• Journal of Digital Convergence
• /
• v.13 no.7
• /
• pp.249-258
• /
• 2015

This study was conducted to determine the affecting factors among patients with drinking behavior of liver cirrhosis. Data were collected by questionnaire from 157 patients who were diagnosed with liver cirrhosis at a tertiary hospital located in D-city. Measurements included patients' demographic characteristics, clinical characteristics, disease-related of symptom experience, emotional-factors of anxiety-depression and social-factor of social support. Data were analyzed using t-test, and logistic regression analyses. The incidence rate of drinking behavior was 31.8%. Multivariate analysis revealed that smoking(yes), men, symptom experience, social support and anxiety were more likely to report high level of drinking behavior. Future research should consider managing drinking behavior as an essential component of comprehensive care for patients with liver cirrhosis.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.2
• /
• pp.1-6
• /
• 2022

Lifelog is a digital record of an individual collected from various digital sensors, and includes activity amount, sleep information, weight change, body mass, muscle mass, fat mass, etc. Recently, as wearable devices have become common, a lot of high-quality lifelog data is being produced. Lifelog data shows the state of an individual's body, and can be used not only for individual health care, but also for causes and treatment of diseases. However, at present, AI/ML-based correlation analysis and personalization are not reflected. It is only at the level of presenting simple records or fragmentary statistics. Therefore, in this paper, the correlation/relationship between lifelog data and disease, and AI/ML technology inside lifelog data are examined, and furthermore, a lifelog data analysis process based on AI/ML is proposed. The analysis process is demonstrated with the data collected in the actual Galaxy Watch. Finally, we propose a future convergence service roadmap including lifelog data, diet, health information, and disease information.

• Annual Conference of KIPS
• /
• 2024.05a
• /
• pp.707-708
• /
• 2024

최근 디지털 헬스케어 기술과 서비스가 널리 활용되면서 의료 인공지능 성능 향상에 대한 관심이 높아지고 있다. 그러나 양성 데이터 대비 질병 데이터가 희소하여 학습 과정에서 과적합이 발생하거나 질병 예측 모델의 성능이 떨어진다는 한계가 있다. 본 논문에서는 데이터가 균질하지 않은 상황에서 생성형 인공지능 모델을 사용하여 합성 데이터를 생성하는 방안을 제안한다. 실험 결과에 따르면, 종래 방법 대비 제안한 방법의 정확도가 약 5.8% 향상되었고, 재현율이 약 21% 개선되었다.

• Annual Conference of KIPS
• /
• 2024.10a
• /
• pp.940-941
• /
• 2024

4족 보행 동물 중 말(馬)은 다리 관절 부위에 부상과 질병이 잦은 편이나, 적시에 질병을 발견하지 못해 질병의 악화로 발생하는 문제점이 있다. 본 논문은 이를 극복하기 위한 기술 개발에 필요한 동물의 보행 이상 상태 진단을 위한 AI 학습용 데이터 구축하는 구체적인 방법론을 제안한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2012.11a
• /
• pp.252-253
• /
• 2012

최근 들어 정신적/신체적 질병을 치료하기 위해 음악을 많이 사용한다. 음악 치료의 수요가 늘어남에 따라 HCI, BCI, Music Therapy 등과 같은 음악의 성질과 생체신호간의 관계, 심리상태 변화 등에 관한 연구들이 많이 이뤄지고 있다. 또한 압축기술의 발달로 인하여 디지털 음원을 손쉽게 듣고 다닐 수 있으며, 생체 신호처리 이론, 생체 신호처리 장비 등이 발달함에 따라 디지털 음원을 이용하여 음악 치료 연구를 할 수 있게 되었다. 하지만 이러한 디지털 음원이 음악치료 측면에서는 효과가 크지 않을 뿐만 아니라 오히려 악영향을 미친다는 내용이 방송/신문을 통해 기사화 되고 있다. 따라서 본 논문에서는 동일한 음원의 아날로그/디지털 음악으로 청감테스트를 진행하고, 생체신호(혈압, 심박수, 뇌파)를 측정하여 차이점을 비교/분석한다.

• Journal of Digital Convergence
• /
• v.16 no.8
• /
• pp.243-252
• /
• 2018

The purpose of this study was to examine relationships among disease-related characteristics, symptom stress, quality of life in women with endometriosis, and then to identify predictors of quality of life in them. The self-reported questionnaires were administered to 99 women in one general hospital. As results of multiple regression analysis, the factors affecting quality of life in women with endometriosis were sick leave (${\beta}=-.27$, p=.000) and symptom stress (${\beta}=.59$, p=.000), explained women's quality of life with 57.0% (F=11.39, p<.001). Based on the findings, there is a need to develop a self-care program for chronic pain and a nursing intervention for enhancing a quality of life in women with endometriosis.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.6
• /
• pp.237-243
• /
• 2014

Heart sounds of patient's chest could be heard using an analog stethoscope. However, auscultation of a heart sound can be diagnosed differently by each doctor hearing it. Therefore the condition of each patient is determined by the subjective comments based on the hearing ability of a physician who has years of experience. In this paper, through analysis of heart sound and heart rate of the patient's condition, we will define minutely how to diagnose the condition of patient using a wireless digital stethoscope diagnostic system. And it is possible to perform an objective medical diagnosis by applying LCR (Level Crossing Rate) and to show the relationship of a disease using this system.

• Journal of Digital Convergence
• /
• v.10 no.6
• /
• pp.303-310
• /
• 2012

In order to analyze factors that support effective health care delivery system, this study aimed to research general public's perception on the functions of medical institutions(based on the levels of treatment: primary care, secondary care, and tertiary care), choices of medical institution when contracted with an unfamiliar disease, and recognition of diseases based on their severities. We collected data using self-administered survey from 400 general public living in Seoul, S. Korea from April 25 to May 18, 2011. The analysis was conducted using frequency analysis, chi-square test, and t-test; we analyzed the data to see if there are differences based on gender, age, and level of education. The result of both recognition of functional differences of medical institutions and selection of medical institutions when contracted with unfamiliar diseases showed that there were no significant differences based on the gender; however there were significant differences when considering the age and education. Looking at the result of the knowledge of the disease classification based on its severity, there were significant differences in age, gender, and education. In order to provide sustainable and effective health care delivery system, utilization of primary care as well as education and promotion regarding the functional differences of medical institutions and classification of disease based on its severity need to be encouraged.

• Journal of Digital Convergence
• /
• v.15 no.10
• /
• pp.281-291
• /
• 2017

This purpose of study was to identify variables predicting basic psychological need in hemodialysis patients. The participants were 134 patients from two major general hospitals and two dialysis center located in J city. Data were collected using self-report questionnaires and physiological index. Data analysis was done by using SPSS WIN 18.0 program for one-way ANOVA, independent t-test, Pearson correlation coefficients, and multiple regression. This study showed a negative correlation between basic psychological need and uncertainty(r=--.464, p<.001), depression(r=-.422, p<.001). In addition, relationships and physiological index were Positively correlated. The uncertainty(${\beta}=-.345$), depression(${\beta}=-.279$), physiological index(${\beta}=-.117$) have a 29% explanatory power for the basic psychological need in hemodialysis patients. Physiological index, uncertainty and depression in turn influenced the basic psychological needs of hemodialysis patients. It is necessary to develop nursing strategies and programs to reduce disease uncertainty and depression in order to increase self-deterministic health behavior through autonomy, competence and relationship satisfaction.

• 한국벤처창업학회:학술대회논문집
• /
• 2022.11a
• /
• pp.95-104
• /
• 2022

근래 지구온난화에 따른 자연재해의 증가와 장기 코로나19의 전염으로 사회적 비대면 필요성이 증대되면서 온라인을 통한 건강관리 및 의료 진단·처방 등 디지털 헬스케어의 필요성이 증대되고 있다. 디지털 헬스케어로 기존 병원 진료의 온라인 원격 진료/처방이 지속 증가하고 있을 뿐만 아니라 관련 빅데이터를 모아 개인 건강과 질병 상태 정보를 취합하여 건강 관리 및 치료를 하는 디지털 치료제 개발이 급속 진행되고 있으며 관련 벤처 창업도 활발히 진행되고 있다. 이러한 디지털 헬스케어, 디지털 치료제 산업의 활성화는 각 개인의 신체 상태를 상시 측정하고 이 정보를 관련 시스템과 연동 할 수 있는 웨어러블 디바이스, 특히 스마트워치의 보급 증대에 힘입은 바가 크다. 본 연구에서는 스마트워치의 기술혁신이 디지털 헬스케어의 수용성에 어떻게 영향을 미치는지 확장된 통합기술수용모델을 적용하여 분석하고, 혁신 사례로 스마트워치를 활용한 디지털 수면 치료제 벤처 개발 현황을 제시하였다. 본 연구를 통해 확인한 결과는 다음과 같다. 첫째 디지털 헬스케어 스마트워치의 개인혁신성, 효용가치, 사용편의 등 ICT 변인들에 대한 기술발전의 매개 영향은 유의한 것으로 나타났다. 둘째 ICT 변인들과 기술발전 매개변수는 디지털 헬스케에 스마트워치 수용의도에 대부분 정(+)의 영향을 미치는 것으로 확인되었다. 단 기술발전은 개인혁신성에는 크게 매개하지 않는 것으로 나타났다. 이러한 혁신기술의 디지털 헬스케어 스마트워치 수용의도 영향 평가 결과는 스마트워치 각종 서비스 상품기획과 마케팅에 유효하게 참조 할 수 있을 것으로 보이며 추후 세분화 연구를 통하여 더욱 소비자 특화된 제품과 서비스를 창출하는데 기여 할 수 있을 것으로 사료 된다.