• Journal of Acupuncture Research
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• 제31권2호
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• pp.173-182
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• 2014

Objectives : There are few reports on treatment of thoracic outlet syndrome in the field of traditional Korean medicine. The aim of this study is to report a case of a 29-year-old male patient diagnosed with thoracic outlet syndrome, whose symptoms were relieved after 3-week integrated Korean medical treatment. Methods : A patient diagnosed with thoracic outlet syndrome was admitted into the Korean medicine hospital. The patient had left shoulder pain and left arm numbness. The pain was worse if it had become cold. The patient was treated using Sa-am acupuncture(Daejangseunggyeok), sweet bee venom acupuncture, herbal medicine and other treatment including physical therapy from September 7th to 27th of 2012. Improvement of the patient's symptoms was evaluated by verbal numerical rating scale(VNRS), skin surface temperature difference between the left and right symmetric part of digital infrared thermographic image(DITI). Results : After 3-weeks of treatment, VNRS decreased and skin surface temperature difference between the left and right symmetric part of DITI showed moderate improvement. Conclusions : The results suggest that integrated Korean medical treatment may affect to reduce the symptoms of thoracic outlet syndrome. Further study is needed to evaluate the importance of this report.

• 대한한방부인과학회지
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• 제26권4호
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• pp.94-106
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• 2013

Objectives: The purpose of this study is to find the effect of Far Infrared Radiation (FIR) about improvement of chief complaints and health state. Methods: For this study we evaluated thermographic images, heart rate variability (HRV), visual analogue scale (VAS) score of 34 patients with various diseases. Tests were done two times, before and after treatments and we compared the test results. We used the temperature difference between CV12 and CV4, both sides of PC8, LR3 for recognizing improvement of blood circulation. We analyzed the change of complexity, stability of autonomic nervous system (ANS) by HRV test. The patients were asked to fill out questionnaire about the severity of symptoms by VAS score. Analyses were undertaken using SPSS ver.12.0.1 and p-value of < 0.05 was considered significant. Results: Statistical analysis shows that Far Infrared Radiation (FIR) had significant efficiency in increasing surface temperature and reducing VAS pain scores. In heart rate variability (HRV) test, LF/HF ratio showed tends to improve. Conclusions: The application of an FIR to whole body appears to alleviate various complaints of patients.

• 대한한방내과학회지
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• 제25권3호
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• pp.559-568
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• 2004

Diagnosis of Raynaud's phenomenon is primarily based on clinical symptoms. Cold stress test(CST) done by DITI(Digital Infrared Thermographic Image) can be helpful for objective diagnosis. The cold stress test was performed three times by DITI; the first after 15 minutes of rest, the second right after one minute of soaking in $20^{\circ}C$ water, the third ten minutes after immersion. For a clear diagnosis, the temperature of the finger tips must be low, or the thermal difference between the metacarpophalangeal joints and the fingertips must be large. Also the evaluation of treatment depends on decrease of thermal gradient between the metacarpophalangeal joints and the finger tips after CST. In oriental medicine Raynaud's phenomenon can be categorized by coldness of the limbs or numbness. Numbness was diagnosed as depression of Ki and Chiljehyangbuhwan(Qizhixiangfuwan) was prescribed. Positive results were observed, not only in follow up CST, but also Visual Analogue Scale after treatment.

• 비파괴검사학회지
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• 제31권1호
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• pp.24-31
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• 2011

콘크리트 벽체 구조물에 매입된 철근의 정량적인 부식률을 측정하기 위하여 자연전위 측정법과 적외선 열화상법을 이용하였다. 벽체 실험체는 부식률(0, 1, 3, 5, 7%)과 피복 두께(30 mm, 40 mm), 그리고 철근 배근 간격에 변수를 주어 콘크리트 표면에서 저항 및 전류를 측정하고 온도를 측정하였으며, 콘크리트 표면 상태에서 얻은 결과를 분석하여 다음과 같은 결론을 얻었다. 전류밀도 분포는 부식률이 증가할수록 그값이 증가하였으며 피복 두께가 클수록 분포도가 넓게 나타났다. 적외선 촬영으로 얻어진 열화상 정보는 서로 다른 부식률과 피복 두께에서는 현저한 차이를 보였으며 주변 온도 및 철근 배근 간격에 대해서는 그 영향이 미비하게 나타났다. 제시된 부식 모델을 통해서 콘크리트 표면의 전류나 온도를 측정하여 내부에 매입되어 있는 철근의 부식률을 정량적으로 측정할 수 있는 것으로 나타났다.

• Journal of Acupuncture Research
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• 제30권3호
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• pp.165-171
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• 2013

Objectives : The purpose of this study is to investigate the effect of acupuncture treatment on a patient suffering from CRPS Type 1. Methods : A 30-year-old female patient suffering from CRPS Type 1 with symptoms of intense burning pain, joint stiffness, restricted mobility, rapid hair and nail growth, allodynia, hyperalgesia and coldness of the right leg was treated with acupuncture on six acupuncture points on the leg from 13 July to 18 July of 2011. Improvement of the patient's symptoms was evaluated by Numerical Rating Scale(NRS), Digital Infrared Thermographic Image(DITI). Results : After 6 days of treatment, NRS score decreased significantly and the DITI results showed moderate improvement in temperature. Conclusions : The results suggest that acupuncture may be an effective in reducing the symptoms of CRPS. Further study is needed to evaluate the significancy of this report.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.570-590
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• 2024

Breast cancer ranks among the most prevalent forms of malignancy and foremost cause of death by cancer worldwide. It is not preventable. Early and precise detection is the only remedy for lowering the rate of mortality and improving the probability of survival for victims. In contrast to present procedures, thermography aids in the early diagnosis of cancer and thereby saves lives. But the accuracy experiences detrimental impact by low sensitivity for small and deep tumours and the subjectivity by physicians in interpreting the images. Employing deep learning approaches for cancer detection can enhance the efficacy. This study explored the utilization of thermography in early identification of breast cancer with the use of a publicly released dataset known as the DMR-IR dataset. For this purpose, we employed a novel approach that entails the utilization of a pre-trained MobileNetV2 model and fine tuning it through transfer learning techniques. We created three models using MobileNetV2: one was a baseline transfer learning model with weights trained from ImageNet dataset, the second was a fine-tuned model with an adaptive learning rate, and the third utilized early stopping with callbacks during fine-tuning. The results showed that the proposed methods achieved average accuracy rates of 85.15%, 95.19%, and 98.69%, respectively, with various performance indicators such as precision, sensitivity and specificity also being investigated.