• Journal of the Korea Convergence Society
• /
• v.6 no.6
• /
• pp.247-253
• /
• 2015

The purpose of this convergence study was to analysis the current status of the cancer screening and background healthcare systems in Korea and Japan. First, Cancer Screening Program is coordinated well with National Health Insurance Service(NHIS) under a unified insurer system in Korea. But in Japan, there are over 3,500 insurer and coordinating a comprehensive strategy for cancer screening promotion has been very difficult. Second, Rate of cancer screening is influenced by public healthcare system. In Korea public healthcare does not cover a wide rage of services. Almost free cancer screening provides high incentive to participation. It is very important to understand the impacts of each healthcare system when designing an efficient cancer screening system.

• Journal of Internet Computing and Services
• /
• v.11 no.2
• /
• pp.129-142
• /
• 2010

The ubiquitous healthcare environment is one of the systems that benefit from wireless sensor network. But one of the challenges with wireless sensor network is its high loss rates when transmitting data. Data from the biosensors may not reach the base stations which can result in missing values. This paper proposes the Health Monitor Agent (HMA) to gather data from the base stations, predict missing values, classify symptom patterns into medical conditions, and take appropriate action in case of emergency. This agent is applied in the Ubiquitous Healthcare Environment and uses data from the biosensors and from the patient’s medical history as symptom patterns to recognize medical conditions. In the event of missing data, the HMA uses a predictive algorithm to fill missing values in the symptom patterns before classification. Simulation results show that the predictive algorithm using the HMA makes classification of the symptom patterns more accurate than other methods.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.7
• /
• pp.277-282
• /
• 2015

HL7 released V3 CDA(Clinical Document Architecture) and V2.x message standards for medical information exchange. Currently, these standards are successfully adopted by a number of nations across the globe. However, substantial amount of time is required to develop and implement these standards. Moreover, developers need a lot of time to understand these standards. To solve these issues from 2011, the HL7 standard framework started to discuss Fast Healthcare Interoperability Resources(FHIR) as next generation standard of healthcare information exchange. People's interests toward personal health record and smartphone penetration rate are growing and increasing rapidly. Therefore, our research team believes it is necessary to develop a PHR profiling system which could be accessed by using a smartphone and we developed the system. Through a FHIR Profile editor tool developed in Furore, we found that improvements could be made in generating and changing the profile. In order to build the PHR Profiling system, an Open-API on FHIR is used for exchanging information between electronic medical record system and PHR Profiling system. In the PHR Profiling system, the transactions of information between two systems are provided by RESTful service. In this study, we verify the efficiency of development of the PHR Profiling system through FHIR.

• Tuberculosis and Respiratory Diseases
• /
• v.81 no.2
• /
• pp.116-122
• /
• 2018

Background: Chronic obstructive pulmonary disease (COPD) is a serious chronic condition with a global impact. Symptoms of COPD include progressive dyspnea, breathlessness, cough, and sputum production, which have a considerable impact on the lives of patients. In addition to the human cost of living with COPD and the resulting death, COPD entails a huge economic burden on the Chinese population, with patients spending up to one-third of the average family income on COPD management in some regions is clinically beneficial to adopt preventable measures via prudent COPD care utilization, monetary costs, and hospitalizations. Methods: Toward this end, this study compared the relative effectiveness of six indices in predicting patient healthcare utilization, cost of care, and patient health outcome. The six assessment systems evaluated included the three multidimensional Body mass index, Obstruction, Dyspnea, Exercise capacity index, Dyspnea, Obstruction, Smoking, Exacerbation (DOSE) index, and COPD Assessment Test index, or the unidimensional measures that best predict the future of patient healthcare utilization, cost of care, and patient health outcome among Chinese COPD patients. Results: Multiple linear regression models were created for each healthcare utilization, cost, and outcome including a single COPD index and the same group of demographic variables for each of the outcomes. Conclusion: We conclude that the DOSE index facilitates the prediction of patient healthcare utilization, disease expenditure, and negative clinical outcomes. Our study indicates that the DOSE index has a potential role beyond clinical predictions.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.3
• /
• pp.719-724
• /
• 2011

Most recent birth rate at home raising children, only one has come out well. Accordingly, children born to parents is to have a strong interest, and healthcare (Healthcare) sector, while emerging as a new growth industry (Baby Care) Baby Care also increased the interest. Baby Care products until now the food, toiletries and clothing, etc. Although it advances the development of ubiquitous computing environment with the development of the healthcare industry, Baby Care Electronics products have been developed. Europe and the U.S. infant from another room deungeseoneun feeder. At this time SIDS infants to prevent this phenomenon often takes place in order to measure the status of children and away from parents to children, also can check the status of children was used to implement the Platform. In this paper, using the radio frequency real-time observation of data storage without the parents were determined only by the speed of the ARM11-based systems using the S3C6410 CPU and wireless WI-FI (IEEE8.2.11) technology to prevent sudden infant death using Platform for the implementation study was conducted.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.3
• /
• pp.9-15
• /
• 2011

U-healthcare system has an aim to provide reliable and fast medical services for patient regardless of time and space by transmitting to doctors a large quantity of vital signs collected from sensor networks. Existing u-healthcare systems can merely monitoring patients' health status. In this paper, we describe the implementation and validation of a prototype of a u-health monitoring system based on a wireless sensor network. This system is easy to derive physiologically meaningful results by analyzing rapidly vital signs. The monitoring system sends only the abnormal data of examinee to the service provider. This technique can reduces the wireless data packet overload between a monitoring part and service provider. The real-time bio-signal monitoring system makes possible to implement u-health services and improving efficiency of medical services.

• Journal of radiological science and technology
• /
• v.43 no.4
• /
• pp.281-288
• /
• 2020

This study was intented as an investigation of the employment process into UAE for Korean and overseas sonographers to understand requirements for working abroad in regards to primary education curriculum and employment expansion abroad. A total of 10 candidates are selected who were working together with a job title of a cardiac sonographer in the same department under one hospital in Abu Dhabi, UAE. The candidates had clinical experience over 2 years in other countries after graduation and for 1 year at least in UAE. Data was collected through in-depth interviews, a web search and literature reviews. We analyzed the process regarding their curriculums studying in colleges, educational courses and certificates related medical fields. The findings were created with four essential themes: first, there are specific colleges or diploma courses corresponding academic major in United states, Portugal, Turkey, India and Pakistan. Secondly, healthcare professions were systemized by certifying as a specialist relevant medical fields. Thirdly, it is mandatory to be employed in UAE that are clinical experience for 2 years at least after graduation of specific courses. Lastly, It is required to work in UAE that is a license of healthcare authority under each state by taking a national examination or transferring own certificates to a current license in UAE. In conclusion, the results indicate that employing process for healthcare professionals depends on the educational requirements or clinical experience accumulated due to the various systems to be certified in each country. We believe that this study suggests experimental information for Korean job seekers considering working abroad in the medical ultrasound fields.

• The KIPS Transactions:PartC
• /
• v.18C no.3
• /
• pp.195-198
• /
• 2011

Recent expansion of the ubiquitous environment and improvement of the USN give lots of U-healthcare systems. In this paper, we design and implement a wireless ECG measurement system that can send ECG signals among the sensors and collector. It can also give almost the same precision as a hospital ECG system with mobility. The most important fact of the mobile ECG system is the signal data connectivity among the sensors and device such as signal cables or wires. we can eliminate the signal cable through the Zigbee sender and collector via implementing Zigbee-SD communication system that can receive the ECG signal data. We also implement ECG app software on the smart phone that can analyze and show the data results directly. It can give lots of mobility and usability under ubiquitous environment and would be a very efficient wireless ECG system for U-healthcare service.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.187-194
• /
• 2019

A security company has been proposed for various healthcare systems. However, there are improvements in order to achieve better efficiency and stability in the various protocols presented. The purpose of this paper is to provide cryptanalysis and solution on Vijayakumar et al.'s secure communication scheme for healthcare system using wearable devices. Especially, it is weak against denial of service attack and it does not provide integrity of the transmitted messages. Thereby, this paper proposes a new secure communication scheme to cope from the problems in Vijayakumar et al.'s scheme. It provides authentication and integrity, which could be the security solution against Vijayakumar et al.'s scheme. Furthermore, it also provides a good computational overhead compared to Vijayakumar et al.'s scheme.

• Healthcare Informatics Research
• /
• v.24 no.4
• /
• pp.309-316
• /
• 2018

Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low. Methods: The proposed arousal and valence classification model to analyze the affective state was tested using data from 40 channels provided by a dataset for emotion analysis using electrocardiography (EEG), physiological, and video signals (the DEAP dataset). Experiments were based on 10 selected featured central and peripheral nervous system data points, using long short-term memory (LSTM) as a deep learning method. Results: The arousal and valence were classified and visualized on a two-dimensional coordinate plane. Profiles were designed depending on the number of hidden layers, nodes, and hyperparameters according to the error rate. The experimental results show an arousal and valence classification model accuracy of 74.65 and 78%, respectively. The proposed model performed better than previous other models. Conclusions: The proposed model appears to be effective in analyzing arousal and valence; specifically, it is expected that affective analysis using physiological signals based on LSTM will be possible without manual feature extraction. In a future study, the classification model will be adopted in mental healthcare management systems.