Optimal FFT for wearable wireless medical devices

Abstract

Rapid advances in medical sciences with many inventions and equipments provide improved quality of diagnosis and treatment. Wireless Medical Devices (WMD) are the latest healthcare systems introduced for monitoring and diagnosis of vital signs and chronic diseases. These devices have to pack a powerful technological punch. The foremost constraint in WMD is the high Power Consumption. Different means of power saving methods are proposed in recent research works of WMD. The objective of the work is to design novel ultra-low power architecture for WMD by optimal signal processing techniques, design of reconfigurable ADC (Analog to Digital Converter) and a scheme for clock power management. This work explores comparative performance analysis of different Fast Fourier Transform (FFT) procedures and identifying the suitable FFT procedure for WMD. The above proposed solution will be implemented using VHDL and ModelSim.