Journal of Bioprocessing & Biotechniques

Dean Cvetkovic

Publications

• Research Article
  Automatic Sleep Stage Detection and Classification: Distinguishing Between Patients with Periodic Limb Movements, Sleep Apnea Hypopnea Syndrome, and Healthy Controls Using Electrooculography (EOG) Signals
  Author(s): Emad Malaekah, SobhanSalari Shahrbabaki and Dean CvetkovicEmad Malaekah, SobhanSalari Shahrbabaki and Dean Cvetkovic
  
  Background: To improve the diagnostic and clinical treatment of sleep disorders, the first important step is to identify or detect the sleep stages. Utilizing the conventional method-known as visual sleep stage scoring-is tedious and time-consuming. Therefore, there is a significant need to create or develop a new automatic sleep stage detection system to assist the sleep physician in evaluating the sleep stages of patients or non-patient subjects. The first aim of this study is to develop an algorithm for automatic sleep stage detection based on Electrooculography (EOG) signals. The second aim is to utilize sleep quality parameters to classify and screen Periodic Limb Movements of Sleep (PLMS) patients and Sleep Apnea Hypopnea Syndrome (SAHS) patients, as distinct from healthy control subjects. Methods: 10 patients with P.. Read More»
  DOI: 10.4172/2155-9821.1000216

  Abstract PDF