Implementation of Intelligence Pulse Wave Detection System
You-Sik Hong, J.S. Yu, Sei Chang, Siyuan Sun, W.B. Lee, Dong‐Hyun Nam, Mengshan Yu, Mun-Gyu Choi, Sang‐Suk Lee
Abstract
You-Sik Hong, J.S. Yu, Sei Chang, Siyuan Sun, W.B. Lee, Dong‐Hyun Nam, Mengshan Yu, Mun-Gyu Choi, Sang‐Suk Lee
Abstract
Abstract In oriental medicine, it is possible to classify and treat many diseases using the pulse wave detection system. Other problems may arise. As it is a very subjective way to analyze the pulse wave. One problem of the conventional pulse wave detection system is that the arterial pulse sensor is not located correctly at the radial artery. Threrefore measurement results can differ depending on the measurement position and the measurement procedure. This is mostly due to it's sensitivity to high reproducibility. In order to solve this problem this paper proposes an algorithm to analyze the weak pulse wave symptom and strong pulse wave symptom. It uses the portable pulse wave detection system which includes a Hall Sensor. As a final result, it analyzed the weak pulse wave symptom and strong pulse wave symptom by the SPSS statistics technique. It proves that N time (notch point time) and S Amp (rise waveform size) mean values are significantly different in 95% confidence interval.
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Abstract In oriental medicine, it is possible to classify and treat many diseases using the pulse wave detection system. Other problems may arise. As it is a very subjective way to analyze the pulse wave. One problem of the conventional pulse wave detection system is that the arterial pulse sensor is not located correctly at the radial artery. Threrefore measurement results can differ depending on the measurement position and the measurement procedure. This is mostly due to it's sensitivity to high reproducibility. In order to solve this problem this paper proposes an algorithm to analyze the weak pulse wave symptom and strong pulse wave symptom. It uses the portable pulse wave detection system which includes a Hall Sensor. As a final result, it analyzed the weak pulse wave symptom and strong pulse wave symptom by the SPSS statistics technique. It proves that N time (notch point time) and S Amp (rise waveform size) mean values are significantly different in 95% confidence interval.
Key concepts: Pulse (music), Computer science, Pulse Wave Analysis, Pulse wave, Telecommunications, Detector, Jitter