2010-08-012024-05-13https://scholars.lib.ntu.edu.tw/handle/123456789/649800摘要:心室震顫是心因性瘁死的主因。初期的心室震顫能以電擊的方式治療,然而現實世界中,一般常見的心室震顫是屬於晚期的。晚期的心室震顫由於心臟電生理及代謝的改變,變得不易電擊。若嘗試以電擊的方式治療,則會增加胸部按壓停止的時間。研究已顯示,胸部按壓停止的時間增加,會大幅減少病人預後。心室震顫的心電圖訊號事實上是一個複雜系統,傳統的線性分析是無法提供全貌的。在去年的計畫中,我們發現以非線性的方式分析自動體外電擊器收集的心室震顫訊號,能指導心肺復甦術的進行。由於胸部按壓會干擾心電圖的判定,而導致心肺進行心肺復甦術時必須停止按壓,在未來的三年中,我們計畫以中央研究院黃鍔院士所研發的新的訊號分析方法Hilbert-Huang transformation,濾除胸部按壓的干擾以達成不停止按壓而能進行心室震暫的非線性分析,進一步減少胸部按壓停止的時間。最後,我們期望將這些研究成果,申請專利並開發與目前電擊器相容之監測儀。以最低的成本,提升病人的存活率並促進我國之醫療產業之發展。<br> Abstract: Ventricular fibrillation is the major cause of sudden cardiac death. Cardioversion is thetreatment of choice for early ventricular fibrillation. However, in the real world, most of theventricular fibrillation is treated in the late phase. Due to the degeneration of cardiacelectrophysiological and metabolic properties, cardioversion becomes less effective in treatingventricular fibrillation in the late phase. Frequent defibrillation could lead to an increase inhands-off time, which could dramatically lead to poor prognosis.The waveform of ventricular fibrillation is a complex signal which can not be fullycaptured by traditional linear analysis. In previous project, our study showed that nonlinearparameter could guide cardiopulmonary resuscitation (CPR). Since chest compression couldinterfere the judgment of electrocardiography (ECG), chest compression should be stoppedwhen judging ECG, which could further increase hands-off time. In the future 3 years, weplan to utilize a newly developed method: Hilbert-Huang transformation to filter the signalsof chest compression. By using this technique, we could judge the waveform of ECG duringchest compression and further decrease the hands-off time. Finally, we hope to fire patents ofour new methods and devote in developing a CPR monitor accommodating with defibrillatorsin the market. We hope that through these efforts, we could increase the survival rate ofpatients with sudden cardiac death and promote the progress of our medical service industry.Nonlinear Analysis of Ventricular Fibrillation---From Animal Study to Clinical Application