Development for automatic diagnosis system for health condition, using entropy of behavior information

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In the first year, I developed measurement systems and software for data acquisition and analysis.The measurement system consists of infrared sensors, wired and wireless network systems, and Bluetooth wireless communication device. I also developed the mobile type sensor system using accelerometer and Bluetooth wireless communication device. In the traditional system, the measurement system has problem of the size and energy consumption. In the developed system, I reduce the thickness of the device for the portability. As the result of improvement, the time for measurement is extended. In addition, I can acquire the data of the subject on the Internet, because I developed the data acquisition software on the WWW system. Furthermore, I developed an algorithm to acquire the entropy from long term data.In the second year, I verified utility and the validity of the developed system. In this year I acquired the long term data of the behavior in the daily life. In addition, I analyze the long term data First I adopt the traditional linear method for comparison. However I found the unusual points of data, I could not found the significant difference between usual data and unusual data. Second, I acquired the indexes using entropy of long time data. I found the significant difference between the indexes from usual and unusual state. This result was corresponding to the result of questionnaire survey. As the result, the effectiveness of the proposal technique was suggested.