• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.33-40
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• 2016

Previous works for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods require accurate detection of ECG signal, higher computational cost and larger processing time. But it is difficult to analyze the ECG signal because of various noise types. Also in the healthcare system based IOT that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. Therefore it is necessary to design efficient algorithm that classifies different arrhythmia in realtime and decreases computational cost by extrating minimal feature. In this paper, we propose R wave detection considering complexity and arrhythmia classification based on binary coding. For this purpose, we detected R wave through SOM and then RR interval from noise-free ECG signal through the preprocessing method. Also, we classified arrhythmia in realtime by converting threshold variability of feature to binary code. R wave detection and PVC, PAC, Normal classification is evaluated by using 39 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.41%, 97.18%, 94.14%, 99.83% in R wave, PVC, PAC, Normal.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.313-320
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• 2013

The four-dimensional cycle simulator, which can recognize whether the road is ascent or descent, its gradient, and status of its surface on Virtual Reality, is introduced in this paper. On the base of these recognitions, various virtual motion path situations are displayed on LCD monitor attached ahead. These various situations may support not only the sense of realty but also an interest in a game in opposition to previous exercise cycles that might be monotonous. In this paper both analysis and estimation of basic bodily abilities for the four-dimensional cycling are addressed.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.252-262
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• 2021

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.123-132
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• 2020

With increasing social interest in health and health promotion, the government and many organizations are conducting various health campaigns for the public. The public health campaign is aimed at protecting the people from the dangers of disease and contributing to a healthy life and also help establishing a healthy attitude and changing behavior as well. In addition, many researches have been carried out in order to enhance the advertising effect of campaigns aimed at forming preventive attitudes and to verify it by applying many theories. However, as a result, there is a significant lack of research regarding analysis of differences in the effectiveness of the campaign by media. This study is to analyze the effect of health campaign by the type of media which published health campaign advertisements that can affect prevention attitude. To meet the purpose of this study, The 15 print media were to examine the impact of media characteristics and types on participation in campaigns for health campaigns. Through this, we will present the role of the media as an efficient channel to encourage the formation and participation of the health attitude of campaign advertisements, and present significant implications in the selection of optimal media and the execution of campaign budgets.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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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.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.1
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• pp.21-28
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• 2023

Purpose: Evidence-based design is the process of making design decisions based on reliable research to achieve the best results, so it is important to accumulate reliable evidence through research. Therefore, the purpose of this study is to present new evidence by applying the evidence-based design process to improve the digital signage for each room spaces in hospitals and verifying its effectiveness. Method: Through the 8-step process of evidence-based design, improved digital signage for each room spaces are installed. It conducted surveys and statistical analysis to prove hypotheses by linking design and research. Results: The hypotheses established in the study are: 1) improvement in the readability of digital signage is correlated with patient satisfaction; 2) Improving the intuitiveness of digital signage correlates with patient satisfaction; 3) Improving the sufficiency of digital signage correlates with patient satisfaction. As a result of satisfaction analysis and correlation analysis, all of the above hypotheses were proven. Implications: Although the hospital sign system is the element that patients rely on most intuitively in the long journey of reception, waiting, examination, and treatment, there is insufficient evidence to refer to or apply it when designing. It is necessary to expand future research to expand the evidence that can be applied to hospital sign design.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.31-42
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• 2023

As computer performance is leveled upward, the use of IoT systems is gradually expanding. Although IoT systems are used in many fields, it is true that it is difficult to build a safe system due to performance limitations. To overcome these limitations, many researchers have proposed numerous protocols to improve security issues. Among them, Azrour et al. except. We proposed a new efficient and secure authentication protocol for remote healthcare systems in a cloud-based IoT environment, and claimed that the new protocol could solve the security vulnerabilities of the existing protocols and was more efficient. However, in this paper, through the security analysis of the remote healthcare system in the cloud-based IoT environment proposed by Azrour et al., the protocol of this system was found to be vulnerable to Masquerade attack, Lack of Perfect Forward Secrecy, Off-line password guessing attack, and Replay attack.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.139-149
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• 2022

The study aims to understand the impact the consumption value changed by COVID-19 has on the purchasing behavior of industry foodservices dietitians and to provide baseline data in setting the marketing strategies for the food materials distribution companies in the future. The main survey was conducted for eight days from May 13th to 20th 2021 and 260 copies were collected and analyzed. Through the results of the study, the following conclusion elicited. First, consumption values that impact purchasing behaviors of industry foodservices dietitians are functional value and situational value. Second, for dietitians working at directly managed foodservice establishments, the higher the functional value of the food materials is, the higher the purchasing behavior. But such correlation was not found in the case of dietitians at consignment establishments. Third, compared to before and after COVID-19, the importance of functional value of food materials decreased, while the importance of situational value increased. Therefore, it is assumed that establishing marketing strategies differentiated by direct and consignment management will contribute to the energetic sales of the food material companies in the era of post COVID-19.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.123-126
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• 2008

한의학의 대중화 및 선호도 향상을 위해 가장 시급하고 중요한 일이 임상의들의 직관을 정량화 및 객관화 하는 일이다. 특히 병색을 살피는 망진(望診)의 경우 임상 현장뿐 아니라 u-헬스에 기반이 될 수 있는 진단법인 관계로 더욱 망진에 대한 정량화 작업이 시급하며 중요한 부분을 차지하고 있다. 이와 같이 망진의 공학적 융합을 통한 시스템화를 위해서는 디지털 기기의 특성상 일어날 수 있는 색 정보의 손실을 최소화 하여야 하며 색 분석을 위한 기준을 만들어 주어야 한다. 이를 위해 본 논문에서는 한의학의 찰색을 시스템 하기 위한 실험 환경 및 조건 등에 대한 기준을 제안하고, 또한 질병에 따른 특정 부위의 색상을 살피기 위해 가장 효율적인 디지털 색 체계가 무엇인지를 다양한 실험을 통해 분석한 자료를 제시하고자 한다.

• Electronics and Telecommunications Trends
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• v.26 no.6
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• pp.37-46
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• 2011

최근 고령화가 사회적인 이슈로 떠오르고 있다. 노인 인구의 증가는 급격한 의료 서비스의 수요 증가를 초래하고 이로 인해 의료비용의 급증을 야기하고 있다. 또한, 평균 수명의 연장은 노인의 삶의 질 저하를 막기 위한 수단을 요구하고 있으며, 전문 의료진의 부족현상이 심화되고 있다. 이러한 문제들을 해결하기 위하여 최근 IT 기술이 의료 분야에 다양한 형태로 융합되고 있다. 의료기기에 IT가 융합되어 기존의 의료기기를 고도화하거나 새로운 형태의 의료기기를 만들어 내고 있으며, 유헬스와 같이 새로운 개념의 서비스가 등장하고, 병원의 정보화를 통해 효율화를 극대화하는 디지털병원, 대규모로 축적되는 의료정보의 효율적 활용을 추구하는 Health 2.0 등 혁신적인 의료 IT 융합기술들이 연구되고 있다. 본 고에서는 국내외에서 진행되고 있는 의료 IT 융합기술의 연구개발 동향에 대하여 알아보고, 한국전자통신연구원(ETRI)에서 연구하고 있는 내용을 소개한다.