• The Science & Technology
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• v.30 no.9 s.340
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• pp.43-48
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• 1997

21세기 초, 기침환자를 맞은 의사는 먼저 환자의 목구멍에 면봉을 넣은 다음 면봉에 묻은 무수한 미생물의 유전자를 바이오칩으로 점검한다. 5~6분 뒤 바이오칩은 기침의 '범인'을 밝히고 이 미생물이 특정한 항생제에 저항하는 유전자를 갖고 있는가의 여부도 가려낸다. 그래서 의사는 환자 개개인에게 정확하게 들어맞는 약을 처방할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.3030-3036
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• 2012

The purpose of this study was to investigate the efficacy of mechanical in-exsufflator (MI-E) with on pulmonary rehabilitation in stroke patients with trachostomy tube. Methods： We studied ten stroke patients who had neither history nor radiologic finding of pulmonary disease. The pulmonary function was evaluated by measuring forced vital capacity (FVC), forced expiratory volume at one second (FEV1) and forced expiratory ratio (FEV1/FVC) The capacity of cough was evaluated by measuring manual assisted peak cough flow (MPCF). Data were analyzed statistically using repeated ANOVA test. Results：The results were as follows : 1) There are significant improvement of FVC and FEV1 according to training period (p<.05). 2) There are significant improvement of MPCF according to training period (p<.05). Conclusion：These results suggest that MI-E training can be used as an effective therapeutic modality for improvement of pulmonary function and capacity of cough in stroke patients with tracheostomy.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.57-78
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• 2023

COVID-19, which started in Wuhan, China in November 2019, spread beyond China in 2020 and spread worldwide in March 2020. It is important to prevent a highly contagious virus like COVID-19 in advance and to actively treat it when confirmed, but it is more important to identify the confirmed fact quickly and prevent its spread since it is a virus that spreads quickly. However, PCR test to check for infection is costly and time consuming, and self-kit test is also easy to access, but the cost of the kit is not easy to receive every time. Therefore, if it is possible to determine whether or not a person is positive for COVID-19 based on the sound of a cough so that anyone can use it easily, anyone can easily check whether or not they are confirmed at anytime, anywhere, and it can have great economic advantages. In this study, an experiment was conducted on a method to identify whether or not COVID-19 was confirmed based on a cough sound. Cough sound features were extracted through MFCC, Mel-Spectrogram, and spectral contrast. For the quality of cough sound, noisy data was deleted through SNR, and only the cough sound was extracted from the voice file through chunk. Since the objective is COVID-19 positive and negative classification, learning was performed through XGBoost, LightGBM, and FCNN algorithms, which are often used for classification, and the results were compared. Additionally, we conducted a comparative experiment on the performance of the model using multidimensional vectors obtained by converting cough sounds into both images and vectors. The experimental results showed that the LightGBM model utilizing features obtained by converting basic information about health status and cough sounds into multidimensional vectors through MFCC, Mel-Spectogram, Spectral contrast, and Spectrogram achieved the highest accuracy of 0.74.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.27 no.2
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• pp.87-90
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• 2016

Cough, the most common symptom, encountered in the outpatient clinic can be caused by various underlying diseases. It defines as chronic cough that the duration of cough is more than 8 weeks with a normal chest X-ray findings. The cause of cough can be found out for more than 90% through the appropriate diagnostic approach and Upper airway cough syndrome, Asthma and Gastroesophageal reflex disease are the most common causes of disease to non-smokers. Chronic cough can be due to not one reason but various reasons and achieve good results by a systematic approach to diagnosis and a concrete treatment on the basis of the sufficient understanding of the underlying disease.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.439-441
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• 2018

딥 러닝의 높은 성능으로 여러 분야에 사용되며 기침 탐지에서도 수행된다. 이 때 기침과 유사한 재채기, 큰 소리는 단일 데이터만으로는 구분하기에 한계가 있다. 본 논문에서는 기존의 오디오 데이터와 오디오 데이터를 인코딩 한 스펙트로그램 이미지 데이터를 함께 학습하는 멀티 모달 딥 러닝을 적용하는 방법을 사용한다.

• 보건세계
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• v.51 no.7 s.575
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• pp.40-43
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• 2004

• 보건세계
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• v.39 no.5 s.429
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• pp.20-21
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• 1992

• 보건세계
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• v.46 no.3 s.511
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• pp.8-11
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• 1999

• 보건세계
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• v.41 no.8 s.456
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• pp.8-11
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• 1994

• 건강소식
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• v.34 no.12
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• pp.26-27
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• 2010

노랗게 물든 은행나무 가로수길을 걸으면 가을의 정취에 빠지게 된다. 은행나무는 가로수로도 유명하지만 식품으로 또 약용으로도 다양한 쓰임새를 지니고 있다. 은행은 천식과 기침에 효과가 있으며, 은행잎 추출물로 만든 성인병 예방 및 치료제도 각광을 받고 있다. 하지만 은행에는 독성이 있기 때문에 너무 많이 먹으면 탈이 난다. 국민들의 사랑을 받고 있는 은행의 매력을 소개한다.