Heartbeat Rate and Respiratory Rate Detection based on Fuzzy Logic by Air Pressure Sensor

Abstract

This paper describes a method for heartbeat rate and respiratory rate monitoring system using an air pressure sensor. Many people suffer from sleep disorders such as Sleep Apnea Syndrome (SAS), and these population increases recently. In generally, polysomnography (PSG) is used for diagnosis of sleep assessment. However, this monitoring system constrains patients during the measurement. The air pressure sensor can detect unconstraintly the vital information in the bed. We propose a detection method of heartbeat point and respiratory point using fuzzy membership functions. The experimental results show that the best error ratio of heartbeat rate was 1.71 % and the best error ratio of respiratory rate was 2.08 %. Consequently, this system can noninvasively detect vital signals by using an unconstrained device.