• Journal of the Institute of Convergence Signal Processing
• /
• v.13 no.1
• /
• pp.44-49
• /
• 2012

The indirect-contact ECG measurement is a newly developed method for unconstrained and nonconscious measurement in daily Life. This study is the first step to reducing the large background noise appearing in indirect-contact ECG. This study built the thermal noise model of capacitively coupled active electrode which is used in indirect-contact ECG. The results show that the level of thermal noise estimated by the thermal noise model is much the same as that of actual background noise for the capacitively coupled active electrode alone. By applying the actual electrical properties of a sample cotton cloth to the thermal noise model, the theoretical level of thermal noise in the indirect-contact ECG was estimated. The results also show that the level of op-amp's intrinsic noise is so small that it can be negligible in comparison with thermal noise of resistors. The relationship between the level of thermal noise and the resistance of the bias resistor was derived, and it is the base for the further study how to choice the optimal resistance for the bias resistor.

• Journal of the Institute of Convergence Signal Processing
• /
• v.7 no.1
• /
• pp.33-37
• /
• 2006

In this paper, we present a centralized monitoring system for infant incubator using Bluetooth. Conventional monitoring systems for incubators require large space and wire connection, which causes the spatial restrictions. To overcome this disadvantage, centralized monitoring system is proposed for infant incubators using Bluetooth. The implemented system consists mainly of transmission systems and receiver systems. There are temperature sensors, humidity sensors, ECG measurement units and Bluetooth modules in the transmission systems. For temperature, humidity and ECG data, the transmission systems acquire them from the measuring modules in the incubator and transmits the signals using Bluetooth. In the receiver system, users can see the status of the infant by accessing the central monitoring host computer. That is, one can monitor the information on the temperature and the humidity in the incubator and Infant's ECG without dependence to a conventional bulky system. Also, the system manager in the receiver system can maintain centralized monitoring of the situations in all incubators and infant. The developed system will be useful in remote diagnosis of infant incubator In various environments.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.4C
• /
• pp.313-320
• /
• 2012

An ECG(Electrocardiogram) compression can increase the processing speed of system as well as reduce amount of signal transmission and data storage of long-term records. Whereas conventional performance evaluations of loss or lossless compression algorithms measure PRD(Percent RMS Difference) and CR(Compression Ratio) in the viewpoint of engineers, this paper focused on the performance evaluations of compression algorithms in the viewpoint of diagnostician who diagnosis ECG. Generally, for not effecting the diagnosis in the ECG compression, the position, length, amplitude and waveform of the restored signal of PQRST wave should not be damaged. AZTEC, a typical ECG compression algorithm, is validated its effectiveness in conventional performance evaluation. In this paper, we propose novel performance evaluation of AZTEC in the viewpoint of diagnostician.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
• /
• v.11 no.2
• /
• pp.29-33
• /
• 2012

ECG widely used in cardiac function test is a graph that is recorded by measuring the electrical impulses occurred in the heart. Normal ECG has the form of similar sections that are repeated, and each section has the information occurred in a heart beat. Thus, In order to make the correct diagnosis, correct grasp of the sections and formed analysis must be done. In this research, a system that detects the sections of ECG is proposed. The system is based on ECG stored in the form of files. The ECG can easily have a noise caused by an outside factor. The noise of ECG is easily caused by external factors. Through a band-pass filter, it can be removed. and then, to get this ECG without a noise, interval detection algorithm using R-peak is applied. The clean, intuitive interface will help the above functions to be used without any difficulties.

• Journal of Biomedical Engineering Research
• /
• v.18 no.1
• /
• pp.45-50
• /
• 1997

In this paper, we designed a Molter analysis system using the visual programming method It differs from the existing analysis system in that the various signal processing algorithms represented by icons were designed by GUI concept which provide unskilled user with easy and convenient analysis environment. In order to analyze ECG signal. we only select the icon representing an algorithm to be applied by mouse and arrange the selected icons upon the order to be jlrocessed on screen. As a result it provides a convenient usage and flexibility of analysis. Also, we can find the optimal algorithm for the ambulatory ECG analysis by comparing the several results obtained from the various analysis configuration.

• Proceedings of the KOSOMBE Conference
• /
• v.1993 no.05
• /
• pp.70-73
• /
• 1993

Design as well as Distortion analysis of signal conditioning filters is very useful for practical applications. Distortion analysis of digital filters for wave forms detection in ECG signals is presented. Several band pass and band reject filters are designed for the analysis. Computer simulations are performed to compare the distortions of the Butterworth type filters and linear phase optimal FIR filters which are widely used for ECG signal processing.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.11
• /
• pp.1141-1148
• /
• 2016

This paper proposed a heart attack predictive monitoring system using QRS pattern of ECG for wearable healthcare. It detects abnormal heart pattern with a ECG (X, Y) coordinate pattern DB on wearable monitoring smart watch. We showed the acute heart failure prevention system and method with a proposed scheme. Especially, It proved the method which can do first aid in gold time through abnormal heart analysis with a digital ECG(X, Y) pattern information when acute heart failure occurs.

• Journal of the Semiconductor & Display Technology
• /
• v.11 no.3
• /
• pp.57-61
• /
• 2012

In order to analyze the ECG, it is important to pinpoint the repeat interval of the ECG. In this paper, we present an efficient algorithm for finding the QRS complex on the ECG. We escaped from the conventional methods to go through multiple steps of preprocessing to make ECG easier to find the QRS complex. We selected the candidate peak that has the possibility of the QRS complex in original ECG, and used technique to find the QRS complex among the candidate peak. In this way, we could get similar efficiency to Pan & Tompkins Algorithm that is most representative QRS complex detection algorithm, just used fewer operations than Pan & Tompkins Algorithm.

• The Journal of the Convergence on Culture Technology
• /
• v.3 no.2
• /
• pp.55-59
• /
• 2017

We are confirmed to the transfer degree of physical signal with the communication code on the wireless communication system. The physical transfer system was consisted of such as ECG, PPG and Bluetooth part that received signal. Communication method was take the international standard level of IEEE802.15.1 forms, the frequency transition was needed the bandwidth of communication for transfer signal with the band-communication method. The program was expressed to receive with wireless communication condition that was consisted of such as the serial chart, processing and app inventor. Their signal was identified to transfer certainly the corrected signal. Therefore, signal processing for coding by the real-time graphing and using processing by a standard capacity of serial-chart graphing that will be possible to progress the improvement effectiveness of wireless communication system.

• Journal of the Institute of Convergence Signal Processing
• /
• v.5 no.3
• /
• pp.190-197
• /
• 2004

This paper presents automated prediction of transient ischemic episodes using neural networks(NN) based pattern matching method. The learning algorithm used to train the multilayer networks is a modified backpropagation algorithm. The algorithm updates parameters of nonlinear function in a neuron as well as connecting weights between neurons to improve learning speed. The performance of the method was evaluated using ECG signals of the MIT/BIH long-term database. Experimental results for 15 records(237 ischemic episodes) show that the average sensitivity and specificity of ischemic episode prediction are 85.71% and 71.11%, respectively. It is also found that the proposed method predicts an average of 45.53［sec］ ahead real ischemia. These results indicate that the NN approach as the pattern matching classifier can be a useful tool for the prediction of transient ischemic episodes.