ECG Pattern Recognition and Beat Classification using Internet of Things and Hardware Acceleration on ZynQ (SOC) Platform with High Performance Computational PCIe Protocol

摘要

The ECG signals plays an important vital role in Diagnostics Systems. The Real time Hardware Implementation Provides Accuracy, speed, Beat classification, predictivity and diagnostics of the system Interpretation and classification The ECG Signal extraction from sensor and Processing on the Zynq SoC Platform and Imported on to the cloud in involves three Steps: i) Real time data fetch from the Sensor device ii) Pushing on to the Cloud uproot Using TCP/IP Protocol iii) Cloud IDE Processing Using SDAccel openCL language with Amazon FPGA Image (AFI) on Virtual servers with the help of openCL/C++ libraries, Xilinx SDx Environments and virtual JTAG interfaces on Xilinx Virtex Ultrascale Plus Board (VU9P) low profile PCIe accelerated Board.