• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.33-40
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• 2008

The TMO may contain two types of methods, time-triggered methods(also called the spontaneous methods of SpMs) which are clearly separated from the conventional service methods (SvMs). The SpM executions are triggered upon design time whereas the SvM executions are triggered by service request message from clients. In this paper, we describes the application environment as the patient monitor telemedicine system with TMO structure. Vital sign information web viewer systems is also the standard protocol for medical image and transfer. In order to embrace new technologies as telemedicine service, it is important to develope the standard protocol between different systems in the hospital, as well as the communication with external hospital systems. It is able to apply to remote medical examination and treatment. Through the proper data exchange and management of patient vital sign information, real time vital sign information management will offer better workflow to all hospital employee.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1485-1491
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• 2019

As the type and size of vital signs become extensive at the moment lately, a research is actively progressing to define vital signs as big data and analyze it. We generally use a similar method of processing big data on social network as a way to treat vital signs as big data. Vital Sign Big Data should be extracted as feature data, stored separately, and analyzed with various analytical instruments. In other words, it should ensure interoperability and compatability of data, and the index expression in analytical tools should be concise. For this end, I defined the vital sign as the standard meta-model base of HL7 in this dissertation, and I propose a model for analyzing vital signs using OCL, the OMG's standard mathematical specification language. In addition, the proposed model can be confirmed the applicability by figuring out the consumption of calories using ECG data.

• Journal of information and communication convergence engineering
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• v.4 no.2
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• pp.67-70
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• 2006

A distributed healthcare monitoring system prototype for clinical and trauma patients was developed, using wireless sensor network node. The proposed system aimed to measure various vital physiological health parameters like ECG and body temperature of patients and elderly persons, and transfer his/her health status wirelessly in Ad-hoc network to remote base station which was connected to doctor's PDA/PC or to a hospital's main Server using wireless sensor node. The system also aims to save the cost of healthcare facility for patients and the operating power of the system because sensor network is deployed widely and the distance from sensor to base station was shorter than in general centralized system. The wireless data communication will follow IEEE 802.15.4 frequency communication with ad-hoc routing thus enabling every motes attached to patients, to form a wireless data network to send data to base-station, providing mobility and convenience to the users in home environment.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.53-61
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• 2020

Recently, as the uncontact service is activated in earnest due to the Corona 19 virus, the necessity of system development to provide non-face-to-face contact remote medical service has increased. In this study, we propose a smart healthcare system, Rm_She(Remote Medical Smart Healthcare System). Rm_She can collect and manage various vital signs information by connecting various healthcare products that detect bio-signals based on IoT to one application. The health check app (HC_app) is used to connect vital sign measurement devices to a wireless LAN and receive vital sign values from the HC_app. Then, the vital signs are output to the user on the smartphone, and the corresponding information is transmitted to the healthcare management server. The healthcare server receives the measured values and stores them in a database, and the stored measured values are provided as a web service so that medical staff can remotely monitor them in real time.

• Smart Media Journal
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• v.3 no.4
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• pp.35-40
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• 2014

As small sized bio-sensors and digital yarns are developed, digital wear measuring vital signs can be used for individuals' health, the elderly care and sports activities. This paper discusses a database structure for analyzing stress state, pulses, positions, exercise amount of user based on vital signs measured for 24 hours measured by the wear and GPS information, and a storage for storing XML documents following a standard HL7 meta-model. By analyzing the stored information, the system identifies the stress state and exercise amount of users. Pulses, exercise intensity and emergency situations can be also detected by the system in real time. This paper discusses the implementation of a system enabling to acquire and analyze vital signals to understand user behavior patterns.

• Journal of electromagnetic engineering and science
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• v.12 no.1
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• pp.37-44
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• 2012

This paper describes a compact and novel wireless vital sign sensor at 2.4 GHz that can detect heartbeat and respiration signals. The oscillator circuit incorporates a planar resonator, which functions as a series feedback element as well as a near-field radiator. The periodic movement of a human body during aerobic exercise could cause an input impedance variation of the radiator within near-field range. This variation results in a corresponding change in the oscillation frequency and this change has been utilized for the sensing of human vital signs. In addition, a surface acoustic wave (SAW) filter and power detector have been used to increase the system sensitivity and to transform the frequency variation into a voltage waveform. The experimental results show that the proposed sensor placed 20 mm away from a human body can detect the vital signs very accurately.

• The Korean Journal of Food And Nutrition
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• v.17 no.3
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• pp.278-285
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• 2004

The effects of water, rye flour and vital gluten on the sensory properties of bread were studied by response surface methodology and sensory evaluations. A response surface model was used to evaluate the effects observed and to determine the optimum variations for rye bread. The study included 12 combinations of the following independent variables: Water(57, 62, 67%), Rye flour(0, 10, 30, 50%), and Vital gluten(0, 1, 3, 5%). Bread quality attributes determined were specific volume, color, texture, appearance, taste, chewiness, moisture, overall. Rye bread specific volume, sensory evaluation values and Instrumental testing results were significantly affected by variety (water, rye flour and vital gluten). Rye bread with a high specific volume was produced using water 67%, rye flour 10% and vital gluten 3%. Whereas, rye breads with a high overall sensory evaluation were water 62 %, rye flour 10 % and vital gluten 5%. And Specific volume predicted and overall preference also was shown high. It was shown that the experimental design used provided information about the rye bread of variation of water, rye flour and vital gluten and can be a useful supplement to standardized and optimized formulas in rye bread making. The results suggest that water, rye flour, vital gluten can be combined in rye bread making at various levels, contributing to optimize the functional properties of rye bread. These result represents that breads loaf volume related to directly consumer preference.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.808-817
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• 2016

Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.3
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• pp.347-358
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• 2016

The paper presents a software architecture for a wearable device to measure vital signs with the real-time user's behavior recognition. Taking vital signs with a wearable device help user measuring health state related to their behavior because a wearable device is worn in daily life. Especially, when the user is running or sleeping, oxygen saturation and heart rate are used to diagnose a respiratory problems. However, in measuring vital signs, continuosly measuring like the conventional method is not reasonable because motion artifact could decrease the accuracy of vital signs. And in order to fix the distortion, a complex algorithm is not appropriate because of the limited resources of the wearable device. In this paper, we proposed the software architecture for wearable device using a simple filter and the acceleration sensor to recognize the user's behavior and measure accurate vital signs with the behavior state.

• Korean Journal of Adult Nursing
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• v.15 no.2
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• pp.183-192
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• 2003

Purpose: This study was performed to validate the linkage between nursing diagnoses and nursing interventions by identifying performance and importance of nursing interventions linked to five NANDA nursing diagnoses. Method: Data was collected from 153 staff and head nurses working in 4 hospitals in K city. The results were analyzed using mean, SD and spearman correlation for ranking correlation. Result: The most importantly considered interventions were Medication Administration (IV) for pain, Pain Management for Constipation, Intravenous (IV) Insertion for Diarrhea, treatment, Vital Sign Monitoring for Hyperthermia, and Vital Sign Monitoring for Infection risk. The most frequently performed interventions was Medication Administration (IV) for Pain, Fluid Management for Constipation, Intravenous (IV) Insertion for Diarrhea, Vital Sign Monitoring for Hyperthermia, and Vital Sign Monitoring for Infection: Risk for. The rank correlations between importance and performance were highest in Diarrhea and lowest in Constipation. Conclusion: The above findings can be used to develop a nursing information system which can be used to facilitate documenting the nursing process, and a nursing information system developed by this research process will ultimately contribute to identifying nurses contribution to patient health.