Accelerometer-Based Model Acquiring Data on Sleep Apnea Symptoms

Abstract

Obstructive sleep apnea (OSA) is a common middle-aged sleep disorder, especially in the elderly. Nonetheless, people with experience sleep apnea often undiagnosed and completed treatment because the method performs in hospitals and medical centers with special medical equipment supervised by the medical team all night long. In this paper, we proposed to build a data collection system on sleep apnea, using our proposed device with the criterion of compact size, low cost, and easy implementation at home. This device measures the common carotid artery (CCA) and internal jugular vein (IJV) movements in the patient's neck with an accelerometer that is fixed by an electrode patch. The signal received from the sensor will be sent to the system through an Internet connection to store and create a data set about OSA for monitoring and later detection purposes.