Elite, Business Source Premier, CINAHL, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
-
Sayfa Sayıları:
ss.619-632
-
Anahtar Kelimeler:
Sleep Apnea, GSM, SMS/CALL, Wearable devices, Acceleration sensor, AIR-FLOW, DIAGNOSIS, ARCHITECTURE, FREQUENCY
-
Ondokuz Mayıs Üniversitesi Adresli:
Evet
Özet
Background and objective Continuous monitoring of breathing activity plays a vital role in the detection of respiratory-based diseases (SA, COPD, etc.). Sleep Apnea (SA) is characterized by recurrent upper airway obstruction during sleep associated with arterial blood denaturation, sympathetic nervous system activation, and cardiovascular impairment. Untreated patients with SA have increased mortality rates compared to the general population. This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors in the Covid-19 era.