[Show abstract][Hide abstract] ABSTRACT: This paper proposes a sensing system for a behavior detection system using an ultrasonic oscillosensor and an air pressure sensor. The ultrasonic oscillosensor sensor has a cylindrical tank filled with water. It detects the vibration of the target object from the signal reflected from the water surface. This sensor can detect a biological vibration by setting to the bottom bed frame. The air pressure sensor consists of a polypropylene sheet and an air pressure sensor, and detects the pressure information by setting under the bed's mattress. An increase (decrease) in the load placed on the bed is detected by the increase (decrease) in the pressure of the air held in the tube attached to the sheet. We propose a behavior detection system using both sensors, complementally. The system recognizes three states (nobody in bed, keeping quiet in bed, moving in bed) using both sensors, and we detect the behavior before getting out of bed by recognized these states. Fuzzy logic plays a primary role in the system. As the fundamental experiment, we applied the system to five healthy volunteers, the system successfully recognized three states, and detected the behavior before getting out of bed. As the clinical experiment, we applied the system to four elderly patients with dementia, the system exactly detected the behavior before getting out of the bed with enough time for medical care support.
No preview · Article · Mar 2010 · IEICE Transactions on Information and Systems
[Show abstract][Hide abstract] ABSTRACT: Recently, the increase of care burden due to the increase of number of the elderly dementia patients is a matter of concern in Japan. However, dementia of the elderly tends to be wrongly recognized as the effect of aging, and there are many cases in which early detection are difficult. In this paper, we focus on the cognitive impairment as one of the core symptoms of dementia, and propose the fuzzy estimation system to detect the level of dementia through monitoring the participants' sleep using air pressure and ultrasonic sensor systems which were developed by our laboratory. As a result of applying this method to twenty-three women in a nursing home, we could confirm the high correlation between the degree of dementia and the truth value, the score of Revised Hasegawa's dementia scale.
[Show abstract][Hide abstract] 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.
[Show abstract][Hide abstract] ABSTRACT: In this paper, we introduce a health monitoring system by both air pressure and ultrasonic sensors. The system of these sensors can complementary detect a behavior before getting out of bed with high accuracy aided by fuzzy membership functions. In this system, the ultrasonic sensor can obtain vibration information of human by setting it the under a bed frame. The air pressure sensor can also detect a pressure change of movement of human by setting it into the mattress on the bed. By using these sensors, we construct a fuzzy system to detect a behavior before getting out of bed.