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Energy Efficient VLSI Design on FPGA using Capacitance Scaling Technique


  • Department of Information and Computer Technology, Yanbu University College (YUC), Yanbu, Saudi Arabia
  • Faculty of Engineering, Sciences and Technology, Indus University, Karachi, Pakistan
  • Department of Computer Science, Muhammad Ali Jinnah University, Karachi, Pakistan


In medical sciences and particular in cardiology related area, ECG machine is considered a basic equipment to get the fundamental knowledge about proper functioning of heart. In this work the aim is to make energy efficient ECG machine design on FPGA using capacitance scaling technique while the device is operating under various WLAN specific frequencies. Concept of internet of things is used in this work by adding additional 128-bit IPv6 address in the input of ECG machine that will use to control the device via internet. Kintex-7 is used from the FPGA family for this task. It is analyzed that 89.15%, 89.75% and 89.81% power reduction can be achieved under device operating frequencies 0.9 GHz, 2.4 GHz and 3.6 GHz respectively when the capacitance is taken 500 pF in place of 5000 pF.


Capacitance Scaling, ECG Machine , FPGA, Internet of Things (IoT), Total Power.

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