A human health monitoring system of systems in bed
ABSTRACT This paper describes a human health monitoring system by an air pressure sensor and an ultrasonic sensor system. The ultrasonic sensor system can obtain the state of a patient in bed by placing it under a bed frame. That is, we can determine whether or not a patient in the bed. The air pressure sensor system can detect heart beats by placing it to the mattress on the bed. By using two sensors complementary, we can detect the behavior before getting out of bed aided by fuzzy inference technique. The system of the two sensors can complementary detects the state, heart beat, a behavior before getting out of bed. Thus, the system of the two sensor systems can noninvasively and unconsciously provide human health information with high accuracy aided by fuzzy logic.
Conference Proceeding: A Heart Pulse Monitoring System by Air Pressure and Ultrasonic Sensor Systems[show abstract] [hide abstract]
ABSTRACT: This paper describes a heart pulse monitoring system by both air pressure sensor and ultrasonic sensor systems. Our developed ultrasonic oscillosensor system can obtain the heart pulse information of human by setting to the under of the bed. Our developed air pressure sensor system can also detect a pressure change of vital information and a heart pulse by setting into the mattress on the bed. The air pressure sensor could detect the heart pulse at higher accuracy. However, it depends on the position of the senor in the bed. A system of the two sensor systems can complementary provides the heart pulse with high accuracy and robustness.System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on; 05/2007
Conference Proceeding: Fuzzy Extraction System for Heart Pulse by Air Pressure Sensor[show abstract] [hide abstract]
ABSTRACT: In this paper, we detect a pressure change of vital information and a heart pulse using an air pressure sensor. We could detect the heart pulse at higher S/N ratio for the various positions using an air pressure sensor. As the result for live volunteers, we could extract the heart pulse at the 1.28% error ratio. In the temporal transitional interval time of heart pulse between our method and a sphygmograph, the mean error is 4.73. This accuracy is enough to process heart rate monitoring in clinical usageIntelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on; 01/2007
- IEICE Transactions. 01/2007; 90-D:1864-1872.