• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.105-110
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• 2019

People sleep about one-third of their lives and their sleep time varies according to age. Adult usually sleep 8 hours a day. However, that dose not guarantee good sleep. The cause of this is due to sleep disorders like snoring and sleep apnea. In this paper, the smart pillow for detecting snoring among sleep disorders is investigated. This pillow consists of two microphones located on the left and right side of the pillow. For simple detecting, the snoring signal was converted into the pulse using a peak detection circuit. The decision of the snoring occurrence was by pulse duration. The accuracy of the snoring detection was about 97%. The research results show that the smart pillow can be use to detect the snoring during sleeping.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.4 s.316
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• pp.74-78
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• 2007

Novel concept of sensor mat and its signal processing method is proposed for patient monitoring in medical application. Proposed sensor mat structure has sensing inner layer which has cross-linked arrangement using plastic optical fiber(POF). Large core diameter of plastic optical fiber behaved as band pass filter by averaging the noise component caused by unwanted environmental factors. Signal processor followed by sensor output added noise immune performance by filtering out unwanted component. Fail-proof patient breath monitoring scheme was realized by using intelligent decision algorithm. Unlike the conventional approach by using mechanical sensor, which have high sensitivity both to signal and to environmental noise, our approach provided reliable breath motion detection.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.90-95
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• 2006

Polysomonography, a way of diagnosing patients for Sleep Apnea, measures several kinds of bio-signal simultaneously. So it makes patients' behavior restricted and the examination more expensive. In this paper, presents another way of examining patients' ECGs, which are transferred to a computer system through a new wireless communication, Zigbee. This way of using Zigbee has solved restrictions of places and time for Polysomonography; and thus it is possible to reduce the cost, as well as improving patients' liberty.

• Journal of IKEEE
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• v.12 no.4
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• pp.204-210
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• 2008

Generally, among the EEG signal, alpha wave is said to be strongly appeared in stable state and beta wave in active state. And in oriental medicine, it is said that relative long and regular respiration shows stable state rather than short and irregular respiration. In this paper, we tried to find out relation between respiration and EEG in stable state using quantitative parameters such as stable state ratio and equivalent ratio of respiration which was defined to indicate the degree of stable state quantitatively. And we verified our proposal by the real experiment for 20 persons.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.204-209
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• 2005

The respiration measurement method using the ultrasound sensor hardly gets an influence of an error of inertia and pressure and it is a respiratory detection device available semi-permanently. This device measures the amount and flow of respiration through using a delivery speed difference of the ultrasound waves that are a return format by the pneumatic stream that is a flogging of ultrasound waves during transmission and receipt as having used a characteristic of ultrasound waves. In this paper, it improved sensitivity of a signal to happen during transmission and receipt of a sensor because measurement must be performed with a patient to the center and measurement was played in a weak breathing so that it was possible.

• Journal of Biomedical Engineering Research
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• v.20 no.3
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• pp.299-305
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• 1999

In thls paper, the representative beal textraction algorIthms for the diagnostic parameter extraction in noisy signal were compared. We used the avernge, median, mode, and trmmed mean to calculale the central tendency. In our experimenl, we have restricted to four kinds of noises -EMG noise, 60Hz powerline inlerference, ahrupl baseline shift, and baselme drift due to respimtion-which were commonly occurred in ECG mgnal, then we have calculated signal-to-noise ratios(SNRs) for the ECG corrupted with each noise and all noises together. As the result of this paper, we have proved that the average method has super lor performance than the others in the ECG corrupted wilh EMG noise. When the signal mcludes extreme value such as abrupt baseline shIft, the median, mode, trimmed mean methods have supenor performance in the SNR ratios. Especially when the ECG corrupted with baseline drift due to respirallon, the trimmed mean method was most efficient because ST level change was 0 V.

• Journal of the Korean Society for Nondestructive Testing
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• v.25 no.4
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• pp.268-273
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• 2005

The spirometer is a medical device that measures the instantaneous velocity of the respiratory gas flow capacity. It is used for testing the condition of the lung and patient monitoring. It measures the absolute capacity difference that includes the flow capacity signal. In this paper, by using an ultrasound sensor that reduce+ the error caused by the inertia and pressure it has improved the transmission and receiving signal. This has enabled patients with weak respiratory to use the spirometer. Also, by using the ARM 920T Processor, a precise and prompt detection system was implemented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.417-420
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• 2005

The spirometer is a medical device that measures the instantaneous velocity of the respiratory gas flow capacity. It is used for testing the condition of the lung and patient monitoring. It measures the absolute capacity difference that includes the flow capacity signal. In this paper, by using an ultrasound sensor that reduce the error caused by the inertia and pressure it has improved the transmission and receiving signal. This has enabled patients with weal respiratory to use the spirometer. Also, by using the embedded hardware system, a precise and prompt detection system was implemented.

• Journal of Biomedical Engineering Research
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• v.23 no.6
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• pp.485-489
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• 2002

In this study. respiratory efforts were monitored by the change of pulse transit time (PTT) which is related with the arterial pressure PTT is the time interval between the peak of R wave in ECG and the maximal slope point of photoplethysmogram(PPG). Biosignals, ECG and finger photoplethysmogram(PPG), were converted to digital data, and PTT was evaluated in personal computer with every heart beat. Results were presented as a graph using spline interpolation. The software was implemented in C$\^$++/ as a window-based application program. PTT was periodically changed according to airflow in resting respiration. In the resting respiration, PTT was changed according to the respiratory cycle. The amplitude of PTT fluctuation was increased by deep respiration, and increased by partial airway obstruction. These results suggest that PTT is responsible to respiratory effort which could be evaluated by the pattern of PTT change. And it is expected that PTT could be applied in the monitoring of respiratory effort by noninvasive methods, and is very useful method for the evaluation of respiratory distress.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1393-1394
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• 2008

본 논문은 사람의 호흡과 심박 수를 0.5 m 의 거리에서 원격 측정하는 레이더 시스템 설계에 관한 내용을 기술한다. 기존에 많이 사용되었던 능동 주파수 혼합기 회로를 파형 간섭 효과를 이용한 6 -포트 회로로 대치하여 설계하였으며 특히 전력 검출기 성능에 따라 낮은 국부 발진기 전력을 사용할 수 있다는 장점을 가짐을 보였다. 본 논문에서는 수신신호 감지를 위한 최적의 국부 발진기의 전력을 제시하였다.