• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1411-1412
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• 2015

본 연구에서는 맥박 측정에서 생기는 잡음들 중 많은 오류를 생기게 하는 동잡음 개선을 위하여 회로를 제안하고 설계하였다. 기존의 맥박추정 장비에서 가변저항, 광원 스위칭, 디지털 필터를 사용함으로써 정확도 향상을 위한 연구를 하였다. 손가락에서 광전용적맥파를 측정시 측정부의 광원을 2개를 사용하고, 이를 스위칭을 통해 파형을 측정을 하였다. 실험에서 PPG의 측정은 반사형 방식을 사용하고 이를 광원스위칭을 통해 신호를 받아들였다. 이를 저주파통과필터와 고주파통과필터를 사용하여 0.5~5Hz대역을 필터링 함으로써 PPG이외의 잡음을 제거하고 신호를 검출하였다. 검출된 파형을 지수가중이중필터로 필터링을 함으로써 정확성을 높였다. 이를 통하여 광원스위칭을 통한 PPG의 출력과 발광다이오드 한 개를 사용한 출력을 비교 분석을 보여줄 것이다.

• Journal of the Korean Magnetics Society
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• v.21 no.3
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• pp.104-107
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• 2011

We measured signals at the "Guan" region of a radially arterial pulse using the prototype of a clamping pulsimeter equipped with a Hall effect device, which is passed signals through the voltage detecting hard ware system. The important four different measuring times of the period, systolic, reflective, and notch peaks for a temporally pulse signal are obtained and compared each other from the analysis for an arbitrary pulse wave of one position of small size permanent magnet. It is possible to measure the reproducible pulse rate and blood pressure by using the cuffless clip type pulsimeter without an unpleasant oppressive feeling due to the use of pressurization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.1008-1013
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• 2009

In this paper, we proposed the biological signal (body heat, pulse, breathe rate, and blood pressure) analysis system using wireless sensor. In order to analyze, we designed a back-propagation neural network system using expert group system. The proposed system is consist of hardware patt such as UStar-2400 ISP and Wireless sensor and software part such as Knowledge Base module, Inference Engine module and User Interface module which is inserted in Host PC. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. For conducting simulation, we chose 100 data sets from Knowledge Base module to train the neural network. As a result, we obtained about 95% accuracy using 128 data sets from Knowledge Base module and acquired about 85% accuracy which experiments 13 students using wireless sensor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.145-151
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• 2012

The pulsimeter is a representative device in the oriental medicine, which can analysis a risk factor in a cardiovascular diseases. However, most of the previous methods have the limit by the contacted sate of the brachial pulse and sensor in the measuring time, the inaccuracy of detected pulse, and the difficulty of pulse analysis. Accordingly, we propose the moving pulse image analysis based pulsimeter that can acquire a pulse of patient in real time by analyzing a moving image. then this video is shot the state change of the T.S. occurred by a pulse in capillary. In order to evaluate the performance of the our pulsimeter, we measured a respective detecting-rate about the essential 5 feature-points in the pulse analysis from the detected original pulse. As a result, the proposed method is very successful.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.378-387
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• 2016

This study sought to investigate interrelationships and differences of brachial-ankle pulse wave velocity (baPWV), body composition and cardiovascular variables between genders who have been exercised or not in elderly. One hundred fifty participants were classified four groups. Especially out of variables, in male elderly group who had participated in exercise program the PWV range were significantly correlated with muscle mass (r=0.357, p=0.026), SBP (r=0.468, p=0.003), right baPWV (r=0.406, p=0.010), and left baPWV (r=0.333, p=0.038). In male elderly group who had not participated in exercise program, the PWV range were significantly correlated with heart rate (r=0.395, p=0.014), right baPWV (r=0.598, p=0.000), and left baPWV (r=0.602, p=0.000). In female elderly group who had participated in exercise program, the PWV range were significantly correlated with name of diagnosis (r=0.321, p=0.044), SBP (r=0.399, p=0.011), DBP (r=0.545, p=0.000), right baPWV (r=0.648, p=0.000), and left baPWV (r=0.676, p=0.000). In female elderly group who had not participated in exercise program, the PWV range were significantly correlated with age (r=0.471, p=0.003), right baPWV (r=0.836, p=0.000), and left baPWV (r=0.801, p=0.000). The PWV among four groups were not significant different after experiment. However, there were significant differences in the waist/hip ratio (F=9.197, p=0.000), muscle mass (F=74.295, p=0.000), and %fat (F=35.045, p=0.000) from body composition. And there were significant differences in the SBP (F=3.525, p=0.017) after experiment. In conclusion, these data show that regular exercise is associated with arterial compliance (PWV range, right or left PWV) and differed from genders. In other words, this paper may support the concept that regular exercise program may exert a protective effect on arterial compliance, body composition and cardiovascular systems.