• 제목/요약/키워드: 바이오 피드백

검색결과 174건 처리시간 0.03초

건축시공교육의 교과목 내용에 대한 제언

  • 정재영
    • 한국건축시공학회지
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    • 제3권4호
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    • pp.53-55
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    • 2003
  • 과거의 대학교육이 교수 중심의 공급자 중심이었다고 한다면 미래의 교육은 수요자 중심의 교육, 즉 학생 중심의 교육이 되어야 한다는 논의가 무성하다. 또한 교육과정을 이수하고 졸업한 학생을 채용하는 기업이 바라는 교육의 내용이 무엇인지를 아는 것은 매우 중요하며 공학인증제도의 도입노력과 연관된다. 즉 회사가 채용한 대학 졸업생의 실력을 통하여 대학의 교육성과를 최종수요자인 회사가 평가하여 그 결과를 대학의 교육과정에 피드백하는 것이 공-학인증제도의 취지이다. 그러므로 회사가 원하는 졸업생의 능력을 갖추도록 대학교육의 커리큘럼을 구성하는 것이 바람직하고 그렇지 못한 대학은 채용에 있어서 불이익을 받을 것이다. (중략)

안드로이드 플랫폼 기반의 임상 바이오신호 처리를 위한 모바일 헬스 시스템 (m-Health System for Processing of Clinical Biosignals based Android Platform)

  • 서정희;박흥복
    • 한국컴퓨터정보학회논문지
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    • 제17권7호
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    • pp.97-106
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    • 2012
  • 모바일 장치에서의바이오신호데이터의 관리는 용량이많은 실시간멀티미디어 데이터의전송이나 저장 장치에서 많은 문제점을야기시킨다. 따라서 본 논문은신속한 의료 서비스를 제공하기 위해서 모바일을 이용한 임상 데이터 처리 시스템인 m-Health 시스템을 제안한다. 이 시스템은 지역의 IP 네트워크 상의 헬스 시스템을 구축하여 원격의 여러 바이오 센싱으로 부터 출력을 조합하고, 다양한 바이오 센서에서의 전자적인 데이터 통합 처리를 수행하였다. m-Health 시스템은 다양한 바이오신호들을 측정 및 모니터링하고 원거리에 위치한 병원의 데이터 서버로 전송한다. 환자 및 가족, 의료진 모두가 언제 어디서나 사용할 수 있는 안드로이드 기반의 모바일 애플리케이션으로 의료 관련자는 병원의 데이터 서버에서 환자 데이터를 접근하여 환자 또는 사용자에게 의료 진단 및 처방을 피드백 한다. 그리고 환자 관찰을 위한 비디오 스트림은 스케일러블 트랜스코딩 기법을 이용하여 네트워크 트래픽에 알맞은 데이터 크기를 결정하고 비디오 스트림을 전송함으로서 모바일 시스템과 네트워크의 부하를 줄일 수 있다.

Time-multiplexing과 바이오 피드백을 이용한 EEG기반 뇌-컴퓨터 인터페이스 시스템 (EEG Based Brain-Computer Interface System Using Time-multiplexing and Bio-Feedback)

  • 배일한;반상우;이민호
    • 센서학회지
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    • 제13권3호
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    • pp.236-243
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    • 2004
  • In this paper, we proposed a brain-computer interface system using EEG signals. It can generate 4 direction command signal from EEG signals captured during imagination of subjects. Bandpass filter used for preprocessing to detect the brain signal, and the power spectrum at a specific frequency domain of the EEG signals for concentration status and non-concentration one is used for feature. In order to generate an adequate signal for controlling the 4 direction movement, we propose a new interface system implemented by using a support vector machine and a time-multiplexing method. Moreover, bio-feed back process and on-line adaptive pattern recognition mechanism are also considered in the proposed system. Computer experimental results show that the proposed method is effective to recognize the non-stational brain wave signal.

이미지 트레이닝을 위한 바이오 피드백 컨트롤러 (A Bio-Feedback Controller for Image Training)

  • 안진호;문명집;김호룡;김경식
    • 정보통신설비학회논문지
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    • 제10권3호
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    • pp.92-97
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    • 2011
  • In this paper, a controller recognizing human gestures using EMG signal is shown. The tiny and band-type controller is developed for image training to excercise the specific area in the body, and uses a dry-type silver fiber electrode easy to be attached or detached itself to a skin. The captured EMG signals are converted to 10-bit digital values via amplification and frequency filtering processes within the controller, and are transmitted to the server by wireless. As the gesture recognition ratio using the proposed controller on biceps is up to 80%, we expect the practical potential of the controller is very promising.

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호흡바이오피드백 훈련이 간호대학생의 임상실습시 스트레스에 미치는 효과 (The Effect of Breathing Biofeedback Training in the Stress of Nursing Students in Clinical Practice.)

  • 권영숙;김태희
    • 기본간호학회지
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    • 제6권2호
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    • pp.169-184
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    • 1999
  • The purpose of this study was to identify the effects of breathing biofeedback training on the stress of nursing students in clinical practice. The research design was a nonequivalent control group pretest-posttest design. The subjects of this study were 39 nursing students from the College of Nursing of K University. The study was conducted from July 20 to September 3, 1998. The subjects were assigned to one of two groups : the experimental group (19 students), and the control group (20 students). The breathing biofeedback training was performed 12 times with the experimental group. The level of psychological stress was measured using the State Anxiety Inventory, Profile of Mood State, and Visual Analogue Stress Scale. The level of physiological stress was measured using pulse rate and blood pressure. The data were analyzed using descriptive statistics, $x^2-test$, t-test, and repeated measures of ANOVA. The results of study are as follows : 1) State anxiety scores were not significantly different between the experimental group and the control group after the biofeedback training. 2) Profile of mood state scores were not significantly different between the experimental group and the control group after the biofeedback training. 3) Visual Analogue Stress Scale scores were significantly different between the experimental group and the control group after the biofeedback training(F=11.68, p=0.002). 4) Pulse rates were not significantly different between the experimental group and the control group after the biofeedback training. 5) Systolic blood pressures were significantly different between the experimental group and the control group after the biofeedback training(F=5.44, p=0.025). 6) Diastolic blood pressures were not significantly different between the experimental group and the control group after the biofeedback training. On the basis of the above findings, the following recommendations for further study are made ; 1) Identification of the effects of breathing biofeedback training at times of high stress during clinical practice. 2) Identification fo the effects of stress reduction according to the frequency of the breathing biofeedback training.

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심박동수 변이(Heart Rate Variability) 측정법의 개념과 임상적 활용 (The Concept and Clinical Application for the Measurement of Heart Rate Variability)

  • 우종민
    • 정신신체의학
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    • 제12권1호
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    • pp.3-14
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    • 2004
  • 신경심장학의 발전으로 중추신경 활성이 심장의 전기적 활동도에 미치는 영향이 밝혀지고 있고, 심박동수변이(Heart rate variability, HRV)가 정신적 스트레스와 심혈관질환의 기계적 연관성을 나타내는 중요한 지표로 제기되고 있다. HRV란 자율신경계의 정상적 상호작용에 의해 나타나는 생리적인 심박수 변동을 타나내며, 자율신경 기능을 정량화하여 측정할 수 있는 방법론이다. 분석 방법은 시간 영역 분석과 주파수 영역 분석으로 나눌 수 있으며, 측정 시간대에 따라 단기간 측정과 24시간 측정 등의 방법이 확립되어 있다. 임상적으로는 변이 정도, 교감신경과 부교감신경의 활성과 균형도를 파악하여 다양한 질환과 스트레스 등의 진단과 치료 및 예후 판정에 활용되고 있다. HRV를 이용한 바이오피드백도 최근 자율신경 관련 질환의 치료에 활용되고 있다. 향후 다양한 프로토콜의 개발과 임상적 적용이 필요할 것으로 보인다.

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회음부 성형수술 여성에서 전기자극과 바이오피드백을 이용한 골반저근운동의 효과 (Effects of Electric Stimulation and Biofeedback for Pelvic Floor Muscle Exercise in Women with Vaginal Rejuvenation Women)

  • 이정복;최소영
    • 대한간호학회지
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    • 제45권5호
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    • pp.713-722
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    • 2015
  • Purpose: The purpose of this study was to investigate the effects of pelvic floor muscle exercise using electric stimulation and biofeedback on maximum pressure of vaginal contraction, vaginal contraction duration and sexual function in women who have had vaginal rejuvenation. Methods: The research design was a non-equivalent control group non-synchronized design study. Participants in this study were women who had vaginal rejuvenation at C obstetrics and gynecology hospital. The 15 participants in the experimental group were given pelvic floor muscle exercise using electric stimulation and biofeedback and the 15 participants in the control group received self pelvic floor muscle exercise. Results: For maximum pressure of vaginal contraction, the experimental group showed a statistically significant increase compared to than the control group (t=5.96, p <.001). For vaginal contraction duration, the experimental group also showed a statistically significant increase compared to the control group (t=3.23, p =.003). For women' s sexual function, the experimental group showed a significant increase when compared to the control group in total sexual function scores (t=3.41, p =.002). Conclusion: The results indicate that pelvic floor muscle exercise with electric stimulation and biofeedback after vaginal rejuvenation is effective in strengthening vaginal contraction pressure, vaginal contraction and that it also positively functions to increase women's sexual function.

불안 장애 환자에서 바이오피드백 훈련과 약물치료의 병합 효과 분석 - 임상 특성을 중심으로 - (An Analysis of Therapeutic Effect of Combined Biofeedback Training with Pharmacotherapy for Patients with Anxiety Disorder-Focused on Clinical Characteristics)

  • 이준석;오동열;엄수형;소윤섭;전진용
    • 대한불안의학회지
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    • 제2권2호
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    • pp.136-141
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    • 2006
  • Objectives : This study aimed to investigate the therapeutic effect of combined biofeedback training with pharmacotherapy for patients with anxiety disorder. Methods : 12 patients with panic disorder and generalized anxiety disorder were enrolled this study. They were tested for State Trait Anxiety Inventory-State (STAI-S), State Trait Anxiety Inventory-Trait (STAI-T), Beck's Depression Inventory (BDI) and Symptom CheckList-90-Revision Somatization (SCL-90-R-SOM) before and after the biofeedback training program. Results : The score of STAI-T (p=0.023) and BDI (p=0.0018) were the significantly decreased after the biofeedback training program. In Female group, the score of STAI-T (p=0.028), STAI-S (p=0.028) and BDI (p=0.009) were significantly decreased after the biofeedback training program. In the group which age is lower than 40 years old, the score of BDI (p=0.046) were significantly decreased after the biofeedback training program. In Panic disorder group, the score of STAI-S (p=0.046) were significantly decreased after the biofeedback training program. Conclusion : The result of this study is useful for the treating the anxiety disorder patients using the biofeedback training program.

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바이오피드백을 이용한 holistic breathing이 혈액투석 환자의 피로, 우울, 수면장애에 미치는 효과 (The Effects of Holistic Breathing Using Biofeedback on Hemodialysis Patients' Fatigue, Depression, and Sleep Disorders)

  • 백경희;이정영;김미영;김현정;윤경란;강숙정
    • 임상간호연구
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    • 제21권1호
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    • pp.21-30
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    • 2015
  • Purpose: The study was conducted to identify the effects of holistic breathing using biofeedback on fatigue, depression, and sleep disorders of hemodialysis patients. Methods: A quasi-experimental study was conducted with a nonequivalent control group non-synchronized design and pre-post tests. Data were collected from August 20, 2012 to April 6, 2013. Twenty-five patients were assigned to an experimental group and twenty-five patients were assigned to a control group. Holistic breathing using biofeedback was applied during hemodialysis in a hospital with a frequency of twice a week for five weeks. Patients practiced 10 minutes of the holistic breathing twice daily for while at home. Chi-square and t-test were utilized for analyzing the data using SPSS 18.0. Results: Hemodialysis patients who practiced the holistic breathing using biofeedback experienced significantly lower levels of fatigue (t=2.612, p=.012), depression (t=3.390, p=.001), and sleep disorders (t=2.016, p=.049) when compared to the control group. Conclusion: The results indicate that the holistic breathing using biofeedback is an effective nursing intervention for patients receiving hemodialysis for the management of fatigue, depression, and sleep disorders.