心電圖學訊號擷取方法ELECTROCARDIOGRAPHY SIGNAL EXTRACTION METHOD

專利類型

發明

專利國別 (專利申請國家)

美國

專利申請案號

14/020,429

專利證號

US 9,125,580 B2

專利獲證名稱

心電圖學訊號擷取方法ELECTROCARDIOGRAPHY SIGNAL EXTRACTION METHOD

專利所屬機關 (申請機關)

國立成功大學

獲證日期

2015/09/08

技術說明

在心電圖訊號中，基線飄移這種低頻雜訊一直是個影響特徵萃取的重要因素，且要在不影響主要特徵波型的資訊下去除基線飄移一直不是一件容易的事情，故去除基線飄移在心電圖訊號處理的研究當中至今一直還是個重點研究之一；而本技術根據另一技術“心電圖訊號P波及T波特徵萃取方法”所衍伸出之心電圖特徵萃取演算法能夠在不去除基線飄移的心電圖訊號下進行準確萃取，這不僅能夠省下基線飄移去除所額外增加的複雜度，還能在不受基線飄移去除後的影響下，從保留資訊較完整的訊號中萃取心電圖訊號之特徵，為心電圖訊號特徵萃取的研究領域中提供了降低複雜度以及準確萃取的實用性。 Baseline drift was an important issue for automatic feature extraction on ECG signals. And it’s not easy to remove the baseline drift but not to affect other useful features concurrently. Hence, baseline drift removal is still an important research on ECG signal processing nowadays. However, this technique is proposed an ECG feature extraction algorithm which can not only pass the step of “baseline drift removal” but also extract the ECG features accurately. In addition, this technique is an extension of the other technique “Method of P, T wave detection on ECG signals”. So the benefits of this technique can omit the step of “baseline drift removal” to reduce the complexity of this algorithm and extract the ECG features from the original ECG signals which maintained the complete medical information. Therefore, the technique provides the practicality of reducing complexity and extracting features accurately on the research of ECG signal processing.

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