• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.1
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• pp.46-53
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• 2012

The WBAN technology means a short distance wireless network which provides each device's interactive communication by connecting devices inside and outside of body located within 3 meters. Standardization on the physical layer, data link layer, network layer and application layer is in progress by IEEE 802.15.6 TG BAN. It is necessary to develop the WBAN core technology that sensor node device, WBAN middleware and WBAN application service for WBAN environment. In this paper we designed the medical message structure and implemented medical application for purpose of vital information reliability. The message structure was proposed for WBAN environment and application can be check biometric information from BN on smart device through WBAN gateway.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.11
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• pp.1330-1338
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• 2011

Social activities of the elderly have been increasing as our society progresses toward an aging society. As their activities increase, so does the occurrence of falls that could lead to fractures. Falls are serious health hazards to the elderly. Therefore, development of a device that can detect fall accidents and prevent fracture is essential. In this study, we developed a portable fall detection system for the fracture prevention system of the elderly. The device is intended to detect a fall and activate a second device such as an air bag deployment system that can prevent fracture. The fall detection device contains a 3-axis acceleration sensor and two 2-axis tilt sensors. We measured acceleration and tilt angle of body during fall and activities of daily(ADL) living using the fall detection device that is attached on the subjects'. Moving mattress which is actuated by a pneumatic system was used in fall experiments and it could provide forced falls. Sensor data during fall and ADL were sent to computer and filtered with low-pass filter. The developed fall detection device was successful in detecting a fall about 0.1 second before a severe impact to occur and detecting the direction of the fall to provide enough time and information for the fracture preventive device to be activated. The fall detection device was also able to differentiate fall from ADL such as walking, sitting down, standing up, lying down, and running.

• Journal of Biomedical Engineering Research
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• v.45 no.3
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• pp.109-117
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• 2024

We developed a device that integrates digital otoscope and stethoscope for telemedicine. The integrated device was utilized for the collection of tympanic membrane images and cardiac auscultation data. Data accumulated on the platform server can support real-time diagnosis of heart and eardrum diseases using artificial intelligence. Public data from Kaggle were used for deep learning. After comparing with various deep learning models, the MobileNetV2 model showed superior performance in analyzing tympanic membrane data, and the VGG16 model excelled in analyzing cardiac data. The classification algorithm achieved an accuracy of 89.9% for eardrums data and 100% for heart sound data. These results demonstrate the possibility of diagnosing diseases without the limitations of time and space by using this platform.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.411-420
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• 2008

This paper implemented the u-Healthcare Context Information System (HCIS) supporting ubiquitous healthcare by using location, health and titrating environment information collected from sensors/devices equipped in home for healthcare home service. The HCIS is based on the Distributed Object Group Framework (DOGF), a management model which can customize distributed resources, and manages various context information, applications and devices as a group in healthcare home environment, as one more logical units. Also, this system provides continuous healthcare multimedia service considering a resident's location using Mobile Proxy, and the healthcare context information through Context Provider to a resident in home. For verifying execution of our system, we implemented the seamless multimedia service based on resident's location and the prescription/advice and schedule notification/alarm service as healthcare applications in home. And we showed the executing results of healthcare home service by using service device existed in the residential space on which the resident is located according to the healthcare scenario.

• Convergence Security Journal
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• v.13 no.4
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• pp.101-108
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• 2013

Sensor network configurations are for a specific situation or environment sensors capable of sensing, processing the collected information processors, and as a device is transmitting or receiving data. It is presently serious that sensor networks provide many benefits, but can not solve the wireless network security vulnerabilities, the risk of exposure to a variety of state information. u-Healthcare sensor networks, the smaller the sensor node power consumption, and computing power, memory, etc. restrictions imposing, wireless sensing through the kind of features that deliver value, so it ispossible that eavesdropping, denial of service, attack, routing path. In this paper, with a focus on sensing of the environment u-Healthcare system wireless security vulnerabilities factors u-Healthcare security framework to diagnose and design methods are presented. Sensor network technologies take measures for security vulnerabilities, but without the development of technology, if technology is not being utilized properly it will be an element of threat. Studies suggest that the u-Healthcare System in a variety of security risks measures user protection in the field of health information will be used as an important guide.

• 한국정보통신설비학회:학술대회논문집
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• 2007.08a
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• pp.381-385
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• 2007

As development of wireless communication technology has promoted mobility, Location Based Service (LBS) became embossed. The LBS is a service to recognize and utilize a location of a person or a thing through a device that ensures mobility based on wireless communication network. This paper thus researches on Healthcare Method to respond to emergency rapidly by recognizing a patient's location with the LBS. The LBS also provides location information of a user as well as remote management of organism data such as ECG data or pulse, which is transferred to a hospital or an emergency room.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.102-103
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• 2021

With the development of medical IT technology, personalized medical services are increasing in the silver industry era through the development of smart healthcare business. Therefore, in this paper, using various sensors in the Arduino environment, we implemented a finger modeling that can perform joint rehabilitation exercise that can provide personalized smart healthcare services. By measuring the activity of each individual finger joint using an Arduino-based flex sensor, it is intended to be used for personalized rehabilitation exercise in the smart healthcare field in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4021-4030
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• 2015

Pulse wave is the physiological responses through the autonomic nervous system such as ECG. It is relatively convenient because it can measure the signal just by applying a sensor on a finger. So, it can be usefully employed in the field of U-Healthcare. The objects of this study are acquiring the PPG (Photoplethysmography) one of the way of measuring the pulse waves in non-invasive way using the CMOS image sensor on a smartphone camera, developing the portable system judging stressful or not, and confirming the applicability in the field of u-Healthcare. PPG was acquired by using image data from smartphone camera without separate sensors and analyzed. Also, with that image signal data, HRV (Heart Rate Variability) and stress index were offered users by just using smartphone without separate host equipment. In addition, the reliability and accuracy of acquired data were improved by developing additional hardware device. From these experiments, we can confirm that measuring heart rate through the PPG, and the stress index for analysis the stress degree using the image of a smartphone camera are possible. In this study, we used a smartphone camera, not commercialized product or standardized sensor, so it has low resolution than those of using commercialized external sensor. However, despite this disadvantage, it can be usefully employed as the u-Healthcare device because it can obtain the promising data by developing additional external device for improvement reliability of result and optimization algorithm.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.285-290
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• 2014

In these days the patient can be easy to see the treatment results at home without going directly to hospital. Despite the many advantages that the patient is got optimum service timely, the currently used personal healthcare devices have no compatibility because the manufacturer use the proprietary software and hardware protocols. For these issues, standardization is required between the set-top box and the individual healthcare devices. In this paper, we designed the healthcare set-top box possible to biometric data transmission by using a standard IEEE P11073 between the device and the set-top box. Because the set-top box using IEEE P11073 standardization can transfer data independently, we are expected to make it contribute significantly to the healthcare business.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.545-547
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• 2005

As information technology has been developed rapidly, there is growing online medicine service through forming as information technology and medicine information are amalgamated in the medical service field. That acquires real time biological information of patient through a communication network which could be applied into e-healthcare system for a diagnosis and treatment of patient. Because of these reasons, it is necessary for the e-healthcare system to develop. But,the facilities existing in the medical service field could not be used to an on line environment because of the limitation of the time and space. To solve the point of such issue, we propose an auto color analysis system that is a precise and quick to measure health states of user, and the device has the important merit that it is very low cost. Also, the hospital web database and the monitering webpage for a diagnosis have been made for an e-healthcare system.