• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1494-1497
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• 2010

휴대형 심전도 단말기의 신호에서 잡음을 제거하고, 파형의 특징점을 찾아 임상파라미터를 추출하는 방법을 제안한다. 실험 결과, 본 방법으로 생성되는 심전도 형태와 임상 파라미터는 전문가의 소견으로 실제 사용상 만족할 만한 수준이었다. 우리의 조사에 의하면, 휴대형 단말기에서와 같이 잡음 수준이 높은 심전도 신호의 잡음 제거 및 해석에 대한 연구는 거의 발표된 적이 없다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4443-4449
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• 2011

ECG consists of various types of electrical signal on the heart, and feature point of these signals can be detected by analyzing the arrhythmia. So far, feature points extraction method for the detection of arrhythmia done in the many studies. However, it is not suitable for portable device using real time operation due to complicated operation. In this paper, R-peak were extracted using R-R interval and QRS width informations on patients. First, noise of low frequency bands eliminated using butterworth filter, and the R-peak was extracted by R-R interval moving average and QRS width moving average. In order to verify, it was experimented to compare the R-peak of data in MIT-BIH arrhythmia database and the R-peak of suggested algorithm. As a results, it showed an excellent detection for feature point of R-peak, even during the process of operation could be efficient way to confirm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.126-134
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• 2017

There have been numerous studies on extracting the R-peak from electrocardiogram (ECG) signals. However, most of the detection methods are complicated to implement in a real-time portable electrocardiograph device and have the disadvantage of requiring a large amount of calculations. R-peak detection requires pre-processing and post-processing related to baseline drift and the removal of noise from the commercial power supply for ECG data. An adaptive filter technique is widely used for R-peak detection, but the R-peak value cannot be detected when the input is lower than a threshold value. Moreover, there is a problem in detecting the P-peak and T-peak values due to the derivation of an erroneous threshold value as a result of noise. We propose a robust R-peak detection algorithm with low complexity and simple computation to solve these problems. The proposed scheme removes the baseline drift in ECG signals using an adaptive filter to solve the problems involved in threshold extraction. We also propose a technique to extract the appropriate threshold value automatically using the minimum and maximum values of the filtered ECG signal. To detect the R-peak from the ECG signal, we propose a threshold neighborhood search technique. Through experiments, we confirmed the improvement of the R-peak detection accuracy of the proposed method and achieved a detection speed that is suitable for a mobile system by reducing the amount of calculation. The experimental results show that the heart rate detection accuracy and sensitivity were very high (about 100%).

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2161-2162
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• 2006

In this study, we developed five mobile units and an integrated system which can manage vital signs from each unit using Bluetooth wireless communication. The five kinds of mobile unit were so designed that each has different function to be applied according to the condition of patient properly. The mobile units can measure ECG signal of single or 12 channel, blood pressure, pulse and SpO2 signal from a patient. Also, to reduce the uncomfortable measurement, several types of units such as belt type, wrist type and necklace type were designed. Our proposed system can integrate and monitor several biological signals from different patient by using Bluetooth wireless communication simultaneously. The developed system was evaluated in the simulated emergent situation and showed the system can monitor 5 patients in maximum according to the data quality. It showed the possibilities that the developed system can be used effectively for emergency situation or in- or out-hospital transport of patient. In future, with the combination of mobile communication technique, a patient who is in emergency situation can be provided with proper first-aid and a doctor can pile information of patient and give better diagnosis and treatments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.759-763
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• 2008

본 연구에서는 가정 내에서 보다 편리하게 건강모니터링을 수행하기 위한 홈헬스케어용 휴대형 건강모니터링 시스템을 구현하고자 하였다. 이를 위해 전문 의료인의 도움을 받지 않고도 일반인들이 쉽게 측정할 수 있으며, 많은 건강정보를 포함하고 있는 생체신호인 심전도, 맥파 그리고 체온을 동시에 모니터링 할 수 있는 다중생체 계측 시스템을 구현하였다. 구현된 생체계측 시스템은 신호검출을 위한 센서부, 각각의 생체신호를 증폭 및 필터링하기 위한 아날로그 신호처리부, 아날로그신호를 디지털로 변환하여 처리하고, 시스템 주변장치를 제어하기 위한 시스템제어부로 구성되었다. 또한 근거리 무선통신을 통해 시스템 자체에서의 생체신호 모니터링뿐만 PC등의 홈서버 상에서 무선모니터링이 가능하며, 웹을 통해 원격지에서도 생체신호의 모니터 링이 가능한 시스템을 구현하였다. 구현된 시스템의 성능평가 결과 홈헬스케어를 위한 원격 건강모니터링의 가능성을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.130-133
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• 2002

As a society advances, an aging phenomenon and many diseases which did not exist in old times are happening. Especially, in case of the aged patient, because we cant know the time the condition of the patients health become worse, the study of the Tele-information system has been actively carried out by the necessity of a persistent observation. A ECG signal a kind of a vital signals has been widely used to the medical information system as an usual clinical diagnosis for the patients who possess heart diseases. BlueTooth is a close range wireless communication technology which uses a wireless frequency 2.4GHz and has a high trust and self - error correction technology according to a low power consumption quality and a high-speed frequency hopping. This makes get a high trust concerning a data transmission than an existing modem. In addition, though wireless modem is restricted by a minimal of a wireless terminal, It will be possible to coincide with the function of the portable with the low power consumption quality by using Bluetooth. And as the system on a chip of module progresses, the possibility of the small size is present According to this, Bluetooth module transmits the medical information, which is input from the outside among the operations that use the Bluetooth to the Bluetooth module that is connected the host PC. And the system that the host PC transmits the medical information from the connected Bluetooth module to the Internet has once embedded. this study let the host PC embedded in advance of the existing system and transmit the medical information by the addition of the Tcp/Ip protocol stark under all embedded environments to internet.

• Journal of Sensor Science and Technology
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• v.17 no.2
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• pp.87-94
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• 2008

Blood pressure (BP), one of the most important vital signs, is used to identify an emergency state and reflects the blood flow characteristics of the cardiovascular system. The conventional noninvasive method of measuring BP is inconvenient because patients must wear a cuff on their arm and the measurement process takes time. This paper proposes an algorithm for estimating the BP using the pulse transit time (PTT) of the photoplethysmography (PPG) and pressure pulse from finger at the same time as a more convenient way to measure the BP. After recording the electrocardiogram (ECG), measuring the pressure pulse, and performing PPG, we calculated the PTT from the acquired signals. Then, we used a multiple regression analysis to measure the systolic and diastolic BP indirectly. Comparing the BP measured indirectly using the proposed algorithm and the real BP measured with a sphygmomanometer, the systolic pressure had a mean error of ${\pm}3.240$ mmHg and a standard deviation of 2.530 mmHg, while the diastolic pressure had a satisfactory result, i.e., a mean error of ${\pm}1.807$ mmHg and a standard deviation of 1.396 mmHg. These results are more superior than existing method estimating blood pressure using the one PTT and satisfy the ANSI/AAMI regulations for certifying a sphygmomanometer i.e., the measurement error should be within a mean error of ${\pm}5$ mmHg and a standard deviation of 8 mmHg. These results suggest the possibility of applying our method to a portable, long-term BP monitoring system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.65-73
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• 2012

Wrist wearable device for the measurement of pulse rate, ECG, and activity during normal daily life, which could be used for the continuous monitoring and remote transmission of acquired data, was developed. Pressure sensor, device attached electrodes, and 3-degree accelerometer were used. Analysis algorithm and firmware program were established for providing diagnostic information for the users. Results of this study, possible for the management of health report and transmission of the results through bluetooth by wearing simple personal wrist device, could be used for the development of portable device in the u-healthcare environment.

• Journal of Biomedical Engineering Research
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• v.5 no.2
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• pp.167-172
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• 1984

In the present study, we developed a nuclear stethoscope interfaced with a personal computer (APPLE- II) and evaluated it's performances as compared with the gamma camera. This single-probe, ECG-gated system has been used for displaying the left ventricular time-activity curves, the peak ejection time and its rate, the peak filling time and its rate, and the R-R interval distribution. The radioactivity was measured at every 10msec around the ventricular region, where the activity curves shows the maximal peak to peak variations. The background activity was measured around the lung area showing its counts approximately 50% of the end-diastolic count with minimal variations. The average time-activity curves of 100 beats were used for analysis in the equilibrium study after intravenous injection of 15-20mCi of Tc. The ejection fractions measured by the nuclear stethoscope(Y) were compared with those measured by gamma camera(X) in 47 patients with various heart diseases. The correlation coefficient between two measurements was 0.766 with a relation of Y=1.04 x-8.48. Also, the high reproducibility was obtained for the same patient. Also, the high reproducibility was obtained for the same patient. From this study, we conclude that this device is useful for continuous monitoring in the intensive care unit, as it is portable, compact, and inexpensive.

• Journal of Sensor Science and Technology
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• v.12 no.3
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• pp.121-127
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• 2003

In this study, we carried out a study for implementation of the pre-amplifier and the digital signal processing part for the potable EEG biofeedback system. As we consider characteristics of the EEG signal, we designed the pre-amplifier to obtain the EEG signal to be reduced noise signal. Because the EEG signal include EOG, EMG, ECG signals etc, it is difficult to analyze of the EEG signal. Therefore, we developed DSP board and operation program which was embed the LMS adaptive filter algorithm and operate with the pre-amplifier in the real time. The simulation signal and pure EEG signal is used in the experiment. As the result, we confirmed good efficiency of developed system and possibility of application to the portable EEG biofeedback system.