U-health Service Research Articles

Improvement of Mobile U-health Service System Using Feces and Urine Sensing U-Care Scheme

This paper presents a novel method to design and implement mobile u-health system by defining the essential elements of mobile healthcare services. We choose common service elements for the proposed u-healthcare scheme and design the service platform. Especially we focus on automatic feces or urine sensing u-care scheme to prove the effectiveness of our platform. We construct the system with sensing part with a manikin and a diaper, wireless communication part with feces or urine sensing data, and coordinator system based on the u-health platform defined in this paper. Experimental results show that our scheme is useful in the area of u-care service for the handicapped, the elderly, and patients who can hardly move by themselves. In addition the designed scheme offers a realized u-care scheme with the purpose of advanced developing tools for application or service developers.

A Empirical Study on the Individual and Ubiqutous Characteristics Affecting User's Intention to Use u-Health Service

우리나라 의료비 지출은 OECD 국가들 중 평균 1.3%보다 3.6%p로 약 3배정도가 높다. 이러한 의료비 절감의 일환으로 최근 u-Health를 통한 서비스가 각광을 받고 있다. 하지만, 지난 2002년부터 국내 u-Health 산업이 본격적으로 시작되었음에도 불구하고 국내 u-Health 산업은 다양한 문제에 기인하여 최근까지도 정체되고 있는 실정이다. 이러한 원인에 대한 다양한 분석이 있지만, 사용자의 인식 부족이 주요한 원인으로 지적되고 있다. 이에 본 논문에서는 u-Health 서비스 사용의도에 영향을 미치는 요인에 대해 기술수용모델(TAM)을 기반으로 제시하였다. 설계한 연구모형을 바탕으로 설문조사를 통해 수집한 최종 123개의 설문 응답결과를 탐색적 요인 분석과 다중회귀분석을 통해 실증분석 하였다. 잠재적 소비자들이 u-Health 서비스를 사용하는데 어떠한 요인이 영향을 미치는지에 대한 연구로서 실용적, 학술적 가치를 가진다.

RETRACTED ARTICLE: Implementation of mobile U-health service system based on personalized computer aided diagnosis probability

RETRACTED ARTICLE: Implementation of mobile U-health service system based on personalized computer aided diagnosis probability

P2P-based u-health cluster service model for silver generation in PBR platform

As the number of the silver generation increases, u-health service has evolved into more preventive services accessible in any type of service environment based on service platforms from the previous treatment and management-oriented services for specific diseases. U-health service used to solely provide remote diagnosis and counseling or biometrics monitoring, facing limitations in preventing or managing potential chronic disease cases. In this recognition, the research seeks to propose a P2P-based u-health cluster service model for silver generation in PBR(Personal Bio Record) platform. The proposed u-health service herein utilizes PCs and smart phones to provide health, dietary and exercise information regardless of time and space. Based on the PBR platform, the system effectively connects the EMR system and users’ service systems in order to understand service targets’ lifestyle patterns and offer further customized services. This u-health cluster service model is expected to realize useful services to user in a multi-platform environment and contribute to enhanced health status of senior patients with chronic disease.

유헬스 서비스 기반의 ISO/IEEE 11073-10404 모니터링 시스템 구현

유헬스 서비스는 사물인터넷 장치와 스마트 기기와 같은 모바일 장치를 사용하기 때문에 휴대가 간편한 소형 컴퓨팅 장치로 구성되어 있으며, 기존 컴퓨터에서 수행하던 작업을 동시에 수행할 수 있다. 환자의 생체정보를 이동통신망 환경에서 의료진과 환자 및 환자의 가족의 스마트기기로 실시간으로 전달할 수 있도록 bluetooth HDP기반의 메시지 구조를 사용하였다. ISO/IEEE 11073 PHD 표준을 기반으로 agent와 manager 사이의 통신 방법을 정의하였다. 의료진과 환자 및 환자의 가족이 스마트 기기를 통하여 실시간으로 확인할 수 있도록 안드로이드 기반의 모니터링 애플리케이션을 구현하여 일상생활에서 사용되고 있는 스마트 기기에서 동작을 확인함으로써 생체정보의 원활한 송수신을 확인하였다. The u-health service is using portable device such as smart device and it consists of small computing device. The u-health service carry out same performance with desktop computer. We designed message structure based on Bluetooth HDP. This message structure is used to transmit patient's biometric data on the smart device of medical team, patient and family over the mobile network environment. ISO/IEEE 11073 PHD standard was defined based on the method of communication between the agent and the manager. And We are confirmed the reliable transmission of biometric data at the smart device by implementing the android OS based patient information monitoring application to check the status of patient for medical team, patient and family.

U-Health환경에서 안전한 개인정보 관리를 위한 통합 인증스키마 설계

The U-health service provides medical services with patients anytime or anywhere and is defined as the service that combines information and communication technology with health and medical service. However, it causes some troubles, such as the disclosure of patients' medical information or data spills (personal information extrusion). Moreover, it has the weak point of the security threats associated with data based on existing wire-wireless systems because it conducts data transmission and reception through the network. Therefore, this paper suggests a safe personal information management system by designing integrated certification schema that will help compensate for the weaknesses of the U-health service. In the proposal, the protocols for user information, certification between medical institution and users, data communication encryption & decryption, and user information disuse were designed by applying the ID-Based Encryption, and analyzed such existing systems and PKI Based-based communication process, securely and safely.

QoS(Quality of Service) 측정 모델을 참조한 스마트헬스케어서비스 소프트웨어 품질만족도 평가체계

Quality is the value that can be measured by observing the characteristics of the service quantity or quality. QoS is predictable service traffic to a minimum requirements what passed in network. In the course of Smart Medical Information System Development there exist some functional requirements to satisfy quality objectives. The functional smart domains of healthcare information systems consists of Patient Module, a smart sensing and communication domain, RFID Tag Readers and the behavior domain, Homecare Station Domain, Clinical Station. This study is performed on evaluation methodology of u-health service satisfaction quality of each domain. In this paper QoS metrics and the quality of medical information requirements, functional requirements are separated by. Quality parameters consists of six items and the functional requirements and quality requirements 20 details the five items and consist of 20 detailed items. On this study the quality evaluation methodology of Korean smart health information quality assessment matrix 2 - factor evaluation method is proposed. The overall framework of this paper is organizing the specific criteria of quality of medical information system and modeling quality evaluation process under all smart environment. 키워드 : QoS(Quality of Service), 측정모델, 스마트헬스케어서비스, 소프트웨어품질, 만족도측정 Key word : QoS(Quality of Service), Measurement Model, Smart Healthcare Services, Software Quality, Satisfaction Rating

Home Health Gateway Based Healthcare Services Through U-Health Platform

The Ubiquitous Health, or u-Health, service is an IT health care service using the ubiquitous computing environment. U-Health provides customized medical services. As it is a service that has developed from the current hospital visiting medical system, the u-Health service provides a patient with healthcare anywhere and anytime. In this paper, we propose a home health gateway based healthcare services through the u-Health platform. Using home health gateway, u-Health can provide health monitoring, diet, and exercise services using the healthcare decision support module in the ubiquitous environment. This approach would offer specialized services using an external content provider of DB. In addition, a doctor can provide advice to patients using the monitoring service. The proposed u-Health platform provides effective services using home health gateway in ubiquitous environments to customers, which will improve the health of chronic patients.

Effects of Consumer-Centered u-Health Service for the Knowledge, Skill, and Attitude of the Patients With Chronic Obstructive Pulmonary Disease

Through the use of ubiquitous health, or u-Health, services, medical information can be adapted and made accessible via computer and Internet to provide quality healthcare to anybody, any place, and any time. We developed and implemented u-Health services for patients with chronic obstructive pulmonary disease and studied their experiences with respect to their knowledge of chronic obstructive pulmonary disease and skill and attitude toward the u-Health devices. The u-Health services were composed of telemonitoring and teleconsultation supplemented with home visits. To determine its effectiveness, the u-Health service system was implemented for 2 years with 144 chronic obstructive pulmonary disease patients in a clinical experiment. The subjects were divided into three experimental groups, each provided with different services, compared before and after intervention, and among groups. The analysis of data gathered through the system suggested that u-Health services can support patients with chronic obstructive pulmonary disease, improve patients' knowledge about chronic obstructive pulmonary disease self-management, build u-Health device usage skills, and foster a positive attitude toward u-Health devices. The u-Health services for the chronic obstructive pulmonary disease patients were both feasible and effective from the patients' perspective.

PHR기반 개인 맞춤형 식이·운동 관리 서비스 개발

개인 맞춤형 식이 운동 콘텐츠 제공을 위해 1개 3차병원에서 제공하는 PHR(Personal Health Records)을 기반으로 건강관리 스마트폰 어플리케이션을 개발하였다. PHR의 상병명에 근거하여 각 질환과의 상관관계를 적용한 식이 운동 적합률 알고리즘을 통해 개인의 질환을 관리하기 위한 맞춤형 콘텐츠를 제공하며, 식사량과 운동량을 기록하여 섭취 소비한 칼로리를 기록하는 기능을 제공한다. 또한 사용자의 위치정보를 근거로 한, 음식점 위치 정보 및 해당 메뉴, 그에 따른 영양분석에 대한 정보를 제공하는 개인에게 적합한 콘텐츠를 이용하고 기록할 수 있는 서비스로써, 사용자의 상태와 편의성을 고려하여 유헬스 서비스를 제공할 수 있다. We developed a Smartphone application based on PHR(Personal Health Records) provided by a tertiary hospital to provide users personalized diet, exercise contents. It uses Relevance ratio algorithm of diet and excercise being correlated with diseases listed on PHR to provide personalized contents to management of individual diseases and record the amounts of food taken and exercise along with calories consumed through exercise. Besides, developed U-Health Service also considering users' conditions and conveniences, as a service to use contents and record suitable for the individuals who share the information on restaurants locations, their menus, and nutrition based on users' location information.

디지털 TV에서 시멘틱 환경의 유헬스 서비스를 위한 나이브 베이지안 필터링 기반 개인화 서비스 추천 방법

For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.

Effects of Consumer-Centered u-Health Service for the Knowledge, Skill, and Attitude of the Patients With Chronic Obstructive Pulmonary Disease

CIN: Computers, Informatics, Nursing serves to advance the science of nursing informatics through peer-reviewed, evidence-based, original research and information from clinical and educational settings, to promote the specialty by disseminating information about relevant professional nursing informatics activities, and to provide a resource for all involved in the implementation and management of health information technology within the nursing and healthcare practice. About the Journal: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.

Acceptability of the Consumer-Centric u-Health Services for Patients with Chronic Obstructive Pulmonary Disease

We developed and implemented a system for u-health (ubiquitous healthcare) services for patients with chronic obstructive pulmonary disease (COPD) and studied the level of acceptability by the patients in the context of home visits and telephone education. To determine its effectiveness, the u-health service system was used for 2 years with 144 COPD patients in a clinical environment. Patients were provided with the u-healthcare service. Patients with COPD were highly satisfied with the u-healthcare service, which incorporated telemonitoring, teleconsultation, and tele-education along with home visits. The average acceptable fees (in USD) of the service system are as follows: u-health device, $421.28; home visit, $21.53/visit; tele-education, $0.53/min or $26.57/month; and total service fee, $44.26/month. COPD patients accepted u-health services with a high satisfaction rate, promising a new paradigm of consumer-centric healthcare services.

3D positioning scheme exploiting nano-scale IR-UWB orthogonal pulses

In these days, the development of positioning technology for realizing ubiquitous environments has become one of the most important issues. The Global Positioning System (GPS) is a well-known positioning scheme, but it is not suitable for positioning in in-door/building environments because it is difficult to maintain line-of-sight condition between satellites and a GPS receiver. To such problem, various positioning methods such as RFID, WLAN, ZigBee, and Bluetooth have been developed for indoor positioning scheme. However, the majority of positioning schemes are focused on the two-dimension positioning even though three-dimension (3D) positioning information is more useful especially in indoor applications, such as smart space, U-health service, context aware service, etc. In this paper, a 3D positioning system based on mutually orthogonal nano-scale impulse radio ultra-wideband (IR-UWB) signals and cross array antenna is proposed. The proposed scheme uses nano-scale IR-UWB signals providing fine time resolution and high-resolution multiple signal specification algorithm for the time-of-arrival and the angle-of-arrival estimation. The performance is evaluated over various IEEE 802.15.4a channel models, and simulation results show the effectiveness of proposed scheme.

멀티플랫폼 환경의 만성 질환자 건강관리를 위한 유헬스 서비스 모델

만성질환자가 증가함에 따라서 유헬스 서비스는 특정 질병의 치료 및 관리에서 서비스 대상자에 대한 행동수정기반의 예방서비스로 진화하고 있다. 기존의 유헬스 서비스는 원격진료나 상담을 통한 서비스나 생체정보의 모니터링만을 제공하여 대사증후군 등 만성질환자를 예방하거나 관리하는 것에는 한계가 있다. 이에 본 논문에서는 만성질환자의 건강관리를 위한 멀티플랫폼 기반의 유헬스 서비스 모델를 제안한다. 멀티플랫폼 기반의 유헬스 서비스는 PC와 스마트폰을 통하여 사용자의 위치와 제한없이 지속적으로 건강 정보 및 식이, 운동에 대한 서비스가 가능하다. 또한 임상정보를 바탕으로 CDS(Clinical Decision Support) 모듈을 활용한 처방 서비스를 의사와 간호사에게 제공한다. 의사는 행동수정 프로그램을 통해 서비스 대상자의 생활패턴을 파악하고 맞춤화된 서비스의 제공이 가능하다. 본 유헬스 서비스 모델은 서비스 대상자에게 멀티플랫폼 환경에서 효과적인 서비스를 제공하여 만성질환자의 건강증진에 기여할 것으로 기대된다. U-health services have been progressed as treatment and management for specific diseases and prevention services for providing the behavior management to customers according to the increase in chronic patients. The conventional U-health services provide required services and bio-information monitoring only through remote diagnoses and counsels and that represent limitations in preventing and managing metabolic syndrome patients like chronic patients. Thus, in this study a multi platform based U-health service model for managing the health of chronic patients is proposed. The multi-platform based U-health service model can provide continuous health information, diet, and exercise services regardless of the location of customers through PCs and smart phones. In addition, it is able to provide prescription services to doctors and nurses using a CDS (Clinical Decision Support) module based on clinical information. Doctors can identify the life pattern of patients through a behavior modification program and provide customized services to patients. The U-health service model provides effective services in multi-platform environments to customers and that will improve the health of chronic patients.

A new method of ECG feature detection based on combined wavelet transform for u-health service

The analysis of the ECG is required of accuracy for diagnosing many cardiac diseases. In this work, we propose an algorithm using wavelet transform to analyze and classify ECG (electrocardiogram) signal obtained from the developed patch type electrode. This paper presents a new combined wavelet transform artificial neural network (CWTANN) based system for classification and detection of QRS complex, P and T waves. CWTANN provided useful information for detection of cardiac disease or abnormality. In this paper, we proposed a method to detect characteristic waves, such as P, QRS and T wave from abnormal ECG signal. Daubechies, Coiflets and Symlets order 5 wavelet transform were applied to the ECG. The methods have been proven out for detection of normal signal, ventricular tachycardia (VT) and PVC (premature ventricular contraction) in the ECG through subband decomposition and combined wavelet transform. From the results, the detection rate achieved was 96.2% for off-line classification, which is indeed a good rate of accuracy for data recognition. Using the simple proposed wavelet scheme, the developed methodology achieves higher detection rates. The proposed ECG detection method can be used P, QRS, T wave detection by sum of combined scale using DWT. Thus the clinical use of the methodology is to be beneficial in the analysis of various heart diseases. The new CWTANN method is expected used in monitoring of ECG for mobile home healthcare applications.

U-Health Service for Managing Chronic Disease: A Case Study on Managing Metabolic Syndrome in a Health Center in South Korea

ObjectivesWe were to analyze the effect of managing metabolic syndrome using a u-health service in a health center.MethodsWe collected biometric data from 316 subjects living in a county (gun) in South Korea before and after the introduction of uhealth services in 2010. Analysis was done by contingency table using SPSS and latent growth model using AMOS.ResultsWe found that regional u-health services affected instance of metabolic syndrome. Further, biometrics and health behavior improved. After six months of u-health services, the number of subjects with three or more factors for metabolic syndrome decreased by 62.5%; 63.3% of regular drinkers stopped drinking; 83.3% of subjects who rarely exercised began to exercise twice a week or more; and 60.9% of smokers stopped smoking.ConclusionsU-health services can change health behavior and biometrics to manage metabolic syndrome in rural areas. The usefulness of u-health services is discussed.

Effects of Nutrition Education Using a Ubiquitous Healthcare (u-Health) Service on Metabolic Syndrome in Male Workers

The objective of this study was to investigate the effects of nutrition education based on ubiquitous healthcare (u-health) service on changes in dietary habits, nutrition intake, and risk factors for metabolic syndrome in male workers. In total, 72 male office workers with at least three risk factors of the National Cholesterol Education Program-Adult Treatment Panel III were recruited as subjects. Anthropometric measurements and biochemical analyses were conducted on all subjects. Dietary habits and nutrient intake were determined by a questionnaire using the 24-hour dietary recall method before and after nutrition education. Subjects measured their body composition, blood pressure, and physical activity more than once per week during the 12 weeks using the u-health care equipment and sent these data to a central database system using a personal computer. Individual nutrition counseling was provided four times on the first, fourth, eight, and twelfth weeks. The results showed significant decreases in abdominal circumference, body fat (%), diastolic blood pressure, serum triglycerides, and serum total cholesterol during the 12 weeks. Subjects with more than 12 measurements showed significant reductions in abdominal circumference, body fat (%), serum triglyceride, and serum total cholesterol. Mean intake of dietary fiber, animal calcium, potassium, vitamin C, and folic acid after nutrition education were higher than those before nutrition education. Participants showed significant increases in the frequencies of consuming protein foods (meat, fish, eggs, beans, tofu, etc. ) and vegetables. In conclusion, nutrition education through the u-health service resulted in positive effects on the risk factors for metabolic syndrome, nutrient intake, and dietary habits. (Korean J Nutr 2011; 44(3): 231 ~ 242)

U-Health: an example of a high-quality individualized healthcare service.

National Taiwan University Hospital (Taipei, Taiwan), which is one of the largest hospitals in Taiwan, is undergoing healthcare service reforms: it is combining the home healthcare service network and sensors network into a new service known as the Ubiquitous Healthcare (U-Health) service system in order to continually provide a personalized healthcare service to patients who live in remote areas. The U-Health service system is comprised of six service components that are introduced in an integrated manner: tele-education, telediagnosis, telemonitoring, teleconsultation, teletherapy and lifetime health. The target patient segments are postdischarge patients, patients suffering from cardiovascular diseases, patients suffering from chronic diseases and patients in hospice care. Since its launch in October 2009, the U-Health service system has effectively reduced the rehospitalization rate from 12% in October 2009 to 6% in May 2010 and the rate of visiting the emergency room from 21% in October 2009 to 9% in May 2010, during the 14-day postdischarge follow-up period.

U-health 개인 맞춤형 질병예측 기법의 개선

Applying the conventional machine-learning method which has been frequently used in health-care area has several fundamental problems for modern U-health service analysis. First of all, we are still lack of application examples of the traditional method for our modern U-health environment because of its short term history of U-health study. Second, it is difficult to apply the machine-learning method to our U-health service environment which requires real-time management of disease because the method spends a lot of time in the process of learning. Third, we cannot implement a personalized U-health diagnosis system using the conventional method because there is no way to assign weights on the disease-related variables although various kinds of machine-learning schemes have been proposed. In this paper, a novel diagnosis scheme PCADP is proposed to overcome the problems mentioned above. PCADP scheme is a personalized diagnosis method and it makes the bio-data analysis just a `process` in the U-health service system. In addition, we offer a semantics modeling of the U-health ontology framework in order to describe U-health data and service specifications as meaningful representations based on this PCADP. The PCADP scheme is a kind of statistical diagnosis method which has characteristics of flexible structure, real-time processing, continuous improvement, and easy monitoring of decision process. Upto the best of authors` knowledge, the PCADP scheme and ontology framework proposed in this paper reveals one of the best characteristics of flexible structure, real-time processing, continuous improvement, and easy monitoring among recently developed U-health schemes.