• 제목/요약/키워드: classification skin

검색결과 233건 처리시간 0.032초

고령자 여성의 체질건강수준에 따른 피부 탄성 및 주름 특성 연구 (Study of Skin Elasticity and Wrinkle Properties of Elderly Female according to Sasang Constitution-based Health State)

  • 김영민;정창진;구본초;전영주;김근호;김종열;김재욱
    • 한국한의학연구원논문집
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    • 제18권3호
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    • pp.119-126
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    • 2012
  • 1. Objectives Sasang constitutional medicine is unique in Korean traditional medicine. It diagnoses and treats patients based on his/her Sasang constitution (SC). Skin properties have been used as an effective diagnostic component in the classification of SC types in clinics. In this paper, we investigated the SC-based health relevance of skin elasticity and wrinkle properties. 2. Methods The skin elasticity and wrinkle of forearm and dorsal hand were measured in 299 elderly female subjects. To determine the subject's Sasang constitution, we adopted the classification results from a newly developed SC diagnostic tool. The health states of the subjects were scored by two Korean traditional medical doctors, by whom each subject was categorized either into the healthy state or the unhealthy state. 3. Results As a result, the elasticity hysteresis of forearm (E_HYS), the visco-elasticity (VE_MEAN), and the wrinkle frequency energy of backhand (W_HAND) showed significant differences between Taeum-in group and Soeum-in group. In case of the Soeum-in on unhealthy state, VE_MEAN was decreased significantly (p<.05). W_HAND and W_ARM_H of the healthy Taeum-in were less than those of the unhealthy Taem-in. 4. Conclusions In this study we showed that, for an elderly female population, skin elasticity and viscosity were significantly different not only between each SC type but also between healthy group and unhealthy group in each constitution. In particular, Soeum-in subjects were inferred to be superior in retaining skin softness when they were healthy, and Taeum-in subjects were easy to lose their firmness of skin surface when they became unhealthy.

가정간호에서 사용된 간호진단과 간호중재 분류 (Categorization of Nursing Diagnosis and Nursing Interventions Used in Home Care)

  • 서미혜;허혜경
    • 가정간호학회지
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    • 제5권
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    • pp.47-60
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    • 1998
  • This study was done to identify basic information in classifying nursing diagnoses and nursing interventions needed for the further development of computerized nursing care plans. Data were collected by reviewing charts of 123 home care clients who had active disease, for whom at least one nursing diagnosis was on the chart, and who had been discharged. Data included demographics, medical orders, nursing diagnoses and nursing interventions. The results of the study, which found the most frequent medical diagnoses to be cancer (40.7%) and brain injury (26.8%), showed that 'Impaired Skin Integrity'(18.3%), 'Risk for Infection'(15.0%), 'Altered Nutrition, Less than Body Requirements'(13.8%), and 'Risk for Impaired Skin Integ rity'(9.9%) were the most frequent nursing diagnoses. 'Pressure Ulcer Care'(28.4%) was the most frequent intervention for 'Impaired Skin Integrity', 'Infection Protection'(16.0%) for 'Risk of Infection', 'Nutrition Counseling'(26.8%) for 'Altered Nutrition' and 'Positioning'(22.0%) for 'Risk for Skin Integrity Impairment', Comparison of interventions with the Nursing Intervention Classification(NIC) showed that the most frequent interventions were in the domain 'Basic Physiological' (33.94%), followed by 'Behavioral'(27.8%), and 'Complex Physiological' (22.6%). Interventions related to teaching family to give care at home could not be classified in the NIC scheme. Examination of the frequency of NIC interventions showed that for the domain 'Activity & Exercise Management', 75% of the interventions were used, but for seven domains, none were used. For the domain 'Immobility Management', 93% of the times that an intervention was used, it was 'Positioning', for the domain 'Tissue Perfusion Management', 'IV Therapy' (59.1%) and for the domain 'Elimination Management', 'Tube Care: Urinary'(54.0%). The nursing diagnoses 'Altered Urinary Elimination' and 'Im paired Physical Mobility' were both used with these clients, but neither 'Fluid Volume Deficit' nor 'Risk of Fluid Volume Deficit' were used rather 'IV Therapy' was an intervention for 'Altered Nutrition, Less than Body Requirements', A comparison of clients with cancer and those with brain injury showed that interventions for the nursing diagnosis 'Impaired Skin Integrity' were more frequent for the clients with cancer, interventions for 'Risk of Infection' were similar for the two groups but for clients with cancer there were more interventions for' Altered Nutrition'. Examination of the nursing diagnoses leading to the intervention 'Positioning' showed that for both groups, it was either 'Impaired Skin Integrity' or 'Risk for Skin Integrity Impairment'. This study identified a need for further refinement in the classification of nursing interventions to include those unique to home care and that for the purposes of computerization identification of the nursing activities to be included in each intervention needs to be done.

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체질에 따른 고령자 여성의 피부 탄성 및 발한 특성 연구 (Study of Skin Elasticity and Perspiration of Elderly Female according to Sasang Constitution (SC))

  • 정창진;구본초;이재철;김재욱;전영주;김근호;김종열;김영민
    • 사상체질의학회지
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    • 제24권3호
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    • pp.60-68
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    • 2012
  • Objectives Sasang Constitution (SC) is determined by various physical and psychological attributes. Recently, skin properties have been used effectively to describe SC types in clinics. In this paper, we investigated the constitution dependence of skin elasticity and skin perspiration by using quantitative measurement devices. Methods The skin elasticity of forearm and the skin perspiration of forehead and philtrum were measured in 223 elderly female subjects. To determine the subject's constitution, we adopted the classification results from a newly developed diagnostic tool. For the clarity of constitution, we excluded low-scored subjects in their SC classification. Results & Conclusions As a result, the elasticity hysteresis of forearm (EHFa) of Taeum-in group was significantly less than the EHFa of Soeum-in group. Soeum-in group has high perspiration difference between philtrum and forehead (Diff.PhFh) compared to Taeum-in group in a significance level of .05. Taeum-in and Soeum-in group were significantly classified by EHFa and Diff.PhFh using a Support Vector Machine.

Performance of Human Skin Detection in Images According to Color Spaces

  • Kim, Jun-Yup;Do, Yong-Tae
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.153-156
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    • 2005
  • Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

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합성곱 신경망 및 영상처리 기법을 활용한 피부 모공 등급 예측 시스템 (A Prediction System of Skin Pore Labeling Using CNN and Image Processing)

  • 이태희;황우성;최명렬
    • 전기전자학회논문지
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    • 제26권4호
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    • pp.647-652
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    • 2022
  • 본 논문은 사용자들에 의해 촬영된 피부이미지를 가공하여 데이터 세트를 구축하고, 제안한 영상처리 기법에 의해 모공 특징이미지를 생성하여, CNN(Convolution Neural Network) 모델 기반의 모공 상태 등급 예측 시스템을 구현한다. 본 논문에서 활용하는 피부이미지 데이터 세트는, 피부미용 전문가의 육안 분류 기준에 근거하여, 모공 특징에 대한 등급을 라벨링 하였다. 제안한 영상처리 기법을 적용하여 피부이미지로 부터 모공 특징 이미지를 생성하고, 모공 특징 등급을 예측하는 CNN 모델의 학습을 진행하였다. 제안한 CNN 모델에 의한 모공 특징은 전문가의 육안 분류 결과와 유사한 예측 결과를 얻었으며, 비교 모델(Resnet-50)에 의한 결과보다 적은 학습시간과 높은 예측결과를 얻었다. 본 논문의 본론에서는 제안한 영상처리 기법과 CNN 적용의 결과에 대해 서술하며, 결론에서는 제안한 방법에 대한 결과와 향후 연구방안에 대해 서술한다.

Discovering Relationships between Skin Type and Life Style Using Data Mining Techniques: A Case Study of Korea

  • Kim, Taeheung;Ha, Jihyun;Lee, Jong-Seok;Oh, Younhak;Cho, Yong Ju
    • Industrial Engineering and Management Systems
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    • 제15권1호
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    • pp.110-121
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    • 2016
  • With the growing interest in skincare and maintenance, there are increasing numbers of studies on the classification of skin type and the factors influencing each type. This study presents a novel methodology by using data mining, for the determination of the relationships between skin type, lifestyle, and patterns of cosmetic utilization. Eight skin-specific factors, which are moisture, sebum in U-zone (both cheeks), sebum in T-zone (forehead, nose, and chin), pore, melanin, wrinkle, acne, hemoglobin, were measured in 1,246 subjects living in South Korea, in conjunction with a questionnaire survey analyzing their lifestyles and pattern of cosmetic utilization. Using various multivariate statistical methods and data mining techniques, we classified the skin types based on the skin-specific values, determined the relationship between skin type and lifestyle, and accordingly sorted the subjects into clusters. Logistic regression analysis revealed gender-related differences in the skin; therefore, separate analyses were performed for males and females. Using the Gaussian Mixture Modeling (GMM) technique, we classified the subjects based on skin type (two male and four female). Using the ANOVA and decision tree techniques, we attempted to characterize the relationship between each skin type and the lifestyles of the subjects. Menstruation, eating habits, stress, and smoking were identified as the major factors affecting the skin.

적응적 피부색 검출을 이용한 포르노그래피 영상 분류 방법 (Classification of Pornography Images Using Adaptive Skin Detection)

  • 윤종원;박찬우;문영식
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.971-972
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    • 2008
  • In this paper, we present a novel method for classifying pornography images using adaptive skin detection. From an input image, we detect initial skin regions and construct an adaptive skin probability density model using color information for the detected skin regions. From the skin probability density model, we extract feature vectors and train the images using Support Vector Machine to classify pornography images.

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최소 분류 오차 기법과 멀티 모달 시스템을 이용한 감정 인식 알고리즘 (Emotion Recognition Algorithm Based on Minimum Classification Error incorporating Multi-modal System)

  • 이계환;장준혁
    • 대한전자공학회논문지SP
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    • 제46권4호
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    • pp.76-81
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    • 2009
  • 본 논문에서는 최소 분류 오차 기법 (Minimum Classification Error, MCE)에 기반한 감정 인식을 위한 알고리즘 멀티 모달(Multi-modal) 시스템을 기반으로 제안한다. 사람의 음성 신호로부터 추출한 특징벡터와 장착한 바디센서로부터 구한 피부의 전기반응도 (Galvanic Skin Response, GSR)를 기반으로 특징벡터를 구성하여 이를 Gaussian Mixture Model (GMM)으로 구성하고 이를 기반으로 구해지는 로그 기반의 우도 (Likelihood)를 사용한다. 특히, 변별적 가중치 학습을 사용하여 최적화된 가중치를 특징벡터에 인가하여 주요 감정을 식별하는 데 이용하여 성능향상을 도모한다. 실험결과 제안된 감정 인식이 기존의 방법보다 우수한 성능을 보인 것을 알 수 있었다.

피부색 영역의 분할을 통한 후보 검출과 부분 얼굴 분류기에 기반을 둔 얼굴 검출 시스템 (Face Detection System Based on Candidate Extraction through Segmentation of Skin Area and Partial Face Classifier)

  • 김성훈;이현수
    • 전자공학회논문지CI
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    • 제47권2호
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    • pp.11-20
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    • 2010
  • 본 논문에서는 피부색 정보를 이용한 얼굴 후보 검출 방법과 얼굴의 구조적 특징을 이용한 얼굴 확인 방법으로 구성된 얼굴 검출 시스템을 제안한다. 먼저 제안하는 얼굴 후보 검출 방법은 피부색 영역과 피부색의 주변 영역에 대한 이미지 분할과 병합 알고리듬을 이용한다. 이미지 분할과 병합 알고리듬의 적용은 복잡한 이미지에 존재하는 다양한 얼굴들을 후보로 검출할 수 있다. 그리고 제안하는 얼굴 확인 방법은 얼굴을 지역적인 특징에 따라 분류 가능한 부분 얼굴 분류기를 사용하여 얼굴의 구조적 특징을 판단하고, 얼굴과 비-얼굴을 구별한다. 부분 얼굴 분류기는 학습 과정에서 얼굴 이미지만을 사용하고, 비-얼굴 이미지는 고려하지 않기 때문에 적은 수의 훈련 이미지를 사용한다. 실험 결과 제안한 얼굴 후보 검출 방법은 기존의 방법보다 평균 9.55% 많은 얼굴을 후보로 검출하였다. 그리고 얼굴/비-얼굴 분류 실험에서 비-얼굴에 대한 분류율이 99%일 때 기존의 분류기보다 평균 4.97% 높은 얼굴 분류율을 달성 하였다.

동양인에서의 노인성 하안검의 유형별 분류 및 수술법의 선택 (The Classification of Aging Lower Eyelid and Selection of the Operation Options in Asians)

  • 권순근;박준;양원용;유영천;강상윤
    • Archives of Plastic Surgery
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    • 제35권5호
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    • pp.581-588
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    • 2008
  • Purpose: It is generally accepted that anatomical structures of the soft tissue in Asian faces are quite different from those in Caucasian. It is presumed that these differences are due to collagen rich thick dermis and durable superficial musculo-apponeurotic system (SMAS) in Asian. We classified the aging lower eyelids and reviewed the operative procedures according to the types of aging lower eyelids in Asian. Methods: We compared preoperative and postoperative photos of 117 patients over 30 years of age, who underwent lower blepharoplasty at the Kyunghee Medical Center from January 2001 to April 2006. We classified the patients based on the degree of skin laxity, presence of nasojugal groove and malar bag, the extent of aging process. We also reviewed the operative procedures according to each type of classification. Results: We classified our patients into four types as following. Type I patients showed minimal skin-muscle excess confined to lower eyelids regardless of the facial line. For these patients, we performed only transcutaneous or transconjunctival blepharoplasty. In type II patients, nasojugal grooves were shown and skin- muscle laxity was limited to the medial side of imaginary vertical line at lateral margin of pupil. In these cases, we performed free fat graft or fat repositioning on nasojugal groove or fat removal and septal duplication confined to medial side. Type III patients displayed more advanced medial bulging and remarkable laxity over the lateral side, the same operation methods as those of type II were applied at the lateral side of the line. Type IV patients demonstrated extensive midfacial aging changes including malar bags and underwent superficial subciliary cheek lift. Conclusion: The lower eyelid aging of Asian is different from those of Caucasian. We think that our classification is useful in selection of appropriate operative procedure to address specific problems for Asian patients.