• 정보학연구
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• 제9권1호
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• pp.21-32
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• 2006

Acrophobia is a symptom of feeling an abnormal fear of heights. Medications or cognitive-behavior methods have been mainly used to treat the acrophobia. In these days the virtua1 reality technology has been applied to treat such an anxiety disorders. In this thesis, an telemedicine assistant system for treatment of acrophobia using biomedical signals and virtual reality technique is proposed. I made two virtual reality simulations for treatment of acrophobia and telemedicine system for communication between doctor and patient using personal computer. A virtual environment provides patient with stimuli which arouses phobia, and exposition to such environment makes him have ability to overcome the fear. Recently, the patient can take diagnosis from a medical doctor in distance with the telemedicine system. Multimedia conference service, on-line questionary, signal transfer system are needed to configure such system. Virtual reality simulation system that composed of position sensor, head mount display, and audio system, is also included in this telemedicine system. I added virtual environment update system to this virtual reality telemedicine system for treatment of acrophobia. Former acrophobia treatment systems use only patient's score of the questionary to appraise. The new system developed in this thesis uses not only patient's score of the questionary but also biomedical signals such as HR, GSR amplitude, GSR RT to increase the objectivity and quantitativity. The experimental results show that HR and GSR amplitude are useful for decision of acrophobia. We will apply this system to the acrophobia patient in distance and be able to offer better medical treatment for mental illness in near future.

• Journal of Mechanical Science and Technology
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• 제18권11호
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• pp.1949-1960
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• 2004

This paper presents a robot system developed for medical purpose. A 6-degree-of-freedom robot was introduced for physical exercise and rehabilitation. This system was proposed for stroke patients or patients who cannot use one of their arms or legs. The robot system exercises the hemiplegic part based on the motion of normal part of a patient. Kinematic studies on the human body and robot were applied to develop the robotic rehabilitation exercise system. A clamp which acts as an end effector of the robot to hold a patient was designed and applied to the robot to guarantee the safety of patients. The proposed robotic rehabilitation system was verified by simulations and experiments on arm (elbow and shoulder) motion. Patients are expected to be able to exercise various motions by themselves with the proposed robotic rehabilitation system.

• 한국컴퓨터정보학회논문지
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• 제22권5호
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1602-1612
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• 2017

Since rapidly disseminating of Internet of Things (IoT) as the new communication paradigm, a number of studies for various applications is being carried out. Especially, interest in the smart medical system is rising. In the smart medical system, a number of medical devices are distributed in popular area such as station and medical center, and this high density of medical device distribution can cause serious performance degradation of communication, referred to as the coexistence problem. When coexistence problem occurs in smart medical system, reliable transmitting of patient's biological information may not be guaranteed and patient's life can be jeopardized. Therefore, coexistence problem in smart medical system should be resolved. In this paper, we propose a distributed coexistence mitigation scheme for IoT-based smart medical system which can dynamically avoid interference in coexistence situation and can guarantee reliable communication. To evaluate the performance of the proposed scheme, we perform extensive simulations by comparing with IEEE 802.15.4 MAC protocol which is a traditional low-power communication technology.

• Journal of information and communication convergence engineering
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• 제19권3호
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• pp.166-174
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• 2021

A large volume of patient data is generated from various devices used in healthcare applications. With increase in the volume of data generated in the healthcare industry, more wellness monitoring is required. A cloud-enabled analysis of healthcare data that predicts patient risk factors is required. Machine learning techniques have been developed to address these medical care problems. A novel technique called the radix-trie-based Tanimoto kernel regressive infomax boost classification (RT-TKRIBC) technique is introduced to analyze the heterogeneous health data in the cloud to predict the health risks and send alerts. The infomax boost ensemble technique improves the prediction accuracy by finding the maximum mutual information, thereby minimizing the mean square error. The performance evaluation of the proposed RT-TKRIBC technique is realized through extensive simulations in the cloud environment, which provides better prediction accuracy and less prediction time than those provided by the state-of-the-art methods.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.59-61
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• 2007

This paper proposes optimized actuator to obtain a improved position control ability and respiratory performance with reduced weight. Respiratory organ uses actuator and controls patient's respiratory air volume. Therefore, actuator decides respiratory performance. Redesign actuator using surface response method. Actuator that is reestablished through 3D-simulations searches whether have suitable characteristic to respiratory organ.

• 의학교육논단
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• 제26권2호
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• pp.108-117
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• 2024

Interprofessional collaboration is crucial for patient-centered care and safety. Since healthcare students will be part of interprofessional teams in the future, they need to understand the unique contributions of various healthcare professions to patient care and develop skills in collaboration, communication, leadership, and mutual respect. In response to this need, healthcare faculties have adopted interprofessional education as an innovative teaching method. However, traditional health education has typically taken place within individual schools, resulting in a limited understanding of other professional roles and identities. In our study, we introduced an interprofessional education model involving two different colleges. A total of 152 undergraduate students, comprising 101 medical students from Chung Ang University and 51 nursing students from Sungshin Women's University, participated in the program. A one-day interprofessional education program was conducted to promote collaboration between medical and nursing students. The program included team building and communication games, scenario-based simulations, such as a "room of errors," and tabletop exercises. Key factors for successful interprofessional education include carefully planned scheduling, leadership, and commitment from participating colleges, faculty support and training, the use of diverse teaching methods and technology, and alignment regarding educational directions among the faculty. We believe that this model may provide valuable insights for healthcare institutions aiming to develop and implement interprofessional curricula.

• 중환자간호학회지
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• 제16권2호
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• pp.42-53
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• 2023

Purpose : This retrospective mixed-methods study aimed to explore key considerations for designing effective simulated education in nursing, focusing specifically on the recognition and response to deteriorating patients. Methods : Quantitative and qualitative data were analyzed to assess the clinical judgment and performance of the nursing students. Descriptive statistics were used to analyze quantitative data related to prior knowledge, simulation satisfaction, clinical judgment, and nursing performance during deteriorating patient simulations. Qualitative content analysis was conducted for the reflective journal entries of the participants. Results : Quantitative analysis showed that most participants demonstrated a "being skillful" level of clinical judgment (33.1%) in effective response. At the beginner level, clinical judgment varied across effective noticing(39.7-82.8%), effective interpretating(77.6-82.8%), effective responding(3.4-86.2%), and effective reflecting(90.0-95.4%). Nursing performance in assessing patient respiration or SpO2 after request from a physician ranged from 46.6-48.3%. Qualitative analysis indicated that 48.5% of the participants anticipated a deteriorating condition and initiated appropriate actions, while 70% noticed patient unresponsiveness for the first time. Conclusion : To design an effective simulation program for identifying and addressing deteriorating patient care, a framework for observation and interpretation is essential, along with regular simulated training. It is important to design and assess simulation programs and to conduct thorough interviews with nursing students to gain insight into their clinical decision-making.

• 한국엔터테인먼트산업학회논문지
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• 제14권5호
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• pp.255-266
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• 2020

본 연구는 간호대학생을 대상으로 환자안전 관련 교육프로그램의 종류와 구성 내용을 알아보기 위해 체계적 문헌고찰을 실시하였다. PRISMA를 사용하여 체계적으로 연구를 수행하였으며, 연구대상은 간호대학생, 중재방법은 환자안전교육, 결과는 도구를 사용하여 측정한 결과의 수치화된 보고 또는 서술적 보고, 연구유형은 무작위실험설계, 유사실험설계, 단일군 연구설계, 설문조사, 질적연구를 포함하여 수행하였다. Medline, Embases, CINAHL, DBpia, Riss, KISS를 통해 논문을 검색하였다. 검색 결과 총 2,468편의 논문이 검색되었으며, PICO에 따라 자료를 추출한 결과 총 9편의 논문이 분석에 사용되었다. 간호대학생의 환자안전교육의 특성을 교육 방법과 기간, 결과변수 및 측정도구에 따라 분류하였다. 그 결과 환자안전교육은 다양한 주제로 이루어졌으며, 강의식, 임상실습, 실험실, 그리고 시뮬레이션 등을 통해 교육되고 있었다. 교육 기간 또한 다양하였다. 결과변수는 지식, 태도, 기술 여부를 주로 확인하였는데, 이를 측정한 도구는 다양하였다. 간호대학생을 대상으로 환자안전교육은 국내외에서 다양한 주제, 방법, 기간을 통해 이루어지고 있었으므로, 환자안전 역량을 갖춘 간호인력을 배출하기 위해 교육기관과 실무기관에서 일관되고 통합적인 환자안전교육 확립을 위한 지속적인 연구가 필요하다.

• Journal of Audiology & Otology
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• 제23권3호
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• pp.121-128
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• 2019

Background and Objectives: There is a scant evidence on the use of simulations in audiology (especially in Malaysia) for case-history taking, although this technique is widely used for training medical and nursing students. Feedback is one of the important components in simulations training; however, it is unknown if feedback by instructors could influence the simulated patient (SP) training outcome for case-history taking among audiology students. Aim of the present study is to determine whether the SP training with feedback in addition to the standard role-play and seminar training is an effective learning tool for audiology case-history taking. Subjects and Methods: Twenty-six second-year undergraduate audiology students participated. A cross-over study design was used. All students initially attended two hours of seminar and role-play sessions. They were then divided into three types of training, 1) SP training (Group A), 2) SP with feedback (Group B), and 3) a non-additional training group (Group C). After two training sessions, the students changed their types of training to, 1) Group A and C: SP training with feedback, and 2) Group B: non-additional training. All the groups were assessed at three points: 1) pre-test, 2) intermediate, and 3) post-test. The normalized median score differences between and within the respective groups were analysed using non-parametric tests at 95% confidence intervals. Results: Groups with additional SP trainings (with and without feedback) showed a significantly higher normalized gain score than no training group (p<0.05). Conclusions: The SP training (with/without feedback) is a beneficial learning tool for history taking to students in audiology major.