• Title/Summary/Keyword: 훈련기

Search Result 757, Processing Time 0.026 seconds

Effects of Task-Oriented Training With Functional Electrical Stimulation on Cervical Spinal Cord Injury Patients' Hand Function: A Single-Subject Experimental Design (기능적 전기 자극을 병행한 과제 지향적 훈련이 경수 손상 환자의 손 기능에 미치는 영향: 개별사례 연구)

  • Ko, Seok-Beom;Park, Hae Yean;Kim, Jong-Bae;Kim, Jung-Ran
    • Therapeutic Science for Rehabilitation
    • /
    • v.7 no.1
    • /
    • pp.63-77
    • /
    • 2018

  • Objective : The purpose of this study was to investigate the effects of task-oriented training with functional electrical stimulation on hand function in incomplete cervical cord injury. Method : The subjects of the study were 3 adults diagnosed as incomplete cervical cord injury. The design of this study was ABA single-subject research design to compare dominant hand function of before and after intervention and detect individual effects. The experiment consisted of 30sessions, in which baseline process A1 and A2 were implemented 5 sessions each for 10sessions. Intervention B was implemented 20 sessions. The dependent variable was converted to the change of hand function every session, and Canadian Occupational Performance Measure (COPM), Jebsen-Taylor Hand Function Test(JTHFT), Wolf Motor Function Test(WMFT) were selected for outcome measurements. Result analysis was suggested through visual analysis using a graph and comparison of pre, post and follow-up intervention measurements. Results : As a result, the quality and quantity of dominant hand function increased during intervention B compared to the baseline A1 for all subjects. Baseline A2 was also maintained without training. Additionally, JTHFT, WMFT and COPM scores demonstrated improvement and maintain. The follow up JTHFT and WMFT showed increased required time on all subjects and decrease or maintain task performance and satisfaction in COPM. Conclusion : The task-oriented training with function electrical stimulation in this study has been positive effects on hand function and task performance and satisfaction.

  • https://doi.org/10.22683/tsnr.2018.7.1.063 인용 PDF KSCI

Effects of Swallowing Training with Biofeedback on Swallowing Function and Satisfaction in Acute Stroke Patients with Dysphagia (생체되먹임을 통한 삼킴훈련이 삼킴장애가 있는 급성기 뇌졸중 환자의 삼킴기능과 만족감에 미치는 효과)

  • Moon, Jong-Hoon;Kim, Gyu-Yong;Won, Young-Sik
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.4
    • /
    • pp.63-71
    • /
    • 2017

  • The purpose of current investigation was identified to the effects of swallowing training with surface electromyography biofeedback on swallowing function and dietary level, satisfaction in acute stroke patients with dysphagia. Sixteen acute stroke patients with dysphagia was participated in our study. All stroke paitents were allocated in randomly to experiemental group(n=8) and control group(n=8). Both group received traditional dysphagia therapy during 30min/day, five per week, for four weeks. experimental group was perfomed swallowing training with surface electromyography biofeedback, additionally 30 min/day, and control group received only swallowing training, additionally 30 min/day. Assessments evaluated Functional Dysphagia Scale(FDS) and Penetration-Aspiration Scale(PAS) for measure of swallowing function, and Functional Oral Intake Scale(FOIS) assessed for measure of dietary level. satisfaction assessed by using Visual Analog Satisfaction Scale(VASS). In results, after intervention both group improved significant on swallowing function, and dietary level, compared to before intervention(p<0.05). After intervention, satisfaction of both group was not significant difference(p>0.05). In comparison of change score between two group, experimental group improved significantly than control group in dietary level(p<0.05). Swallowing training with surface electromyography biofeedback may be a effective dysphagia therapy to improve on dietary level in acute stroke patients with dysphagia.

  • https://doi.org/10.5392/JKCA.2017.17.04.063 인용 PDF KSCI

An Implementation of Neuro-Fuzzy Based Land Convert Pattern Classification System for Remote Sensing Image (뉴로-퍼지 알고리즘을 이용한 원격탐사 화상의 지표면 패턴 분류시스템 구현)

  • 이상구
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.9 no.5
    • /
    • pp.472-479
    • /
    • 1999

  • In this paper, we propose a land cover pattern classifier for remote sensing image by using neuro-fuzzy algorithm. The proposed pattem classifier has a 3-layer feed-forward architecture that is derived from generic fuzzy perceptrons, and the weights are con~posed of h u y sets. We also implement a neuro-fuzzy pattern classification system in the Visual C++ environment. To measure the performance of this, we compare it with the conventional neural networks with back-propagation learning and the Maximum-likelihood algorithms. We classified the remote sensing image into the eight classes covered the majority of land cover feature, selected the same training sites. Experimental results show that the proposed classifier performs well especially in the mixed composition area having many classes rather than the conventional systems.

  • PDF