Fuzzy Logic and Causal Analysis in Biomedical Sensing System
- Resource Type
- Conference
- Authors
- Hiroshi Nakajima; Naoki Tsuchiya; Kenta Yamamoto; Yutaka Hata
- Source
- 한국지능시스템학회 학술발표 논문집. 2010-11 20(2):16-20
- Subject
- Fuzzy logic
Causality analysis
biological sensing
heart rate
monitoring
health management
- Language
- Korean
- ISSN
- 2093-4025
2765-0294
This article proposes the combination of fuzzy logic and causal analysis regarding biomedical sensing. As one of the applications, a heart rate monitoring system is introduced. It monitors heart rate of human body during sleep or lying on the bed. The system consists of an air pressure sensor and data analysis computation part. Fuzzy logic is employed as a role of filtering heart beat signals from an air pressure sensor data which superimposes vibration signals of heart beat, body movement, and respiration. Causal analysis plays a role of making transparent of calculation flow in heart rate from the extracted heat beat signals. The experiments were conducted to prove the performance of the proposed method. Experimental results were very high correlation coefficient of around 0.85.