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Improved performance of FFT based cardiac analyzer using Advanced booth algorithm

机译:使用高级展位算法提高基于FFT的心脏分析仪的性能

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Cardiac vascular is a disease which plays a high risk factor in the world, where many people leads to death due to sudden cardiac arrest. Doctor uses several test to detect the factors that put people at high risk of Sudden Cardiac Attack like Echocardiography (ECG), Multi Gated Acquisition Scan (MUGA) Test or Cardiac Magnetic Resonance Imaging(MRI), Cardiac Catheterization, and Blood Test which all are in off line analysis of cardiac patient but recently proposed the method of real time Cardiac monitoring system which is used to analyze the abnormality of ECG signal using Fast Fourier Transform (FFT) and send comments to the receiver using short message service(SMS) through Global System Mobile(GSM), where the Fast Fourier Transform (FFT) used in this has more delay, which takes much time in computation due to the presence of multiplier in it. Thus to increase the speed of FFT the Advanced booth algorithm is proposed here, in which the number of slice, number of 4-input LUTs and number of bonded IOB gets reduced when compare to the other existing FFT speed increment algorithm, Hence it is proved that the proposed FFT analyzer improved the overall performance of existing system.
机译:心血管是一种在世界上具有高风险因素的疾病,在世界上许多人由于突然的心脏骤停而导致死亡。医生使用多种测试来发现使人处于突发性心脏病发作高风险的因素,例如超声心动图(ECG),多门采集扫描(MUGA)测试或心脏磁共振成像(MRI),心脏导管插入术和血液测试,这些都是在心脏患者的离线分析中,但最近提出了一种实时心脏监测系统的方法,该方法用于使用快速傅立叶变换(FFT)分析ECG信号的异常并通过全球短消息服务(SMS)向接收者发送评论系统移动(GSM),其中使用的快速傅立叶变换(FFT)具有更大的延迟,由于其中存在乘法器,因此需要花费大量时间进行计算。因此,为了提高FFT的速度,在此提出了先进的Booth算法,与其他现有的FFT速度增加算法相比,其中的条带数量,4输入LUT数量和绑定的IOB数量减少了,因此证明了这一点。提出的FFT分析仪改善了现有系统的整体性能。

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