• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.785-790
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• 2020

In addition to the Fourth Industrial Revolution, interest and research on medical information are actively being conducted. As the technologies using short-range low-power wireless communication are applied in connection with mobile devices, the utilization of them in medical institutions is gradually increasing, and the demand of customers who want to receive high-quality services using IT technology is increasing in the medical environment according to the development and change of technology. In addition, modern people who are familiar with smart equipment and consider the value of time is important do not waste their time through rapid service. In addition, as the recent epidemics including Coronavirus Disease 2019 (COVID-19) have become popular, interest in untapped (non-face-to-face) has increased, and social distance is needed as a preliminary measure against infectious diseases. For this reason, this study studied the untapped-based medical reception system to provide quick service to patients using short-range low-power wireless communication and to provide safer and more comfortable environment for medical staff and visitors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1239-1244
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• 2013

In the field of clinical medicine and research, the analysis of such as protein and DNA at the molecular level and even at the cell level are necessary for disease diagnosis and treatment. In many cases, a real time image of samples is needed for the accurate analysis and manipulation of samples since experimental samples are degenerated with time. In this research, a three-dimensional fluorescence microscope device was developed for taking images of protein and DNA inside a single cell and the server-client based image analysis system was made for an integrated management of the real-time images taken from the microscope device. The system consists of a fluorescent measurement device, the associated software and a client program on smartphone. The developed system allows doctors or experimental managers to receive and look at the real-time experimental images taken from the samples of patients anywhere in the emergency, to analyze results and to instantly diagnose the disease and to transfer the results to the patients. As a result, the system is able to be utilized in the implementation of ubiquitous health as well.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.4
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• pp.40-50
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• 2019

In recent years, it is important to visualize an accurate human body model for the low-end system in the medical imaging field where augmented reality technology and virtual reality technology are used. Decreasing the geometry of a model causes a difference from the original shape and considers the difference as an error. So, the error should be minimized while reducing geometry. In this study, the organ areas of a human body in the tomographic images such as CT or MRI is segmented and 3D geometric model is generated, thereby implementing the reconstruction method of multiple resolution level-of-detail model. In the experiment, a virtual reality platform was constructed to verify the shape of the reconstructed model, targeting the spine area. The 3D human body model and patient information can be verified using the virtual reality platform.

• Physical Therapy Korea
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• v.26 no.1
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• pp.8-18
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• 2019

Background: Numerous studies have used smartphone applications to measure the range of motion in different joints. In addition, studies measuring the active range of motion (AROM) of the craniocervical joint have revealed high reliability. However, the subjects in these studies were all healthy subjects. No study has yet been conducted to measure the inter-rater reliability for the AROM of the craniocervical joint in stroke patients. Objects: The purpose of this study was to investigate the inter-rater reliability of the AROM of the craniocervical joint using a smartphone. Methods: The participants included 21 subjects who had strokes (17 males and 4 females). Two raters evaluated six types of craniocervical AROM, including flexion, extension, lateral flexion to the hemiplegic side, lateral flexion to the non-hemiplegic side, rotation to the hemiplegic side, and rotation to the non-hemiplegic side, using a goniometer and a smartphone to investigate inter-rater reliability. The inter-rater reliability was analyzed by intraclass correlation coefficients (ICC). Results: The inter-rater reliability of the smartphone was good for extension, lateral flexion to the hemiplegic side, lateral flexion to the non-hemiplegic side, and rotation to the hemiplegic side [ICC(2,k)=.86~.88] and excellent for flexion [ICC(2,k)=.95]. The inter-rater reliability for rotation to the non-hemiplegic side was moderate [ICC(2,k)=.72]. Conclusion: These results suggest that the smartphone offers high inter-rater reliability for measurements of the craniocervical AROM in patients with stroke.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.1
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• pp.151-161
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• 2019

PURPOSE: To investigate the validity of a smartphone application for post-stroke daily living activity management based on an evaluation by users and experts. METHODS: The study design adhered to the analysis, design, development, implementation, and evaluation ADDIE (Analysis-Design-Development-Implement-Evaluation) model. We downloaded the application onto the smartphones of 33 users and 30 experts, taught them how to use it, and asked them to use the application for four weeks. The users' daily lives before and after using the application were compared based on the K-MBI (Korean Version of Modified Barthel Index) to evaluate the usability of the application. For the expert group, we investigated the content validity and reliability of the application and evaluated the usability of the application. Data were analyzed using the SPSS 21.0 software. Users' general characteristics and experts' evaluation scores were analyzed using descriptive statistics. Content validity was tested using the content validity index (CVI), and reliability was tested with Cronbach's alpha. Users' K-MBI scores before and after using the application were compared with the paired sample t-test. RESULTS: Users gave an average rating of 2.93 out of 4 for the application for managing the daily lives of stroke patients, while experts gave an average score of 3.14. With regard to the K-MBI scores, only the dressing score improved significantly (p<.005) after using the application, and scores for other categories slightly improved but not to significant levels. CONCLUSION: The results of this study suggest that the STROKECARE application is usable and could help stroke patients manage their daily lives.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.27-32
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• 2019

Along with the growth of u-Healthcare, we propose a security enhancement based on network separation for CloudHIS with for handling healthcare information to cope with cyber attack. To protect against all security threats and to establish clear data security policies, we apply desktop computing servers to cloud computing services for CloudHIS. Use two PCs with a hypervisor architecture to apply physical network isolation and select the network using KVM switched controller. The other is a logical network separation using one PC with two OSs, but the network is divided through virtualization. Physical network separation is the physical connection of a PC to each network to block the access path from both the Internet and the business network. The proposed system is an independent desktop used to access an intranet or the Internet through server virtualization technology on a user's physical desktop computer. We can implement an adaptive solution to prevent hacking by configuring the CloudHIS, a cloud system that handles medical hospital information, through network separation for handling security enhancement.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.117-124
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• 2021

This study is a study to recognize hand movements using a neural network for wrist rehabilitation. The rehabilitation of the hand aims to restore the function of the injured hand to the maximum and enable daily life, occupation, and hobby. It is common for a physical therapist, an occupational therapist, and a security tool maker to form a team and approach a doctor for a hand rehabilitation. However, it is very inefficient economically and temporally to find a place for treatment. In order to solve this problem, in this study, patients directly use smart devices to perform rehabilitation treatment. Using this will be very helpful in terms of cost and time. In this study, a wrist rehabilitation dataset was created by collecting data on 4 types of rehabilitation exercises from 10 persons. Hand gesture recognition was constructed using a neural network. As a result, the accuracy of 93% was obtained, and the usefulness of this system was verified.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.4
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• pp.195-201
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• 2020

This study studied scoliosis, one of the most common modern diseases caused by lifestyle patterns of office workers sitting in front of computers all day and modern people who use smart phones frequently. Scoliosis is a typical complication that takes more than 80% of the nation's total population at least once. X-ray are used to test for these complications. X-ray, a non-destructive testing method that allows scoliosis to be easily performed and filmed in various areas such as the chest, abdomen and bone without contrast agents or other instruments. We uses NI DAQ to miniaturize digital X-ray imaging devices and image intensifier in self-shielding housing with Vision Assistant for drawing lines to the top and the bottom of the spine to acquire angles, i.e. curvature in real-time. In this way, the research was conducted to see scoliosis patients and their condition easily and to help rapid treatment for solving the problem of posture correction in modern people.

• Journal of Platform Technology
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• v.10 no.1
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• pp.29-34
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• 2022

The emergence of new diseases such as the Covid 19 pandemic that occurs in the 21st century and the occurrence of health abnormalities according to the busy daily life of modern people are increasing. Accordingly, the importance of health care management and data-based health management is being highlighted, and in particular, interest in personal health management data based on personal health care data of patients is rapidly increasing. In this study, to solve the difficult problems of personal health management, we developed a personal health care platform incorporating IT for self-diagnosis and solution and developed an application that measures bio-signals generated in the human body and transmits them to the platform. A health management system was established. Through this, not only the health care of modern people, but also the psychological and emotional care support needs through psychological and emotional monitoring of the developmentally disabled and the vulnerable who have difficulty in expressing their opinions are to be addressed. In addition, the overall health and living environment data of the individual was integrated to develop an optimized medical and health management service for the individual.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.91-107
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• 2023

Lean startup is a concept that combines the words "lean," meaning an efficient way of running a business, and "startup," meaning a new business. It is often cited as a strategy for minimizing failure in early-stage businesses, especially in software-based startups. By scrutinizing the case of a startup L, this study suggests that lean startup methodology(LSM) can be useful for hardware and manufacturing companies and identifies ways for early startups to successfully implement LSM. To this end, the study explained the core of LSM including the concepts of hypothesis-driven approach, BML feedback loop, minimum viable product(MVP), and pivot. Five criteria to evaluate the successful implementation of LSM were derived from the core concepts and applied to evaluate the case of startup L . The early startup L pivoted its main business model from defecation alert system for patients with limited mobility to one for infants or toddlers, and finally to a smart bottle for infants. In developing the former two products, analyzed from LSM's perspective, company L neither established a specific customer value proposition for its startup idea and nor verified it through MVP experiment, thus failed to create a BML feedback loop. However, through two rounds of pivots, startup L discovered new target customers and customer needs, and was able to establish a successful business model by repeatedly experimenting with MVPs with minimal effort and time. In other words, Company L's case shows that it is essential to go through the customer-market validation stage at the beginning of the business, and that it should be done through an MVP method that does not waste the startup's time and resources. It also shows that it is necessary to abandon and pivot a product or service that customers do not want, even if it is technically superior and functionally complete. Lastly, the study proves that the lean startup methodology is not limited to the software industry, but can also be applied to technology-based hardware industry. The findings of this study can be used as guidelines and methodologies for early-stage companies to minimize failures and to accelerate the process of establishing a business model, scaling up, and going global.