• Title/Summary/Keyword: Smart hospital

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The reliability test of a smart insole for gait analysis in stroke patients

  • Seo, Tae-Won;Lee, Jun-Young;Lee, Byoung-Hee
    • Journal of Korean Physical Therapy Science
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    • v.29 no.1
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    • pp.30-40
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    • 2022
  • Background: This study analyzed the reliability of smart guides for gait analysis in patients with stroke. Design: Cross-sectional study. Methods: The participants of the study were 30 patients with stroke who could walk more than 10 m and had an MMSE-K test score of ≥24. Prior to the experiment, the subjects or their guardians entered their demographic characteristics including gender, age, height, weight into the prepared computer. The experiment was conducted in a quiet, comfortable, and independent location, and the patient was reminded of the equipment description, precautions, and safety rules for walking. A smart insole was inserted into the shoes of the patients and the shoes were put on before the patients walked three times on the 5-m gait analysis system mat installed in the laboratory. Results: The reliability of the equipment was compared with that of the gait analysis system, and the results of this study are as follows: among the gait analysis items, velocity had an ICC=0.982, the cadence had an ICC=0.905, the swing phase on the side of the gait cycle had an ICC=0.893, the swing phase on the side of the gait had an ICC=0.839, that on the non-affected side had an ICC=0.939, single support on the affected side had an ICC=0.812, and support on the non-affected side had an ICC=0.767. Conclusion: The results of this study indicate no statistical difference between the smart insole and the gait analysis system. Therefore, it is believed that real-time gait analysis through smart insole measurement could help patients in rehabilitation.

Design and Implementation of HL 7-based Real-time Data Communication for Mobile Clinical Information System

  • Choi Jinwook;Yoo Sooyoung;Chun Jonghoon
    • Journal of Biomedical Engineering Research
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    • v.26 no.2
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    • pp.65-71
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    • 2005
  • The main obstacles for adopting a mobile health information system to existing hospital information system are the redundancy of clinical data and the additional workload for implementing the new system. To obtain a seamless communication and to reduce the workload of implementation, an easy and simple implementation strategy is required. We propose a mobile clinical information system (MobileMed) which is specially designed for the easy implementation. The key elements of MobileMed are a smart interface, an HL7 message server, a central clinical database (CCDB), and a web server. The smart interface module transfers the key information to the HL7 message server as new clinical tests data is recorded in the existing laboratory information system. The HL7 message server generates the HL7 messages and sends them to the CCDS. As a central database the CCDS collects the HL7 messages and presents them to the various mobile devices such as PDA. Through this study we might conclude that the architecture for the mobile system will be efficient for real-time data communication, and the specially designed interface will be an easy tool for implementing the mobile clinical information system.

The Design of mBodyCloud System for Sensor Information Monitoring in the Mobile Cloud Environment

  • Park, Sungbin;Moon, Seok-Jae;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • v.5 no.1
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    • pp.1-7
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    • 2016
  • Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS (DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

Smart Device System for Strabismus Diagnosis (사시 진단을 위한 스마트 디바이스 시스템)

  • Yoon, Woong Bae;Oh, Ji Eun;Moon, Hyo Won;Yang, Hee Kyung;Hwang, Jeong Min;Park, Jong Il;Kim, Kwang Gi
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1538-1543
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    • 2016
  • Strabismus is a non-aligned state;the visual axis of each eye is not directed toward the same direction at the same time. Clinically, the degrees of strabismus are measured by prism cover test, corneal reflex test (Hirschberg test), prism reflex test (Krimsky prism test), But corneal reflex test and prism reflex test is a possibility that errors occur. we suggest a computer-aided diagnosis for strabismus. We made a mobile application to measure angles of strabismus. For 34 patients, we tested our application. The result of comparing between two methods, It showed a difference 7 Prism Diopter(PD). Our application gives strabismus angles just using a camera and a smart device. Therefore, it can reduce the cost and make the diagnosis of strabismus accurate.

Region of Interest Localization for Bone Age Estimation Using Whole-Body Bone Scintigraphy

  • Do, Thanh-Cong;Yang, Hyung Jeong;Kim, Soo Hyung;Lee, Guee Sang;Kang, Sae Ryung;Min, Jung Joon
    • Smart Media Journal
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    • v.10 no.2
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    • pp.22-29
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    • 2021
  • In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

The Comparative Study on the Satisfaction of the Physical Therapy facilities in the front Military hospitals and Divisions

  • Park, Giwan;Jung, Jihye;Lee, Seungwon
    • Physical Therapy Rehabilitation Science
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    • v.10 no.2
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    • pp.217-224
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    • 2021
  • Objective: This study is about the physical therapy facilities and environmental and service satisfaction of patients visiting in the front military hospitals and divisions. Design: Survey study Methods: Prior to this survey, 28 users of the front division and military hospital were surveyed in advance to verify the survey through reliability analysis. For this survey, 1,300 questionnaires were distributed to seven frontline divisions and three military hospitals, of which 578 military hospitals and 479 divisions were collected. Among them, 1,042 pieces of data were used for the analysis, excluding 15 questionnaires that exceeded the research period of the division. Analysis methods used Cronbach-α and multiple regression for mean comparison analysis, factor analysis for validation, and reliability verification to verify differences between groups. Results: As a result of the satisfaction analysis, the division's stage satisfaction was higher than that of military hospitals, and as a result of analyzing the satisfaction items by sector, accessibility, re-visit doctors, and professionalism accounted for a large portion in the field of physical therapy services. As a result of a regression analysis, the factors that affect the satisfaction of physical therapy had the greatest impact on facility and environmental satisfaction, and expertise in physical therapy services. Conclusions: In the future, it will be necessary to improve the comfort of the physical therapy room and the expertise of physical therapy in order to improve the satisfaction level of physical therapy at military medical facilities.

Construction of Untact Monitoring System for image quality management of medical imaging devices (의료영상진단 기기 영상 품질 관리를 위한 비대면 모니터링 시스템 구축)

  • Kim, Ji-Eon;Lim, Dong Wook;Ju, Yu Yeong;No, Si-Hyeong;Lee, Chung Sub;Moon, Chung-Man;Kim, Tae-Hoon;Jeong, Chang-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.45-46
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    • 2021
  • 의료영상이란 의료영상장비로부터 DICOM이라는 의료영상표준에 따라 저장되며, 의료영상관리 시스템인 PACS를 통해 관리된다. 이러한, 의료영상장비 ICT기술이 융합되어 급격하게 발전되고 있으며 다양한 의료영상장치가 개발되어지고 있다. 하지만, 기술력은 높아지고 있으나 개발된 의료영상장비로부터 촬영된 영상품질관리에 대한 문제점이 제기되고 있다. 이와 관련하여 다기관의 의료영상장비 개발과 해당 기기로부터 수집된 의료영상에 대한 품질을 관리할 필요성이 증가하고 있다. 따라서 코로나 19와 같은 상황에서 의료기기 개발 지원과 관리를 비대면 관리서비스 시스템 개발과 의료영상장치 개발 정도를 관리할 수 있을 뿐만 아니라 의료영상에 대한 품질까지 모니터링하여 및 개선 할 수 있는 시스템을 제안하고자 한다.

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Pet Disease Prediction Service and Integrated Management Application (반려동물 질병예측서비스 및 통합관리 어플리케이션)

  • Ki-Du Pyo;Dong-Young Lee;Won-Se Jung;Oh-Jun Kwon;Kyung-Suk Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.133-137
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    • 2023
  • In this paper, we developed a 'comprehensive pet management application' that combines pet AI diagnosis, animal hospital search, smart household accounts, and community functions. The application can solve the inconvenience of users who have to use multiple functions as separate applications, and can easily use pet AI diagnosis services through photos, provides animal hospital information using crawling, finds nearby animal hospitals, and supports smart households that can scan receipts using OCR text extraction techniques. By using this application, information necessary for raising pets such as health and consumption details of pets can be managed in one system.

Development of Smart App to Support the Paramedics Activities (구급 활동을 지원하는 스마트 앱 개발)

  • Eum, Sang-Hee;Kim, Gwang-Nyeon;Kim, Gi-Ryon;Nam, Jae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.1
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    • pp.49-53
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    • 2018
  • In the recent years, an attempts have been made to convergence medical technology and IT technology to overcome the limitations of temporal, spatial in the medical technology applications. Emergency care is primarily intended to provide primary care and stabilization to the patient, thereby saving the patient's life and minimizing the risk until hospital care. In this study, we developed an application S/W to support emergency services for emergency medical services. Paramedics can easily keep a log of emergency activities and monitor the patient's condition in real time with this application S/W on smart devices. In particular, medical signals and information emergency status of emergency patients can be measured or photographs of affected areas can be taken. In addition, this report can be delivered to remote medical doctors for rapid emergency measures and immediate hospital response.