2026-11-092026-11-09https://scholars.csmu.edu.tw/handle/123456789/38540Posture sway has been studied mostly with force-platform data, considering just the small reaction forces collectively exerted on the surface of the ground by the foot. This oversimplification may led to controversy over whether bilateral stance control is connected with the central control demands, and this has become an obstacle in further resolving the significance of limb dynamics in stance. In truly understanding how the central nervous system plans the action, coordinates several joints, and masters joint redundancy for postural stability during stance, the use of accelerometry as a measure of balance control may be better than 3D technology when measurement sensitivity is considered. Accelerometers can record not only very low frequency body sway but also high frequency central oscillation (8-15 Hz) and mechanical resonant components (1-4 Hz) of the limbs, all of which are subject to neuromuscular-skeletal constraints for posture maintenance with ease. Stroke is the most common cause of disability or dependence in activities of daily living (ADL) among the elderly. Reducing the degree of dependence in ADL is often a central aim of rehabilitation programs and other related interventions for patients who have suffered a stroke. Prediction of ADL function at an early stage enables clinicians to select treatment programs and goals for stroke patients, to facilitate a proper discharge plan, and to anticipate the need for home adjustments and community support. Trunk control is a crucial component to perform ADL. Some studies found that trunk control or sitting balance at an early stage could predict ADL outcome at a late stage in patients after a stroke. In this study, we want to use the accelerometry system force plate as a measure of trunk control in maintaining the balance. The purposes of this study are: (1) to assess the postural sway pattern of trunk during maintaining balance with normal and stroke patients; (2) to exam the correlation of trunk control performance with postural sway pattern of maintaining balance for stroke patients.生理震顫於每一個正常人在維持固定姿勢、需要精準控制微小動作，或疲勞時出現，這個不自主性的肢體抖動在身體遠端關節（例如手指）尤為明顯。然而生理震顫的存在經常被認為是動作控制上的瑕疵，但由於震顫的幅度小，經常為人所忽視。最近在1990年以後，生理震顫的研究又逐漸引起神經科學學者的興趣，主要的原因是發現生理震顫的訊號是具有高度週期性的，與大腦皮質的神經活動有高度的關聯性。有趣的是，生理震顫目前被認為是探討大腦簡化動作控制程序的重要線索，McAuley（2000）提出假說認為生理震顫極可能是不同的運動元（motor unit）在運動中活化頻率（firing rate）的共同來源（common source）；換言之，運動元的活化頻率是來自中樞神經系統的基礎頻率為依據，周圍系統（例如肌梭，golgi肌腱器官，group II 纖維等等）在脊髓與中間神經元(interneuron)形成複雜的突觸連結，依照該運動元在運動過程中所扮演的角色做個別化的調整，使得不同運動元的活化頻率在不同的活動中有適度頻率變異性（rate variability）以增加動作多樣的空間；此一前瞻的假設，隨著後來的神經生理學實驗獲得部分證實。 中風是造成老年人日常生活失能或依賴的最常見的原因之一。而軀幹控制是執行日常生活活動的重要元素之一。甚至於有研究發現軀幹控制能力在中風發病早期是可用來預測中風病患將來的預後及後期的功能表現。所以瞭解早期中風病患之軀幹控制能力可推估其預後情況，進而針對病患個別狀況設定治療目標與訂定治療計畫，對臨床復健相關工作人員來說是有其必要性。一般臨床工作者評估中風病患之軀幹控制能力均使用評估量表如Trunk Control Test (TCT)、Trunk Control items of the Postural Assessment Scale for Stroke Patients (PASS-TC)兩種量表。量表評估的優點是方便且快速，但因ordinal data較缺乏interval data量化之特性，且較難偵測出微小的變化量。故需要結合更精密的量測系統來測量軀幹震顫情形，研究與保持姿勢平衡之間的相互關係。 本研究利用加速規震顫量測系統與力板，量測正常人與中風病人於保持姿勢平衡時，軀幹產生的生理震顫訊號與重心晃動的狀況，藉以分析（1）不同狀況下為保持姿勢平衡時軀幹的生理震顫模式在兩組受測者之間的差異性。（2）中風病人於不同狀況下為保持姿勢平衡時軀幹產生的生理震顫模式與利用軀幹控制量表（PASS-TC）所測得之表現的相關性。姿勢調控姿勢平衡微小震顫Postural coordinationBalanceMicrovibrationProject