• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.11
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• pp.1689-1694
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• 2012

In this paper, we present a reconfigurable mobile platform (RMP) for user-specific applications. The RMP consists of a basic module and more than one extended module that offers specified functions to a portable platform based on the circumstances and purposes of the users. The extend module for specified purposes is connected to the basic module using a common interface that offers interoperability to the traditional interfaces. This paper gives the results of a survey to determine specifications of a reconfigurable mobile platform. Utilizing the results of the survey, we propose a prototype of the reconfigurable mobile platform to enable specialized functions. The design objective is to provide specialized functions required for user specific needs related to their age and physical condition. In addition, it can be used for mobile healthcare applications that are efficient in improving the user's health conditions by executing medical analysis and prescriptions.

• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.6
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• pp.458-465
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• 2016

The information relating to the health of person has been increasing. The information is such as medical information and personal health record and the information collected by utilization and dissemination of mobile devices. Therefore, the interest and demand for systems that can integrate and manage the Personal Health Record(PHR) is increasing. Quantity and quality of information that is collected from the patient can have a major impact on the diagnosis and treatment of Korean Medicine(KM) in clinical practice. Because closely observe the usual clinical symptoms of patients to utilize the treatment. But if the interview when memories are not sure of the correct answer does not get much easier to find exactly the symptoms. So when recording original symptom(素證) and daily subjective symptom can be helpful for care. Therefore, the personal health care services that can record and manage and own is necessary based on KM. In this paper, we propose Korean Medicine Personal Health Record Platform(KM PHR Platform). We have selected the significant symptoms that mean to the personal records from symptom information required for diagnosis in KM. And classifying and scoring as the symptoms were used as personal health care indicators. And significant symptoms were easily configure a screen that can be recorded. simple operation is recorded as a symptom. It was designed to reflect these functions. So KM PHR Platform helps to Personal health care. Doctor may be able to help in the diagnosis and prognosis observation by reference to shared symptom. We look forward to a variety of health services based on KM using a symptom, a medical record, personal health device information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.2
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• pp.425-430
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• 2009

In medical area, lots of information has been digitized and the desire of personnel health became a matter of primary concern. To satisfy this desire it requires the high-speed handhold Healthcare monitering platform for building U-health system. This paper represents that the implementation of s3c6000 platform with s3c6400 CPU using up-to-date ARM11 technology. This parer also represents building of network system with wireless LAN based on 802.11 in order to transmit medical data. Transmitting and monitoring personnel medical data will be possible in any place with wireless LAN network.

• Journal of Platform Technology
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• v.10 no.1
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• pp.20-28
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• 2022

Artificial intelligence-based health data verification has become an essential element not only to help clinical research, but also to develop new treatments. Since the US Food and Drug Administration (FDA) approved the marketing of medical devices that detect mild abnormal diabetic retinopathy in adult diabetic patients using artificial intelligence in the field of medical diagnosis, tests using artificial intelligence have been increasing. In this study, an artificial intelligence model based on image classification was created using a Teachable Machine supported by Google, and a predictive model was completed through learning. This not only facilitates the early detection of cataracts among eye diseases occurring among patients with chronic diseases, but also serves as basic research for developing a digital personal health healthcare app for eye disease prevention as a healthcare program for eye health.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.13-18
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• 2017

As the convergence technology is developing rapidly and the portable mobile devices are spreading in ubiquitous smart healthcare, users were able to get medical information easily through the smart health platform. According to such rapid industrialization, wellness care, aging society, information society, changes in disease aspects and life style, user-centered healthcare, and health promotion contents are being offered. In this study, we proposed the mining based mental health and blood pressure management service for the smart health. The proposed method provides the mental health management service and the blood pressure management service for chronic disease patients within the mining based smart health platform. Users receive optimized healthcare services regardless of time and place in the PHR based smart health platform. For the performance evaluation of the proposed mining based mental health and blood pressure management service, F-measure verification are conducted.

• Journal of Environmental Health Sciences
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• v.31 no.1
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• pp.39-46
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• 2005

This study was performed to investigate the concentration of $PM_{10}$ and $PM_{2.5}$ in inside train and platform of subway 1, 2, 4 and 5 in Seoul, KOREA. $PM_{10}$, $PM_{2.5}$, temperature, humidity and carbon dioxide were monitored using Portable Aerosol Spectrometer at afternoon (between 13:00 and 16:00). The concentrations of $PM_{10}$ and $PM_{2.5}$ in inside train were monitored to be higher than those measured in platform. In addition, $PM_{10}$ concentration in both platform and inside train were found to be greatly higher than range of from 35 ${\mu}g/m^3$ to 81${\mu}g/m^3$ in ambient air reported by Ministry of Environment. This study found that there were many inside train in subway 1, 2, 4 line where exceeded 150 ${\mu}g/m^3$ of Korean PM10 standard. The average percentage that exceeded PM10 standard was 83.3% in line 1, 37.9% in line 2 and 63.1% in line 4, respectively. In particular, most of inside train in subway line 1 were over PM10 limit. PM2.5 concentration ranged from 77.7 ${\mu}g/m^3$ to 158.2 ${\mu}g/m^3$, which were found to be greatly higher than ambient air PM2.5 standard promulgated by United States Environmental Protection Agency (US-EPA) (24 hours arithmatic mean : 65 ${\mu}g/m^3$, year average : 15 ${\mu}g/m^3$). The percentage of $PM_{2.5}$ in $PM_{10}$ was 86.2% in platform, 81.7% in inside train, 80.2% in underground and 90.2% in ground. These results indicated that fine particles ($PM_{2.5}$) accounted for most of $PM_{10}$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.331-339
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• 2016

This paper developed a home wellness robot platform to perform the roles in basic health care and life care in an aging society. A robotic platform and a sensory platform were implemented for an indoor wellness service. In the robotic platform, the precise mobility and the dexterous manipulation are not only developed in a symbiotic service-robot, but they also ensure the robot architecture of human friendliness. The mobile robot was made in the agile system, which consists of Omni-wheels. The manipulator was made in the anthropomorphic system to carry out dexterous handwork. In the sensing platform, RF tags and stereo camera were used for self and target localization. They were processed independently and cooperatively for accurate position and posture. The wellness robot platform was integrated in a real-time system. Finally, its good performance was confirmed through live indoor tests for health and life care.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.303-308
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• 2019

The personal health record platform can store and manage medical records, health-monitoring data such as blood pressure and blood sugar, and life logs generated from various wearable devices. It provides services such as international standard-based medical document management, data pattern analysis and an intelligent inference engine, and disease prediction and domain contents. This study aims to construct a foundation for the transmission of international standard-based medical documents by mapping the diagnosis items of a general health examination, special health examination, life logs, health data, and life habits with the international standard terminology systems. The results of mapping with international standard terminology systems show a high mapping rate of 95.6%, with 78.8% for LOINC, 10.3% for SNOMED, and 6.5% when mapped with both LOINC and SNOMED.

• Journal of Electrochemical Science and Technology
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• v.14 no.1
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• pp.51-58
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• 2023

The effective detection of human chorionic gonadotropin (HCG) is considerably important for the clinical diagnosis of both of early pregnancy and nonpregnancy-related diseases. In this work, a simple and sensitive electrochemical sandwich-type immunosensing platform was designed by synthesizing b-cyclodextrin (CD) functionalized graphene (CD/GN) hybrid as simultaneously sensing platform and signal transducer coupled with rhodamine b (RhB) as probe. In brief, GN offers large surface area and high conductivity, while CD exhibits superior host-guest recognition capability, thus the primary antibody (Ab1) of HCG can be bound into the cavities of CD/GN to form stable Ab1/CD/GN inclusion complex; meanwhile, the secondary antibody (Ab2) and RhB can also enter into the cavities, producing RhB/Ab2/CD/GN complex. Then, by using Ab1/CD/GN as sensing platform and RhB/Ab2/CD/GN as signal transducer (in which RhB was signal probe), a simple sandwich-type immunosensor was constructed. Under the optimum parameters, the designed immunosensor exhibited a considerable low analytical detection of 1.0 pg mL^-1 and a wide linearity of 0.002 to 10.0 ng mL^-1 for HCG, revealing the developed sandwich-type electrochemical immunosensing platform offered potential real applications for the determination of HCG.