• 제목/요약/키워드: Learning therapy

검색결과 394건 처리시간 0.026초

인지적 시간관리에 필요한 기능적 뇌 활성 영역과 반응시간의 상관관계 (Correlation between Faster Response Time and Functional Activities of Brain Regions during Cognitive Time Management)

  • 박지원;신화경;장성호
    • The Journal of Korean Physical Therapy
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    • 제22권2호
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    • pp.7-13
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    • 2010
  • Purpose: This study was designed to determine the correlation between faster response time and functional activities of brain regions during cognitive time management. Methods: Twelve healthy subjects participated in this experiment. Subjects performed the serial reaction time task (SRTT), which was designed by the Superlab program, during fMRI scanning. When the 'asterisk' appeared in the 4 partition spaces on the monitor, the subject had to press the correct response button as soon as possible. Results: fMRI results showed activation of the left primary sensorimotor cortex, both premotor areas, the supplementary motor area, posterior parietal cortex and cerebellum. There were significant correlations, from moderate to strong, between faster reaction time and BOLD signal intensity in activated areas. Conclusion: These results suggest that motor skill learning to be needed cognitive time management is associated with greater activation of large scale sensorimotor networks.

Functional Electrical Stimulation with Augmented Feedback Training Improves Gait and Functional Performance in Individuals with Chronic Stroke: A Randomized Controlled Trial

  • Yu, Kyung-Hoon;Kang, Kwon-Young
    • The Journal of Korean Physical Therapy
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    • 제29권2호
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    • pp.74-79
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    • 2017
  • Purpose: The purpose of this study was to compare the effects of the FES-gait with augmented feedback training to the FES alone on the gait and functional performance in individuals with chronic stroke. Methods: This study used a pretest and posttest randomized control design. The subjects who signed the agreement were randomly divided into 12 experimental groups and 12 control groups. The experimental groups performed two types of augmented feedback training (knowledge of performance and knowledge of results) together with FES, and the control group performed FES on the TA and GM without augmented feedback and then walked for 30 minutes for 40 meters. Both the experimental groups and the control groups received training five times a week for four weeks. Results: The groups that received the FES with augmented feedback training significantly showed a greater improvement in single limb support (SLS) and gait velocity than the groups that received FES alone. In addition, timed up and go (TUG) test and six minute walk test (6MWT) showed a significant improvement in the groups that received FES with augmented feedback compared to the groups that received FES alone. Conclusion: Compared with the existing FES gait training, augmented feedback showed improvements in gait parameters, walking ability, and dynamic balance. The augmented feedback will be an important method that can provide motivation for motor learning to stroke patients.

Effect of Kegel Exercise on Vital Capacity According to the Position: A Preliminary Study

  • Park, KangHui;Park, HanKyu
    • The Journal of Korean Physical Therapy
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    • 제32권4호
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    • pp.217-221
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    • 2020
  • Purpose: This study examined the immediate effect of Kegel exercise on the vital capacity according to the position. Methods: Seventeen subjects participated in the study (male=7, female=10). The subjects performed Kegel exercise in two positions: sitting and hooklying. The order of exercise was conducted in a random order selected by the subjects to exclude the learning effect. The maximum voluntary ventilation (MVV) was measured using a spirometer. The vital capacity was measured according to the manual in the sitting position before the experiment. After each exercise, the vital capacity was also measured in the same way. One way repeated measures analysis of the variance (ANOVA) was used to compare the vital capacity according to the position, and a Bonferroni test was used for post hoc analysis. Results: Significant differences in vital capacity were observed after exercise than before exercise (p<0.05). Post-hoc analysis, however, revealed no difference in vital capacity according to the position (p>0.05). Conclusion: This study was a preliminary study to determine the vital capacity according to the Kegel exercise and two positions. Nevertheless, further study with several revisions of the number of subjects, duration, and time for intervention will be needed.

우성안과 주동수가 길이 인지능력에 미치는 영향 (The Effect on Length Cognition Ability in Dominant Eye & Hand)

  • 남건우
    • 대한물리치료과학회지
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    • 제16권4호
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    • pp.59-65
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    • 2009
  • Background: Human body is formed of symmetric bilateral structures that are comprised of eye, upper arm, lower arm and etc. but, we are used only dominant components. The purpose of this study was to analysis length cognition ability in dominant eye & hand. Method: Total 180 persons (male 32, female 138) were participated in this study. They were tested with 'hole in the card' test for identification of dominant eye's side and the question for identification of dominant hand's side, then the length cognition ability was measured in right & left axillary level by describing 10cm line. Results: The results by independent t-test were as follows. In difference of length cognition ability in right axillary level between right dominant eyed group & left dominant eyed group, right dominant eyed group was superior to left dominant eyed group, but significant difference was not existed statistically(p>.05). In left axillary level, right dominant eyed group was superior to left dominant eyed group, but significant difference was not existed statistically(p>.05). In axillary level of dominant eye's side, non-crossed group was superior to crossed group, but significant difference was not existed statistically(p>.05). In axillary level of non-dominant eye's side, non-crossed group was superior to crossed group, but significant difference was not existed statistically(p>.05). Conclusion: These result can be applied to the learning of palpation & observation skill in physical therapy.

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Application of Decision Tree to Classify Fall Risk Using Inertial Measurement Unit Sensor Data and Clinical Measurements

  • Junwoo Park;Jongwon Choi;Seyoung Lee;Kitaek Lim;Woochol Joseph Choi
    • 한국전문물리치료학회지
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    • 제30권2호
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    • pp.102-109
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    • 2023
  • Background: While efforts have been made to differentiate fall risk in older adults using wearable devices and clinical methodologies, technologies are still infancy. We applied a decision tree (DT) algorithm using inertial measurement unit (IMU) sensor data and clinical measurements to generate high performance classification models of fall risk of older adults. Objects: This study aims to develop a classification model of fall risk using IMU data and clinical measurements in older adults. Methods: Twenty-six older adults were assessed and categorized into high and low fall risk groups. IMU sensor data were obtained while walking from each group, and features were extracted to be used for a DT algorithm with the Gini index (DT1) and the Entropy index (DT2), which generated classification models to differentiate high and low fall risk groups. Model's performance was compared and presented with accuracy, sensitivity, and specificity. Results: Accuracy, sensitivity and specificity were 77.8%, 80.0%, and 66.7%, respectively, for DT1; and 72.2%, 91.7%, and 33.3%, respectively, for DT2. Conclusion: Our results suggest that the fall risk classification using IMU sensor data obtained during gait has potentials to be developed for practical use. Different machine learning techniques involving larger data set should be warranted for future research and development.

자기주도형 중환자간호 이러닝 프로그램 개발 및 적용 (Development and Implementation of a Self-directed Critical Care Nursing e-Learning Program)

  • 김금순;김진아;안정원
    • Perspectives in Nursing Science
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    • 제9권1호
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    • pp.51-60
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    • 2012
  • Purpose: The purpose of this study was to develop a self-directed e-learning program for ICU nurses and to evaluate how the proposed e-learning program affects the level of knowledge, nursing performance and job satisfaction of ICU nurses. Methods: The e-learning program was developed with the Computer Assisted Instruction Design Model using sources of self-efficacy which included the inactive attainment, vicarious experience, and verbal persuasion of ICU nurses. The program was evaluated by experts. Following the revision of the program, it was applied to a total of 59 ICU nurses (experimental group n=29, control group n=30) from three hospitals. Four weeks later, we measured the level of knowledge, nursing performance and job satisfaction. Results: The level of knowledge significantly improved in the experimental group (t=5.691, p<.001). Moreover, the level of nursing performance significantly increased in the areas of circulatory diagnostic test (t=2.143, p=.039), EKG (t=2.911, p=.006), aortic balloon pump (t=2.491, p=.017), and nebulizer therapy (t=2.085, p=.044). Overall, job satisfaction did not significantly increase (t=1.664, p=.105); however, job satisfaction in terms of relationships with coworkers (t=2.371, p=.023) and the needs of nursing performance (t=2.940, p=.006) were significantly increased. Conclusion: The results showed that the proposed e-learning program using sources of self-efficacy from ICU nurses was an effective learning method to increase the level of knowledge and nursing performance. The propose de-learning program would be a useful teaching tool for ICU nurses improving the quality of ICU patient care.

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딥러닝을 이용한 소외계층 아동의 스포츠 재활치료를 통한 정신 건강에 대한 변화 (Variation for Mental Health of Children of Marginalized Classes through Exercise Therapy using Deep Learning)

  • 김명미
    • 한국전자통신학회논문지
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    • 제15권4호
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    • pp.725-732
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    • 2020
  • 본 논문은 소외계층 아동의 운동학습프로그램에서 체력 활동 중 나를 잘 따른다(0-9), 마음의 결정을 내리는데 많은 시간이 걸린다(0-9), 맥빠진(0-9) 등을 변수로 사용하여 '성별', '체육교실', 나이의 '상중하'를 분류하고 스포츠 재활치료를 통한 자아 탄력(ego-resiliency)과 자아 통제(self-control)의 변화를 관찰하여 정신 건강 변화를 알아본다. 이를 위해 취득한 데이터를 병합하고 Label encoder와 One-hot encoding을 사용하여 숫자의 크고 작음의 특성을 제거한 후 MLP, SVM, Dicesion tree, RNN, LSTM의 각각의 알고리즘을 적용하여 성능을 평가하기 위해 Train, Test 데이터를 75%, 25% 스플릿 한 뒤 Train 데이터로 알고리즘을 학습하고 Test 데이터로 알고리즘의 정확성을 측정한다. 측정 결과 성별에서는 LSTM, 체육 교실은 MLP와 LSTM, 나이는 SVM이 가장 우수한 결과를 보임을 확인하였다.

자기통제 결과지식이 무릎 관절의 열린 사슬 자세와 닫힌 사슬 자세의 고유수용성감각의 장.단기적 학습에 미치는 영향 (The Effect of Self-Controlled Knowledge of Result on Proprioception Learning in Knee Joint During Open and Closed Kinematic Chain Movement)

  • 이연철;이상열;박관용
    • 대한물리의학회지
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    • 제4권2호
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    • pp.93-100
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    • 2009
  • Purpose:The purpose of this study was to examine the effects of self-controlled knowledge of result (KR) versus the yoked KR on learning of knee joint proprioception. Methods:Forty volunteer subjects (20 men and 20 women) were randomly assigned to each four groups: 1) self-controlled KR in open kinematic chain, 2) yoked KR in open kinematic chain, 3) self controlled KR in close kinematic chain, and 4) yoked KR in close kinematic chain. The difference between the angle of position and reproduction angle was determined as a proprioception error and measured using an angle reproduction test. The subjects in self-controlled groups were provided with feedback whenever they requested it, whereas the subjects in yoked groups were not provided with feedback. The data were analyzed using a one-way ANOVA. Results:The proprioception errors in close kinematic chain groups decreased significantly compared with those in close kinematic chain groups(p<.05). The proprioception errors in the self-controlled group decreased significantly compared with those in yoked groups during acquisition and retention test(p<.05). Conclusion:Self-controlled knowledge of result during open kinematic chain movement is considered to be a good method on motor learning.

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다채널 근전도 기반 딥러닝 동작 인식을 활용한 손 재활 훈련시스템 개발 및 사용성 평가 (Development and Usability Evaluation of Hand Rehabilitation Training System Using Multi-Channel EMG-Based Deep Learning Hand Posture Recognition)

  • 안성무;이건희;김세진;배소정;이현주;오도창;태기식
    • 대한의용생체공학회:의공학회지
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    • 제43권5호
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    • pp.361-368
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    • 2022
  • The purpose of this study was to develop a hand rehabilitation training system for hemiplegic patients. We also tried to find out five hand postures (WF: Wrist Flexion, WE: Wrist Extension, BG: Ball Grip, HG: Hook Grip, RE: Rest) in real-time using multi-channel EMG-based deep learning. We performed a pre-processing method that converts to Spider Chart image data for the classification of hand movement from five test subjects (total 1,500 data sets) using Convolution Neural Networks (CNN) deep learning with an 8-channel armband. As a result of this study, the recognition accuracy was 92% for WF, 94% for WE, 76% for BG, 82% for HG, and 88% for RE. Also, ten physical therapists participated for the usability evaluation. The questionnaire consisted of 7 items of acceptance, interest, and satisfaction, and the mean and standard deviation were calculated by dividing each into a 5-point scale. As a result, high scores were obtained in immersion and interest in game (4.6±0.43), convenience of the device (4.9±0.30), and satisfaction after treatment (4.1±0.48). On the other hand, Conformity of intention for treatment (3.90±0.49) was relatively low. This is thought to be because the game play may be difficult depending on the degree of spasticity of the hemiplegic patient, and compensation may occur in patient with weakened target muscles. Therefore, it is necessary to develop a rehabilitation program suitable for the degree of disability of the patient.

Role of e-Learning Environments in Training Applicants for Higher Education in the Realities of Large-Scale Military Aggression

  • Nataliia Bakhmat;Maryna Burenko;Volodymyr Krasnov;Larysa Olianych;Dmytro Balashov;Svitlana Liulchak
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.167-174
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    • 2023
  • Electronic educational environments in the conditions of quarantine restrictions of COVID-19 have become a common phenomenon for the organization of distance educational activities. Under the conditions of Russian aggression, Ukrainian proof of their use is unique. The purpose of the article is to analyze the role of electronic educational environments in the process of training applicants for higher education in Ukraine in the realities of a large-scale war. General scientific methods (analysis, synthesis, deduction, and induction) and special pedagogical prognostic methods, modeling, and SWOT analysis methods were used. In the results, the general properties of the Internet educational platforms common in Ukraine, the peculiarities of using the Moodle and Prometheus platforms, and an approximate model of the electronic learning environment were discussed. The reasons for the popularity of Moodle among Ukrainian universities are analyzed, but vulnerable elements related to security are emphasized. It was also determined that the high cost of Prometheus software and less functionality made this learning environment less relevant. The conclusions state that the military actions drew the attention of universities in Ukraine to the formation of their own educational platforms. This is especially relevant for technical and military institutions of higher education.