Development and Assessment of a Sleep Activity Behavior Monitoring Platform Integrated with Biofeedback Smart Pillow for Home Environment

• Main Authors: Shih Yuan Shen, 沈士元
• Other Authors: M. Y. Lee
• Format: Others
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/49583476332752052459

碩士 === 長庚大學 === 醫療機電工程研究所 === 103 === Obstructive Sleep Apnea Syndrome (OSAS) is caused by partial obstruction or complete blockage of the upper air way during sleep. Overnight polysomnography (PSG) is golden standard device for the diagnosis of OSAS. It monitors and records several biophysiological signals throughout the night by attaching several sensors to patients. This procedure is complex and requires a specialized sleep center. The purpose of this work is to develop a sleep activity behavior monitoring platform and provide self-monitoring of abnormal events in home environment. Besides, there are no clear and consistent criteria to follow in calculating the baseline of airflow or oxygen saturation for apnea and hypopnea events. Therefore, we proposed a method to calculate the baseline using tidal volume reduction ratio and oxygen saturation reduction. Experimental results demonstrated the proposed method can correctly determine the apnea and hypopnea events. In addition, previous literatures show occurrence of that the upper air way blockage may be dependent on movement of the head position during sleep. In this research, a smart pillow integrated with physiological measurements, head posture biofeedback and close-loop pneumatic control mechanism was developed. The pillow has four airbags with two degrees of freedom. It can provide the adjustment of positions with tilt angle range (0° to 21°) and rotational angle (0° to 24°) with less than the 1°. This work also evaluated the identification of apnea and hypopnea events using proposed baseline calculation method for clinical applicability.