• Journal of the Institute of Electronics Engineers of Korea CI
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• 제45권5호
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• pp.155-161
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• 2008

An automated healthcare monitoring is demand of time, lot of problems occurring just because of less monitoring of patients health condition on time. In this paper an embedded healthcare service is proposed by an iSCSI protocol on an automated multi-agent coordination by resource-constrained devices controlled system for healthcare service. The coordination between the resource constrained devices (e.g. PDA, SmartPhone, Tablet PC), and automated agents are maintained by a two-way handshaking mode iSCSI protocol. The automated health care control could be useable, and beneficial in the repetitive way. A fully centralized control is not applicable for this kind of approach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.279-281
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• 2017

In the recent years, An attempts have been made to convergence medical technology and IT technology to overcome the limitations of temporal, spatial, and medical technology applications. In this study, we established an environment for emergency information services. The developed smart application for emergency rescue activities support can easily identify emergency situation and First Aid. Then, it can be transmitted to a remote medical guidance doctor so that emergency treatment and hospital response can be performed quickly.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.457-459
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• 2014

최근 Wellness 산업과 스마트 디바이스가 융합되면서 기존의 질병관리 체계보다 앞서 예방하는 건강관리 u-Healthcare 가 개발되고 있다. 하지만 u-Healthcare 에서 취급되는 개인정보 및 의료정보는 메시지 탈취/변조로 인해 공격자에게 악용되어 의료사고를 유발하고 환자의 생명까지 앗아갈 수 있으며 또한 프라이버시 침해로 인해 사용자의 신변을 보장 받을 수 없다. 본 논문에서는 웰니스 서비스의 u-Healthcare 보안의 고려사항과 연구동향에 대해 살펴보고 현재 u-Healthcare 분야에서 보안이 적용된 시스템에 대해 분석하고 취급되는 정보보호의 중요성에 대해 고찰한다.

• Journal of the Korean Society of Physical Medicine
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• 제10권2호
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• pp.1-7
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• 2015

PURPOSE: The aims of this study were to assess the intra-tester and inter-tester reliability and validity of hip range of motion using a smart phone in hip operative patients. METHODS: Twenty-five patients (eight total hip arthroplasty and seventeen femur neck fracture) participated in this study. The range of motions in active and passive hip flexion, abduction and external rotation were measured with a goniometer and smart phone over two times by two observers. The intra-tester and inter-tester reliability were evaluated using the intraclass correlation coefficient (ICC2,1). The validity was measured by Pearson's correlation coefficient RESULTS: The intra-observer reliability was good in all measured items (ICC>0.78). The inter-observer reliability was high with ICC (>0.90). All correlation coefficients of smart phone and goniometer was greater than 0.85 and showed a significant positive correlation (p<0.01). CONCLUSION: The range of motion measurement with a smart phone showed acceptable reliability. Therefore, it could be convenient and have economical benefits to measure the range of motion of the hip joint using a smart phone.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.383-386
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• 2019

4 차산업혁명의 발달은 전 세계가 건강한 삶에 관련된 스마트시티 및 맞춤형 치료에 큰 관심을 갖게 하였고, 특히 기계학습 기술은 암을 극복하기 위한 유전체 기반의 정밀 의학 연구에 널리 활용되고 있어 암환자의 예후 예측 및 예후에 따른 맞춤형 치료 전략 수립 등을 가능케하였다. 하지만 암 예후 예측 연구에 주로 사용되는 유전자 발현량 데이터는 약 17,000 개의 유전자를 갖는 반면에 샘플의 수가 200 여개 밖에 없는 문제를 안고 있어, 예후 예측을 위한 신경망 모델의 일반화를 어렵게 한다. 이러한 문제를 해결하기 위해 본 연구에서는 고차원의 유전자 발현량 데이터를 신경망 모델이 효과적으로 학습할 수 있도록 2D 이미지로 표현하는 기법을 제안한다. 길이 17,000 인 1 차원 유전자 벡터를 64×64 크기의 2 차원 이미지로 사상하여 입력크기를 압축하였다. 2 차원 평면 상의 유전자 좌표를 구하기 위해 유전자 네트워크 데이터와 Node2Vec 이 활용되었고, 이미지 기반의 암 예후 예측을 수행하기 위해 합성곱 신경망 모델을 사용하였다. 제안하는 기법을 정확하게 평가하기 위해 이중 교차 검증 및 무작위 탐색 기법으로 모델 선택 및 평가 작업을 수행하였고, 그 결과로 베이스라인 모델인 고차원의 유전자 벡터를 입력 받는 다층 퍼셉트론 모델보다 더 높은 예측 정확도를 보여주는 것을 확인하였다.

• Journal of The Korean Society of Integrative Medicine
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• 제7권2호
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• pp.69-76
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• 2019

Purpose : This study examined the effects of a virtual reality rehabilitation program on stroke patients' upper extremity functions and activities of daily living (ADL). Methods : The subjects were equally and randomly divided into an experimental group (n=16) to whom a virtual reality rehabilitation program was applied and a control group (n=16) who received traditional occupational therapy. The intervention was applied five times per week, 30 minutes per each time, for six weeks. Jebsen-Taylor hand function test was conducted and the subjects' Manual Function Test was measured to examine their upper extremity functions before and after the treatment intervention, and a Korean version of modified Barthel index was calculated to look at their activities of daily living. Results : After the intervention, the upper extremity functions and activities of daily living of the participants in both groups significantly improved (p<.05). However, the improvements in these parameters among the participants in the virtual reality rehabilitation program were significantly greater than those in the control group (p>.05). Conclusion : The virtual reality rehabilitation program is a stable and reliable intervention method for enhancing the upper limb functions and activities of daily living of stroke patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.344-346
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• 2016

FHIR is a protocol that enables easy data exchange from the time the event occurred in health care settings as a standard for next-generation message exchange of HL7. Create a meaningful message from the ECG and medical equipment, and express the messages generated by standardized FHIR message it will be used in various medical institutions to ensure delivery to EMR, such as hospital information systems can query the results via a smartphone. In addition, it thought to be used in the future to expand SMART on FHIR, Cardiology, Cardiovascular Surgery ward in real-time remote monitoring.

• Journal of muscle and joint health
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• 제29권1호
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• pp.50-59
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• 2022

Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medication monitoring using an artificial intelligence-based smartwatch. Methods: Giorgi's descriptive phenomenological methodology was applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruited by convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference and telephone calls or face-to-face visits. Results: Ten sub-themes and four themes were finally revealed. The four themes were as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and content for patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient's health conditions. Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursing interventions were needed to identify personal needs and consider technological, psychological, aesthetic, and socioeconomic aspects of wearable devices.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.399-400
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• 2010

산업의 발전과 경제성장을 바탕으로 대한민국의 자동차 등록수는 매년 꾸준한 증가세를 보이고 있다. 이와 더불어 자동차 사고 또한 급격히 증가하고 있다. 대한민국은 OECD회원국중 교통사고 발생건수가 높은 편이고 사망자수 또한 상위에 랭크되어 있다. 이러한 사망자 수는 각 나라별 교통사고 발생건수 대비 사망자수와 비교시 높은 사망률을 보이고 있다. 또한 자동차 충돌 사고에서 빈번히 발생되는 운전자의 의식불명에 따른 초기 응급조치의 미흡, 뺑소니 또는 사고 후 방치되는 상황을 방지하기 위해 차량용 블랙박스와 사고발생 통보 시스템이 필요하다. 본 논문에서는 가속도센서를 이용하여 사고 발생시 충격 임계점을 계산한 후 사고 발생을 블루투스를 이용하여 스마트폰으로 전송한다, 또한, 교통사고 발생 후 환자의 응급 후송 및 2차 교통사고를 방지하기 위한 시스템의 필요성에 따라 블랙박스를 접목한 차량용 응급상황 감지 및 통보 시스템을 설계 및 구현하였다.

• IEMEK Journal of Embedded Systems and Applications
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• 제18권2호
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• pp.41-50
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• 2023

Gait analysis is an important tool in the clinical management of cerebral palsy, allowing for the assessment of condition severity, identification of potential gait abnormalities, planning and evaluation of interventions, and providing a baseline for future comparisons. However, traditional methods of gait analysis are costly and time-consuming, leading to a need for a more convenient and continuous method. This paper proposes a method for analyzing the posture of cerebral palsy patients using only smartphone videos and deep learning models, including a ResNet-based image tilt correction, AlphaPose for human pose estimation, and SmoothNet for temporal smoothing. The indicators employed in medical practice, such as the imbalance angles of shoulder and pelvis and the joint angles of spine-thighs, knees and ankles, were precisely examined. The proposed system surpassed pose estimation alone, reducing the mean absolute error for imbalance angles in frontal videos from 4.196° to 2.971° and for joint angles in sagittal videos from 5.889° to 5.442°.