• 전기전자학회논문지
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• 제25권1호
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• pp.212-217
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• 2021

Premature contraction arrhythmia is the most common disease among arrhythmia and it may cause serious situations such as ventricular fibrillation and ventricular tachycardia. Most of arrhythmia clasification methods have been developed with the primary objective of the high detection performance without taking into account the computational complexity. Also, personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. Therefore it is necessary to design efficient method that classifies arrhythmia by analyzing the persons's physical condition and decreases computational cost by accurately detecting minimal feature point based on only QRS features. We propose method for personalized specific classification of premature contraction arrhythmia based on QRS features in smart healthcare environments. For this purpose, we detected R wave through the preprocessing method and SOM and selected abnormal signal sets.. Also, we developed algorithm to classify premature contraction arrhythmia using QRS pattern, RR interval, threshold for amplitude of R wave. The performance of R wave detection, Premature ventricular contraction classification is evaluated by using of MIT-BIH arrhythmia database that included over 30 PVC(Premature Ventricular Contraction) and PAC(Premature Atrial Contraction). The achieved scores indicate the average of 98.24% in R wave detection and the rate of 97.31% in Premature ventricular contraction classification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.988-1001
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• 2018

Arrhythmia has recently emerged as one of the major causes of death in Koreans. Premature Ventricular Contraction (PVC) is the most common arrhythmia that can be found in clinical practice, and it may be a precursor to dangerous arrhythmias, such as paroxysmal insomnia, ventricular fibrillation, and coronary artery disease. Therefore, we need for a method that can detect an abnormal heart beat and diagnose arrhythmia early. We extracted the features corresponding to the QRS pattern from the subject's ECG signal and classify the premature ventricular contraction waveform using the features. We modified the weighting and bias values based on the error back-propagation algorithm through learning data. We classify the normal signal and the premature ventricular contraction signal through the modified weights and deflection values. MIT-BIH arrhythmia data sets were used for performance tests. We used RR interval, QS interval, QR amplitude and RS amplitude features. And the hidden layer with two nodes is composed of two layers to form a total three layers (input layer 0, output layer 3).

• Archives of Plastic Surgery
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• 제39권5호
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• pp.463-468
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• 2012

Background In the extremities of premature infants, the skin and subcutaneous tissue are very pliable due to immaturity and have a greater degree of skin laxity and mobility. Thus, we can expect wounds to heal rapidly by wound contraction. This study investigates wound healing of full-thickness defects in premature infant extremities. Methods The study consisted of 13 premature infants who had a total of 14 cases of full-thickness skin defects of the extremities due to extravasation after total parenteral nutrition. The wound was managed with intensive moist dressings with antibiotic and anti-inflammatory agents. After wound closure, moisturization and mild compression were performed. Results Most of the full-thickness defects in the premature infants were closed by wound contraction without granulation tissue formation on the wound bed. The defects resulted in 3 pinpoint scars, 9 linear scars, and 2 round hypertrophic scars. The wounds with less granulation tissue were healed by contraction and resulted in linear scars parallel to the relaxed skin tension line. The wounds with more granulation tissue resulted in round scars. There was mild contracture without functional abnormality in 3 cases with a defect over two thirds of the longitudinal length of the dorsum of the hand or foot. The patients' parents were satisfied with the outcomes in 12 of 14 cases. Conclusions Full-thickness skin defects in premature infants typically heal by wound contraction with minimal granulation tissue and scar formation probably due to excellent skin mobility.

• 디지털산업정보학회논문지
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• 제17권1호
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• pp.7-14
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• 2021

With the increased attention about healthcare and management of heart diseases, smart healthcare services and related devices have been actively developed recently. R wave is the largest representative signal among ECG signals. R wave detection is very important because it detects QRS pattern and classifies arrhythmia. Several R wave detection algorithms have been proposed with different features, but the remaining problem is their implementation in low-cost portable platforms for real-time applications. In this paper, we propose R wave detection based on optimal threshold and arrhythmia classification through QRS pattern considering complexity in smart healthcare environments. For this purpose, we detected R wave from noise-free ECG signal through the preprocessing method. Also, we classify premature ventricular contraction arrhythmia in realtime through QRS pattern. The performance of R wave detection and premature ventricular contraction arrhythmia classification is evaluated by using 9 record of MIT-BIH arrhythmia database that included over 30 premature ventricular contraction. The achieved scores indicate the average of 98.72% in R wave detection and the rate of 94.28% in PVC classification.

• 한국정보통신학회논문지
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• 제20권2호
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• pp.437-444
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• 2016

일반적인 부정맥 분류 방법의 경우 심방 박동 수와 관련한 PP간격, P모양의 다양성과 같은 조건을 이용하는데, 잡음으로 인해 정확한 P파의 검출이 어렵기 때문에 잡음의 영향을 비교적 적게 받는 R파를 이용하는 것이 유리하다. 따라서 본 연구에서는 R파 중심의 ECG(electrocardiography) 패턴 분석과 템플릿 문턱치를 도입하여 조기수축 부정맥 분류 방법을 제안한다. 이를 위해 형태 연산을 통한 전 처리 과정과 차감 동작 기법을 통해 R파를 검출하였다. 이후 RR 간격의 평균 가중치와 변화율을 이용하여 먼저 조기수축 파형의 패턴을 분류하고, R파의 진폭에 대한 템플릿 문턱값을 통해 조기심실수축과 조기심방수축을 분류하는 알고리즘을 개발하였다. 제안한 방법의 우수성을 입증하기 위해 조기 심방과 심실수축이 30개 이상 포함된 MIT-BIH 6개의 레코드를 대상으로 한 R파의 평균 검출율은 99.77%의 성능을 나타내었고, 조기심실수축과 심방수축 부정맥은 각각 94.91%와 95.76%의 평균 분류율을 나타내었다.

• 한국컴퓨터정보학회논문지
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• 제22권5호
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).

• 한국정보통신학회논문지
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• 제22권2호
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• pp.233-242
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• 2018

조기심실수축(Premature Ventricular Contraction) 분류를 위한 기존 연구들은 분류의 정확성을 높이기 위해 신경망, 퍼지 이론, Support Vector Machine 등과 같은 비선형 방법이 주로 사용되어 왔다. 이러한 대부분의 방법들은 데이터의 가공 및 연산이 복잡하다. 이러한 문제점을 극복하기 위해서 최적의 R파를 검출하고 이를 통해 R피크 기반의 특징점만을 정확하게 검출함으로써 최소한의 연산량으로 PVC를 분류할 수 있는 알고리즘이 필요하다. 따라서 본 연구에서는 전처리를 통해 잡음이 제거된 심전도 신호에서 최적 문턱치에 따른 R파를 검출하고, RR간격과 R피크 패턴을 추출한다. 이후 RR간격과 R피크 패턴에 따라 PVC를 분류하였다. 제안한 방법의 우수성을 입증하기 위해 PVC가 30개 이상 포함된 MIT-BIH 9개의 레코드를 대상으로 한 R파의 평균 검출율은 99.02%의 성능을 나타내었으며, PVC 부정맥은 각각 94.85%의 평균 분류율을 나타내었다.

• 한국정보전자통신기술학회논문지
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• 제2권2호
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• pp.15-21
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• 2009

심실조기수축 (PVC: Premature Ventricular Contraction)은 성인에게서 가장 흔하게 발생되는 심장 부정맥 증상 중의 하나이다. 심실조기수축 부정맥이 자주 발현되는 사람의 경우 관상 동맥 질환, 고혈압 등의 심혈관계 질환이 진행되고 있을 가능성이 많고, 심실빈맥이나 심실세동으로 전이되는 경우에는 심정지 등을 유발하여 사망에 이르기 때문에 지속적으로 관찰이 필요한 증상이다. 따라서 본 연구에서는 심전도 신호의 R-R 간격 정보를 이용하여 심실조기수축 부정맥 증상을 실시간으로 검출할 수 있는 알고리즘을 구현하였으며, 또한 심전도 신호의 R-R 간격 정보와 R-peak의 진위성 여부를 판단하여 심실조기수축 및 심실조기수축 파형이 다발적으로 발생되는 PVC-RUNs를 효율적으로 검출할 수 있는 부정맥 진단 알고리즘을 제안하고자 하였다.

• Biomolecules & Therapeutics
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• 제9권1호
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• pp.51-54
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• 2001

Bufonis Venenum is a toad venom and its main components are bufadienolides, namely resibufogenin, bufalin and cinobufagin. The desensitizing effect of Bufonis Venenum is useful for the treatment of the premature ejaculation in Chinese medicine. But, minor components of Bufonis Venenum cause problems such as topical burring, pain, and erectile dysfunction. To clarify and eliminate the components responsible for these side effects, we prepared two extracts of Bufonis Venenum with either 70% ethanol or ethylacetate and tested their pharmacological effects. The extract of Bufonis Venenum with 70% ethanol produced pain response in rat hind paw, and exhibited contraction of rabbit corpus cavernosal muscle in vitro. On the other hand, the ethylacetate extract did not cause pain and smooth muscle contraction. The desensitizing effect of the ethylacetate extract was similar to that of the 70% ethanol extract. In conclusion, these results show that the extract of Bufonis Venenum with ethylacetate does not have the components causing side effects and deserve further study for therapeutic potential in premature ejaculation in men.

• 대한한방내과학회지
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• 제37권5호
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• pp.796-805
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• 2016

Objective: To examine the effects of Gagam-Samryoungbeakchul-san (加減 蔘苓白朮散) on a premature ventricular contraction patient with dizziness and chest discomfort. Methods: A patient diagnosed with premature ventricular contraction was treated with herbal medicine and acupuncture. The period of admission was 15 days, and we measured the electrocardiogram before and after treatment. We evaluated the improvement in symptoms by Global Assessment (G/A), and checked the pulse rate by oximetry three times a day. We estimated the efficacy of treatment by analyzing the relationship between the average pulse rate and symptoms. Results: After Gagam-Samryoungbeakchul-san treatment and acupuncture therapy, the average pulse rate increased from 36.5 to 58. This increase in average pulse rate was accompanied by a reduction in dizziness of 40%, chest discomfort of 30%, and frequency of bigeminy in the electrocardiogram. Conclusions: This case report confirmed the effectiveness of Gagam-Samryoungbeakchul-san on premature ventricular contraction, but further study is warranted.