• 제목/요약/키워드: Neuromuscular Model

검색결과 37건 처리시간 0.022초

감각 자극과 치료적 환경이 외상성 뇌손상 흰쥐의 BDNF 발현에 미치는 영향 (The Effect of Sensory Stimulation and Therapeutic Environment on Expression of BDNF after Traumatic Brain Injury in the Rat)

  • 송주민
    • PNF and Movement
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    • 제5권1호
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    • pp.9-17
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    • 2007
  • Purpose : The purpose of this study was to test the effect of balance training for proprioceptive and vestibular sensory stimulation and therapeutic environment on expression of BDNF after traumatic brain injury in the rat. Subject : Twelve Sprague-Dawley rats were randomly assigned into group I and group II. After traumatic brain injury, group I was housed in standard cage for 7 days. Group II was housed in therapeutic cage after balance training for 7 days. Method : Traumatic brain injury was induced by weight drop model and after operation they were housed in individual standard cages for 24 hours. After 7th day, the rats were sacrificed and cryostat coronal sections were processed individually in goat polyclonal anti-BDNF antibody. The morphologic characteristics and the BDNF expression were investigated in injured hemisphere section from immunohistochemistry using light microscope. Result : Immunohistochemical response of BDNF in lateral nucleus, purkinje cell layer, superior vestibular nucleus and pontine nucleus appeared very higher in group II than in group I Conclusion : The present result revealed that simultaneously application of balance training for proprioceptive and vestibular sensory stimulation input and therapeutic environment in traumatic brain injured rats is enhance expression of BDNF and it is facilitates neural plasticity.

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표면 근전도를 이용한 운동단위의 정보추정에 관한 연구 (A Study on the Estimation of Motor Unit Information using Surface EMG)

  • 김성환;이호용;손동일;정철기;고도영
    • 전기학회논문지
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    • 제56권11호
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    • pp.2040-2050
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    • 2007
  • In this study, we present a novel method for estimating the information of MU(motor unit) which is the basic element of human muscle by using surface EMG. Some of the method developed in this field could only estimate the numbers of MU that is activated. However, in our study the MU-simulator based on the line source model was designed to estimate the MU information including the numbers of MU and muscle fiber, conduction velocity, MU diameter, fiber diameter, and end plate position. The SMUAP(single motor unit action potential) detector was designed and CMAP(compound muscle action potential) by electrical stimulus was recorded. With these data, the MU-simulator can estimate the MU information by varying muscle paramater settings through MSE(mean square error) method. Our results shows that the proposed method can be comparable with the method of anatomical studies. Moreover, our system can be utilized to build a tool for diagnosis and treatment assessment of neuromuscular patients.

ICF 모델을 적용한 소뇌손상환자의 재활관리 사례보고 (Using ICF model Rehabilitation Management Case Report on Patients with Cerebellum Disorder)

  • 공선웅;김지선;배시절;황기경
    • PNF and Movement
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    • 제11권1호
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    • pp.79-88
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    • 2013
  • Purpose : Currently, ICF to describe the functions and disability in the world has been used as a universal language. ICF tools based on ICF, the rehabilitation management of clients have been developed to be efficient. This study was designed to describe clinical decision for functional goal of clients to used ICF tools. Methods : In the following the utilization of all developed ICF tools will be described within a case example of a 53-year-old women, suffering from cerebellum disorder. As problems in the subject's functional activities was difficulties in changes sitting postures, standing postures and maintaining standing postures. Activity limitation was determined change sitting, standing posture as a goal through discussion with the patient. Results : After setting the identified problems as the purpose of intervention through the assessment, we find out the outcomes using the ICF evaluation display. Consequently, with functional activities limitation that discovered from assessment(categorical profile, assessment sheet), sitting postures to standing postures and maintaining standing postures were improved. Conclusion : This study was showed ICF tools based on Rehab-cycle for the patient's functional goals clinical practice. The future study, the ICF in clinical practical tools for effective use will require more attempt.

사무직 근로자의 컴퓨터 작업 자세의 관찰 연구 (An Observational Study of Office Workers' Postural Behaviors During Computer Work)

  • 전덕훈;구미란
    • PNF and Movement
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    • 제19권2호
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    • pp.243-250
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    • 2021
  • Purpose: The purpose of this study was to observe office workers' postural behaviors during computer work to identify the risk factors for head and thorax postural behaviors. Methods: The participants included 57 office workers who worked longer than 20 hours on a computer. Postural behaviors during computer work were measured using 3-D wearable motion sensors on the forehead and sternum. A multivariate linear regression model evaluated the association between various risk factors (neck pain, demographics, and environmental factors) and non-head and thorax postural behaviors. Results: The participants maintained their head and thorax in neutral postures (defined as 10° extension~10° flexion and 5° extension~10° flexion, respectively) for 24.7% and 39.3% of the total recorded time. Those who reported neck pain at the measurement of postural behaviors showed less time spent in thorax postures. Current neck pain, high desk height, and the distance between the keyboard and the edge of the desk (cm) were found to be related to less time spent in a neutral thorax posture. Conclusion: Office environment factors and current neck pain might affect workers' thorax postures, which might also determine the orientation of head postures during computer work.

학령기 정상 아동의 호흡 특성과 신체 조건에 관한 상관분석 (Analysis of Correlation between Respiratory Characteristics and Physical Factors in Healthy Elementary School Childhood)

  • 이혜영;강동연;김경
    • The Journal of Korean Physical Therapy
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    • 제25권5호
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    • pp.330-336
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    • 2013
  • Purpose: Respiratory is an essential vital component for conservation of life in human, which is controlled by respiratory muscles and its related neuromuscular regulation. The purpose of this study is to assess lung capacity and respiratory pressure in healthy children, and to investigate relationship and predictability between respiratory pressure and other related respiratory functions. Methods: A total of 31 healthy children were recruited for this study. Demographic information and respiratory related factors were assessed in terms of body surface area (BSA), chest mobility, lung capacity, and respiratory pressure. Correlation between respiratory pressure and the rested variables was analyzed, and multiple regression using the stepwise method was performed for prediction of respiratory muscle strength, in terms of respiratory pressure as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: According to the results of correlation analysis, respiratory pressure showed significant correlation with age (r=0.62, p<0.01), BSA (r=0.80, p<0.01), FVC (r=0.80, p<0.01), and FEV1 (r=0.70, p<0.01). In results of multiple regression analysis using the backward elimination method, BSA and FVC were included as significant factors of the predictable statistical model. The statistical model showed a significant explanation power of 71.8%. Conclusion: These findings suggest that respiratory pressure could be a valuable measurement tool for evaluation of respiratory function, because of significant relationship with physical characteristics and lung capacity, and that BSA and FVC could be possible predictable factors to explain the degree of respiratory pressure. These findings will provide useful information for clinical assessment and treatment in healthy children as well as those with pulmonary disease.

Three-dimensional finite element analysis of the deformation of the human mandible: a preliminary study from the perspective of orthodontic mini-implant stability

  • Baek, Sun-Hye;Cha, Hyun-Suk;Cha, Jung-Yul;Moon, Yoon-Shik;Sung, Sang-Jin
    • 대한치과교정학회지
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    • 제42권4호
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    • pp.159-168
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    • 2012
  • Objective: The aims of this study were to investigate mandibular deformation under clenching and to estimate its effect on the stability of orthodontic mini-implants (OMI). Methods: Three finite element models were constructed using computed tomography (CT) images of 3 adults with different mandibular plane angles (A, low; B, average; and C, high). An OMI was placed between #45 and #46 in each model. Mandibular deformation under premolar and molar clenching was simulated. Comparisons were made between peri-orthodontic mini-implant compressive strain (POMI-CSTN) under clenching and orthodontic traction forces (150 g and 200 g). Results: Three models with different mandibular plane angles demonstrated different functional deformation characteristics. The compressive strains around the OMI were distributed mesiodistally rather than occlusogingivally. In model A, the maximum POMI-CSTN under clenching was observed at the mesial aspect of #46 (1,401.75 microstrain [${\mu}E$]), and similar maximum POMI-CSTN was observed under a traction force of 150 g (1,415 ${\mu}E$). Conclusions: The maximum POMI-CSTN developed by clenching failed to exceed the normally allowed compressive cortical bone strains; however, additional orthodontic traction force to the OMI may increase POMI-CSTN to compromise OMI stability.

Motion Recognition for Kinect Sensor Data Using Machine Learning Algorithm with PNF Patterns of Upper Extremities

  • Kim, Sangbin;Kim, Giwon;Kim, Junesun
    • The Journal of Korean Physical Therapy
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    • 제27권4호
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    • pp.214-220
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    • 2015
  • Purpose: The purpose of this study was to investigate the availability of software for rehabilitation with the Kinect sensor by presenting an efficient algorithm based on machine learning when classifying the motion data of the PNF pattern if the subjects were wearing a patient gown. Methods: The motion data of the PNF pattern for upper extremities were collected by Kinect sensor. The data were obtained from 8 normal university students without the limitation of upper extremities. The subjects, wearing a T-shirt, performed the PNF patterns, D1 and D2 flexion, extensions, 30 times; the same protocol was repeated while wearing a patient gown to compare the classification performance of algorithms. For comparison of performance, we chose four algorithms, Naive Bayes Classifier, C4.5, Multilayer Perceptron, and Hidden Markov Model. The motion data for wearing a T-shirt were used for the training set, and 10 fold cross-validation test was performed. The motion data for wearing a gown were used for the test set. Results: The results showed that all of the algorithms performed well with 10 fold cross-validation test. However, when classifying the data with a hospital gown, Hidden Markov model (HMM) was the best algorithm for classifying the motion of PNF. Conclusion: We showed that HMM is the most efficient algorithm that could handle the sequence data related to time. Thus, we suggested that the algorithm which considered the sequence of motion, such as HMM, would be selected when developing software for rehabilitation which required determining the correctness of the motion.

라그랑지 방법을 이용할 철봉 몸굽혀 휘돌기 동작의 시뮬레이션 (Simulation of Scooped Swing in High Bar Using Lagrange's Method : A Case Study)

  • 하종규
    • 한국콘텐츠학회논문지
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    • 제7권4호
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    • pp.234-240
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    • 2007
  • 이 연구는 철봉 몸굽혀 휘돌기 동작의 최적 모델을 구축하는 것이다. 연구 대상자는 국가대표 남자체조선수(나이 18세, 신장 153cm, 질량 48kg) 1명을 선정하였고, K대학교 체조장에 기 설치된 Spieth사의 철봉을 이용하여 실험하였다. 먼저 대상자에게 연구의 목적과 주의 사항을 주지시키고 사전 서면동의를 받은 후 실험을 실시하였다. 인체를 2분절로 모형화한 몸 굽혀 휘돌기 동작의 영상분석을 위하여 Qualisys사의 카메라(MCU-240) 6대와 소프트웨어인 QTM(Qualisys Track Mannager)을 사용하였다. 이 동작을 이중진자(HAT/total leg)로 모형화하고 라그랑지 운동방정식의 파라메터에 실험에서 획득한 수치를 입력하여 시뮬레이션하였다. 데이터 처리와 모델(미분 연립 방정식)의 해는 Mathematicas5.0으로 프로그래밍하여 구하였다. 분석변인에 대한 모델치와 실험치의 비교 결과는 첫째, 철봉의 최대변위는 모델치(약 0.18 m)가 실험치(약 0.16 m)보다 약 0.02m 더 크게 나타났다. 둘째, 분절1(HAT)의 각변위 패턴은 모두 증가곡선을 보였으나 변곡점의 차이가 나타났다. 셋째, 분절2(total leg)의 각변위 패턴은 전반적으로 유사하게 나타났으나 최대 각은 약 $4^{\circ}$ 차이를 보였다. 결론적으로 실험치와 일치하는 최적모델을 도출하지는 못하였지만 라그랑지 모델을 통한 시뮬레이션의 가능성을 제시하였다. 향후 제한된 2분절 모형을 3, 4분절 모델로 확장하고 생체물성(근골격계)을 정확하게 표현하는 물리적 도구를 개발하는 연구와 인체시스템을 근골격계와 근신경계을 통합한 모델구축이 이루어져야 하겠다.

유한요소법을 이용한 인두의 기능이상에 대한 생체역학적 모델 (A Biomechanical Modeling of Human Pharyngeal Muscular Dysfunction by Using FEM(Finite Element Method))

  • 김성재;배하석;최병철;김성민
    • 대한의용생체공학회:의공학회지
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    • 제24권6호
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    • pp.515-522
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    • 2003
  • 인두는 구강과 식도, 비강과 폐의 중간에서 능동적으로 구강을 통해 섭취되는 음식물과 비강을 통해 흡입되는 공기의 통로역할을 하는 주요한 기관이다. 본 연구는 유한요소기법을 이용한 인두의 3차원 구조의 재구성 과정을 거쳐 인두의 생체역학모델을 구현하였으며, 연하곤란환자의 인두근육의 주요부분에 대한 구조적 변형특성을 3가지로 분류하여 유한요소기법을 이용하여 인두내의 압력에 대한 형상의 변형을 관찰 후 최적화 과정을 거쳐 각 부분에서의 추정 압력 구배를 측정하여 연하과정에서 내부에 생성되는 압력의 연속적인 압력분포를 추정하였다. CT에 의한 인두의 변형 형상을 추정하여 임의 압력에 의한 인두구조의 변형 형상을 유한요소 해석에 의해 계산한 후 비교하여 실제 인두강 내에 형성되는 압력을 추정하였다. 재료적 특성은 인두의 기능이상 시 근조직경화가 발생, 즉 stiffness 가 증가하는 것으로 가정하여 응력-변형률 관계에 있어서 각각 $25\%,\;50\%,\;75\%$씩 증가시켜 분석하였다. 이러한 인두의 생체역학모델은 인두기능장애를 가진 환자의 치료 계획 수립에 도움이 되는 유용한 자료를 제공 할 것으로 생각된다.

DMSO 투여된 근위축성 측삭경화증 SOD1-G93A 형질 변환 마우스 모델에서의 근육 기능과 생존 기간 증가 효과 (DMSO Improves Motor Function and Survival in the Transgenic SOD1-G93AMouse Model of Amyotrophic Lateral Sclerosis)

  • 박경호;김연경;박현우;이희영;이정훈;패트릭 스위니;박래리종;박진규
    • 생명과학회지
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    • 제32권8호
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    • pp.611-621
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    • 2022
  • DMSO (dimethyl sulfoxide)는 친유성 화합물을 용해하는 성질과 뇌혈관장벽(Blood-brain barrier)을 투과하는 화학적 특성으로 인해 근위축성 측삭경화증(amyotrophic lateral sclerosis) 등의 퇴행성 뇌신경질환을 타겟으로 하는 전임상 연구에서 용매로 널리 활용되고 있다. 그러나 DMSO를 활용한 연구 결과에 대하여 본 물질에 대한 생화학적 효과는 간과되고 있다. 본 연구에서는 근위축성 측삭경화증의 질환동물 모델인 SOD1-G93A형질 전환 마우스에 5% DMSO를 장기간 경구 투여하여 질병 표현형에 미치는 영향을 생존기간을 포함하여 신경학적, 기능학적, 조직학적으로 분석하였다. DMSO를 투여한 SOD1-G93A 동물군에서 DMSO 비투여군 보다 생존 기간과, 로타로드와 악력 측정으로 평가한 근육 기능이 유의미하게 증가했고, neurological score 가 감소했다. 반면, DMSO 투여군에서 DMSO 비투여군 대비하여 척수 운동 신경 세포와 신경근접합부가 보존되지 않았다. DMSO 투여는 SOD1-G93A형질 전환 마우스의 운동 신경 세포의 조직학적 영향을 미치지 않았지만, 신경 증상 완화와 생존 기간 등 개선된 마우스의 quality of life을 확인하였다. 본 연구 결과, DMSO를 이용한 퇴행성 뇌 질환 전임상 연구 및 후보 약물 효능 평가 시 DMSO의 생화학적 특성에 대한 종합적인 고려가 필요한 것으로 보인다.