1.Clinical Study on the Hypoplastic Right Heart Syndrome.
Sejung SOHN ; Soon Ung KANG ; Chung Il NOH ; Jung Yun CHOI ; Yong Soo YUN ; Chang Yee HONG
Journal of the Korean Pediatric Society 1987;30(3):281-290
No abstract available.
Heart*
2.Open heart surgery:clinical analysis of 100cases.
Sang Ho RHIE ; Seong Kyu CHUNG ; Sung Ho KIM ; Jun Young CHOI ; Young Kyun CHUNG ; Yoon CHOI ; Heon Geun LEE ; Shee Young HAM
The Korean Journal of Thoracic and Cardiovascular Surgery 1993;26(5):360-364
No abstract available.
Heart*
3.Digital heart for life
The Korean Journal of Physiology and Pharmacology 2019;23(5):291-293
No abstract available.
Heart
4.Experience with Rastelli procedure in the repair of congenital heart diseases.
Hee Jong BAIK ; Jeong Sang LEE ; Jeong Ryul LEE ; Yong Jin KIM ; Joon Ryang RHO ; Kyung Phill SUH
The Korean Journal of Thoracic and Cardiovascular Surgery 1992;25(11):1327-1336
No abstract available.
Heart Diseases*
;
Heart*
5.Congenital Heart Disease After Childhood: Experience of Grown up Congenital Heart Clinic(GUCH Clinic)'.
Korean Circulation Journal 2001;31(6):537-541
No abstract available.
Heart Defects, Congenital*
;
Heart*
6.Beta blocker therapy in heart failure.
Korean Journal of Medicine 1998;55(4):584-589
No abstract available.
Heart Failure*
;
Heart*
7.Clinical study for surgical treatment of congenital heart diseases.
Tae Bong YANG ; Jae Do YUN ; Tae Geun LIM ; Jong Beom CHOI ; Son Ho CHOI
The Korean Journal of Thoracic and Cardiovascular Surgery 1991;24(4):390-396
No abstract available.
Heart Diseases*
;
Heart*
8.Classification of Continuous Heart Sound Signals Using the Ergodic Hidden Markov Model.
Journal of Korean Society of Medical Informatics 2007;13(1):35-41
Recently, hidden Markov models (HMMs) have been found to be very effective in classifying heart sound signals. For the classification based on the HMM, the continuous cyclic heart sound signal needs to be manually segmented to obtain isolated cycles of the signal. However, the manual segmentation will be practically inadequate in real environments. Although, there have been some research efforts for the automatic segmentation, the segmentation errors seem to be inevitable and will result in performance degradation in the classification. To solve the problem of the segmentation, we propose to use the ergodic HMM for the classification of the continuous heart sound signal. In the classification experiments, the proposed method performed successfully with an accuracy of about 99(%) requiring no segmentation information.
Classification*
;
Heart Sounds*
;
Heart*
9.A Comparative Analysis of Heart Rate Variability of Electrocardiogram and Pulse-wave Using Time Series.
Nag Hwan KIM ; Eun Sil LEE ; Hong Ki MIN ; Eung Huk LEE ; Seung Hong HONG
Journal of Korean Society of Medical Informatics 2000;6(4):165-173
The estimation of power spectrum based on the heart rate variability is studied to evaluate the variation of the tension and physiological workloads by the activity of the autonomic system as evaluation parameter. In this paper, we made an attempt to apply the pulse wave to estimate the variation of physiological condition quantitatively instead of the evaluation of power spectrum of HRV through electrocardiogram in the past by comparing and analyzing time series data for the similarity of the heart rate of electrocardiogram and pulse wave. For the similarity of two signals, we can get the likeness by calculating an average, a variance, a correlation coefficient, and the power peak and the shape of power spectral density from the time series data. In the experimental result, it is shown that same subject have a similar variation of time series and power spectrum density for electrocardiogram and pulse wave. As a result, it is expected to estimate a change of the tension and physical condition quantitatively through the evaluation of a power ~pectrum of HRV by Pulse Wave in the future.
Electrocardiography*
;
Heart Rate*
;
Heart*
10.Waon Therapy, Can It Be New Therapeutic Modality in Heart Failure Patients?.
Journal of Cardiovascular Ultrasound 2010;18(2):43-44
No abstract available.
Heart
;
Heart Failure
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