Obstructive sleep apnea (OSA)is the most common diagnosis for pediatric sleep disorders. OSA occurs in 2-5% of children and the clinical symptoms are often very subtle-snoring or mouth breathing. In Taiwan, the parents can mistake the symptom as rhinitis due to its high prevalence (over 50% of children) and delay the diagnosis of OSA. The narrow craniofacial structure of Asian children predisposes them to more severe apnea compared to the western children. If the pediatric OSA cannot diagnosis promptly, the children may suffer from many adverse health consequences such as Attention-Deficit/Hyperactivity Disorder or delayed speech or language development. For children at school age, OSA can lead to social disturbance, emotional or behavior disorders, and learning/cognitive problems. Early diagnosis of pediatric OSA gains more and more attention. However, the sleep center in Taiwan is already overwhelmed by adult sleep patients and each patient has to wait for around six months for the sleep test and the insufficient resource for pediatric patients make it difficult for the early diagnosis or treatment follow-up. The aims of this proposal are therefore to apply the time-frequency analysis on the pediatric polysomnography database recorded in sleep center and to probe the alternative biomarkers for pediatric sleep apnea. The surrogates developed from the database will be implemented into the miniaturized or wearable devices and integrated with the cloud system for early diagnosing and continuously following up for pediatric patients with OSA. Furthermore, the biomarkers for different disorders related to hypersomnolence will also be explored from the database. Finally, the data uploaded to the cloud system can be assessed by the clinical staff anywhere and anytime which helps the treatment of those patients or subjects can be tailored accordingly to accomplish personalized medicine.
|Effective start/end date||1/08/20 → 31/07/21|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):