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研究生: 楊家琪
Yang, Chia-Chi
論文名稱: 探討機械性頸部失能症生物力學及神經肌肉適應特徵
Characteristics of Biomechanical Kinematics and Neuromuscular Adaptation for Patients with Mechanical Neck Disorder
指導教授: 蘇芳慶
Su, Fong-Chin
共同指導教授: 郭藍遠
Guo, Lan-Yuen
學位類別: 博士
Doctor
系所名稱: 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 84
中文關鍵詞: 機械性頸部失能症頸部工作空間動作平滑度神經肌肉適應運動單元運動單元短期同步化效應
外文關鍵詞: Mechanical neck disorder, Cervical workspace, Smoothness of movement, Neuromuscular adaptation, Motor unit, Motor unit short-term synchronization
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  • 在現今的生活型態中,機械性頸部失能症已成為一普遍及惱人的肌肉骨骼系統疾病。根據流行病學統計,不僅機械性頸部失能症具有極高的盛行率,其復發率更是逐漸攀升。雖然造成機械性頸部失能症的病因仍存在爭議,機械性頸部失能症已受到臨床上及相關的研究領域極大的重視,同時,機械性頸部失能症對現今人類健康的威脅亦越來越嚴重。儘管過去研究證實異常的頸部活動度是機械性頸部失能症患者常見的臨床症狀,然而因為頸部複雜的解剖結構,導致目前尚無法清楚地釐清頸部的生物力學上運動學特徵。因此,本論文的目的將利用量化生物力學觀點來探討健康人與機械性頸部失能症患者間的頸部運動學特徵。首先,將以三維工作空間的概念取代臨床上常用的角度參數,來描述頸部執行環繞動作時的運動學。除此,也將延伸頻譜熵的概念來分析頸部執行環繞動作時運動學特性,如動作平滑度。另ㄧ方面,因為運動單元為神經肌肉系統基本運作組成單元且研究證實頸部失能症患者其頸部屈肌,如胸鎖乳突肌的肌電生理功能具有障礙現象,本論文亦將觀察頸部兩側主要表淺屈肌運動單元的肌電生理特徵。
    由研究結果發現,相對於臨床上常用的角度參數,本論文所提出之頸部工作空間概念將是一合適且可用來量化覆雜的頸部運動學特徵的評估方式。其中,機械性頸部失能症患者有較低的正規化頸部工作空間,同時亦具有較不流暢的動作平滑度。另一方面,在機械性頸部失能症患者其胸鎖乳突肌運動單元也較無症狀的受試者有較高的徵招活化、平均活化頻率及較低的運動單元短期同步化效應。
    經由本研究觀察,可以合理地推測由於神經肌肉系統運動單元徵招模式的改變,例如增加胸鎖乳突肌運動單元的徵招活化和平均活化頻率,使得機械性頸部失能症患者因此需要調整頸部肌肉動作控策略來執行頸部日常生活活動。因此由量化的生物力學及神經肌肉控制策略之觀點,除了進一步釐清了機械性頸部失能症患者的動作控制策略。此外,亦可作為提供臨床人員評估機械性頸部失能症患者失能程度及監控機械性頸部失能症臨床上復健計劃效益的客觀參考依據。

    Mechanical neck disorder is commonly viewed as a widespread and unnerved musculoskeletal condition in modern lifestyle. Not only the prevalence of neck pain in the general population is considerably high, but the rate of recurrence of neck pain is also increasing. Although the etiology of MND is largely under debate, MND has attracted attention in clinical setting and research field for a long period of time and the threat to healthy issues is still getting more and more severe. Despite aberrant cervical mobility in patients with MND, published evidences still fail to comprehend thoroughly the complicated biomechanical kinematics because of the complexity of the anatomical structures of the cervical spine. Therefore, the objectives of this current dissertation aimed to further clarify the three-dimensional kinematics of the cervical spin for patients with MND and asymptomatic populations from quantitative biomechanical assessments. The concept of the three-dimensional workspace was modified to describe the complicated kinematics of the cervical spine during circumduction, which integrated the movements of all major anatomical planes instead of the conventional angular parameters. Furthermore, the quality of the kinematics of the cervical spine, such as the smoothness of movement during cervical circumduction was simultaneously observed using the concept of spectral entropy. On the other hand, since the motor units are fundamental functional units of the neuromuscular system and dysfunction in the cervical flexor muscles, especially the sternocleidomastoid muscles, has been found to be associated with neck pain, the electrophysiological properties of the motor units of the sternocleidomastoid muscles were also characterized.
    Based on the findings of the current dissertation, it was found that the workspace during cervical circumduction was successfully proposed to be a feasible and alternative mathematical model for assessing the complicated kinematics of the cervical spine quantitatively, reporting significant reduction in the normalization of the cervical workspace. Meanwhile, less smooth cervical movements in patients with MND was identified in contrast to asymptomatic individuals. Finally, patients with MND exhibited higher values of initial and mean firing rates and lower short-term synchronization of the motor units pairs of the sternocleidomastoid muscles.
    Thus, these convinced evidences indicated that patients with MND might be more likely to modify motor control strategies to execute the cervical activities of daily living due to alternations in neural recruitment strategies of the motor units, such as increased recruitment firing rates of the motor units of the sternocleidomastoid muscles. These valuable information could further offer a clinical relevance for clarifying characteristics of motor control strategies for patients with MND and allow guiding the clinicians to evaluate the extent of impairment of the cervical spine easily and quickly and monitor the efficacy of rehabilitation programs in patients with MND in clinical practice.

    Abstract I 中文摘要 III 誌謝 V Table of Contents VI List of Tables VIII List of Figures IX Chapter 1. General Introduction 1 1.1 Background and Significance 1 1.2 Epidemiology of MND 3 1.3 Quantitative biomechanical cervical kinematics for MND 4 1.4 Quality of cervical kinematics for MND 6 1.5 Neuromuscular adaptations for MND 7 1.6 Specified aims of the present dissertation 9 1.7 Outlines of the present dissertation 10 Chapter 2. A New Concept for Quantifying the Complicated Kinematics of the Cervical Spine and Its Application in Evaluating the Impairment of Patients with MND 11 2.1 Introduction 11 2.2 Materials and Methods 14 2.2.1 Subjects 14 2.2.2 Apparatus 15 2.2.3 Experimental Procedures 17 2.2.4 Data Processing 18 2.2.5 Data Analysis 20 2.3 Results 21 2.4 Discussion 23 2.5 Conclusion 29 Chapter 3. Comparison of Cervical Movement Smoothness between Patients with MND and Asymptomatic Individuals Using the Spectral Entropy Method 30 3.1 Background 30 3.2 Materials and Methods 33 3.2.1 Subjects 33 3.2.2 Apparatus 34 3.2.3 Experimental Procedures 35 3.2.4 Data Processing 36 3.2.5 Data Analysis 37 3.3 Results 37 3.4 Discussion 40 3.5 Conclusion 43 Chapter 4. Characteristics of the Motor Units of the Sternocleidomastoid Muscles between Patients with MND and Asymptomatic Individuals 44 4.1 Background 44 4.2 Materials and Methods 47 4.2.1 Subjects 47 4.2.2 Apparatus for electromyography signal detection 48 4.2.3 Experimental Procedures 49 4.2.4 Identification for individual motor unit action potential train 51 4.2.5 Data Processing 54 4.2.6 Recruitment characteristics of motor units 54 4.2.7 Motor unit short-term synchronization 57 4.2.8 Data Analysis 60 4.3 Results 60 4.4 Discussion 65 4.5 Conclusion 69 Chapter 5. General Conclusion 71 5.1 Overview of conclusion 71 5.2 Clinical applications 73 5.3 Limitations of the dissertation 75 References 76

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