• The Journal of the Korean life insurance medical association
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• v.27 no.2
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• pp.66-67
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• 2008

• The Journal of the Korean life insurance medical association
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• v.27 no.2
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• pp.61-65
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• 2008

보험 청약자의 심전도에서 볼 수 있는 widened QRS 군은 심실내전도장애, 조기흥분증후군, 좌심비대, 심실성 조율, 고칼륨혈증, 심실성 율동 등으로 인해 나타난다. 임상정보와 기본적인 심전도 판독기술로 감별진단을 할 수 있다. 심실내 전도장애는 전형적인 심전도 소견을 확인한 후 보다 광범위한 전도계 질환과(또는) 심근을 침범하는 질환을 동반하고 있음을 의미하는 심전도 소견이 있는지 자세히 검토하여 위험평가를 하도록 한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.3
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• pp.45-50
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• 2010

In this study, Discrete Wavelet Transform(DWT), which can detect more correct QRS complex, approximated through impulse response for reducing complexity to suit real-time system during exercise. Also, rhythm information, which is Arrythmia, Bradycardia and Tachycardia, is provided through continuously monitoring QRS complex. Proposed algorithm is evaluated by computer simulation of ECG signal that is measured during exercise.

• Proceedings of the KSME Conference
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• 2001.06b
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• pp.42-47
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• 2001

Analyzing the ECG signal, we can find heart disease, for example, arrhythmia and myocardial infarction, etc. Particularly, detecting arrhythmia is more important, because serious arrhythmia can take away the life from patients within ten minutes. In this paper, we would like to introduce the signal processing for ECG analysis and the device made for wireless communication of ECG data. In the signal processing, the wavelet transform decomposes the ECG signal into high and low frequency components using wavelet function. Recomposing the high frequency bands including QRS complex, we can detect QRS complex and eliminate the noise from the original ECG signal. To recognize the ECG signal pattern, we adopted the polynomial approximation partially and statistical method. The ECG signal is divided into small parts based on QRS complex, and then, each part is approximated to the polynomials. Comparing the approximated ECG pattern with the database, we can detect and classify the heart disease. The ECG detection device consists of amplifier, filters, A/D converter and RF module. After amplification and filtering, the ECG signal is fed through the A/D converter to be digitalized. The digital ECG data is transmitted to the personal computer through the RF transceiver module and serial port.