• Journal of Sensor Science and Technology
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• v.27 no.3
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• pp.186-191
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• 2018

Smart textile industries have been precipitously developed and extended to electronic textiles and wearable devices in recent years. In particular, owing to an increasingly aging society, the elderly healthcare field has been highlighted in the smart device industries, and pressure sensors can be utilized in various elderly healthcare products such as flooring, mattress, and vital-sign measuring devices. Furthermore, elderly healthcare products need to be more lightweight and flexible. To fulfill those needs, textile-based pressure sensors is considered to be an attractive solution. In this research, to apply a textile to the second layer using a pressure sensing device, a novel type of conductive textile was fabricated using vapor phase polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT). Vapor phase polymerization is suitable for preparing the conductive textile because the reaction can be controlled simply under various conditions and does not need high-temperature processing. The morphology of the obtained PEDOT-conductive textile was observed through the Field Emission Scanning Electron Microscope (FESEM). Moreover, the resistance was measured using an ohmmeter and was confirmed to be adjustable to various resistance ranges depending on the concentration of the oxidant solution and polymerization conditions. A 3-layer 81-point multi-pressure sensor was fabricated using the PEDOT-conductive textile prepared herein. A 3D-viewer program was developed to evaluate the sensitivity and multi-pressure recognition of the textile-based multi-pressure sensor. Finally, we confirmed the possibility that PEDOT-conductive textiles could be utilized by pressure sensors.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.747-748
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• 2010

• The Journal of the Convergence on Culture Technology
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• v.1 no.4
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• pp.107-111
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• 2015

Humans must restore tired bodies and minds during sleep. Sleep as much as eating a meal many people looking for a hospital can not sleep, but a matter of course. The smart phone is loaded in the most recent studies it has been conducted to provide a service to the patient or medical personnel U-healthcare in the field of smart phone-based medical applications as with a variety of sensors, including an acceleration sensor. In this paper, the aim of providing an Android-based applications to use a variety of sensors incorporated in the popularity of smart phones to induce normal water flow to recognize the user's action.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.107-113
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• 2016

In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

• The Journal of Korea Robotics Society
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• v.16 no.2
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• pp.172-178
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• 2021

The COVID-19 pandemic has been reshaping the world by accelerating non-contact services and technologies in various domains. Hospitals as a healthcare system lie at the center of the dramatic change because of their fundamental roles: medical diagnosis and treatments. Leading experts in health, science, and technologies have predicted that robotics and artificial intelligence (AI) can drive such a hospital transformation. Accordingly, several government-led projects have been developed and started toward smarter hospitals, where robots and AI replace or support healthcare personnel, particularly in the diagnosis and non-surgical treatment procedures. This article inspects the remaining element of healthcare services, i.e., surgical treatment, focusing on evaluating whether or not currently available laparoscopic surgical robotic systems are sufficiently preparing for the era of post-COVID-19 when contactless is the new normal. Challenges and future directions towards an effective, fully non-contact surgery are identified and summarized, including remote surgery assistance, domain-expansion of robotic surgery, and seamless integration with smart operating rooms, followed by emphasis on robot tranining for surgical staff.

• 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 the Semiconductor & Display Technology
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• v.11 no.3
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• pp.51-56
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• 2012

In this paper, we propose a telemedicine system based ECG data using a bio-signal meter and a smart device for treating faraway patients. This system is composed of a patch-shaped portable bio-signal meter, patient's smart device application, and doctor's PC software. Using these components, doctors and patients can do telemedicine. First, a patient measures his own ECG signal with a bio-signal meter and send the data to a doctor using a smart device application. Then, the doctor checks the ECG data, and make and send a diagnosis chart to web server. Likewise, doctors and patients can be offered a medical environment without time and space restraints. Applying this system to real medical system can improve the problem of low accessibility and efficiency and also can reduce medical expenses.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.419-426
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• 2021

With the development of the information and communication technology, the smart hospital has become a new trend in a healthcare industry. This study reviewed the concept, key technologies, applications, and future challenges of a smart hospital, and the user-centered strategies for designing a smart hospital. In smart hospitals, digitally enabled clinical staff will be able to produce better patient outcomes by delivering a more integrated patient-centered care with an efficient manner in connected facilities systems. However, to promote a successful patient-centered smart hospital environment in the future, various obstacles regarding cost, technology, security, and standards should be overcome. It is also necessary for patients and medical personnel to be involved as service users.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.277-278
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• 2008

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.10
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• pp.43-52
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• 2011

In this paper, we propose the architecture of the policy-based emergency bio data transmission for the smart healthcare service. the medical staff can quickly and accurately monitor the emergency bio data of the remote patient through the proposed architecture. The proposed system consists of three parts: IEEE 11073-based agents and managers performing the aggregation function and transmission function of the bio data; the emergency management server performing the converting function between IEEE 11073 and HL7 and auto-diagnosis function of the policy-based; HL7 medical system based on HL7. Finally, by implementing the proposed system, we shows that the aggregation of the bio data and management of the emergency bio data in the smart healthcare service are possible.