Citation :

Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2024. "Energy-Efficient FPGA Design for Wearable and Implantable Devices" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 2, Issue 2: 37-51.

Abstract :

Wearable/Implantable Medical Devices: Emerging in the Medical Field is an ever-growing sector in the Healthcare Industry as it provides patients with constant and specialized care. But, the success of these devices also largely depends on the power factor that enhances the battery power and usability of the devices. Field-Programmable Gate Arrays (FPGAs) are one of the most viable solutions due to the ability of the FPGA architecture to be altered to need and thereby constitute a platform that is flexible enough to accommodate the varied computational requirements of medical implementations. The present work aims to focus on the fabrication of suitable FPGA solutions with high energy efficiency for wearable and implantable applications. Thus, the main research question focuses on the identification of power-efficient methods and approaches that do not compromise the necessary levels of computational performance. The major categories of techniques include circuit-related techniques that address two fundamental power problems, static and dynamic, in addition to two power management techniques, namely power gating and dynamic voltage scaling, and lastly, algorithm-level techniques that seek to increase computational efficiency. Analyzing the literature review of the current state of technology offers information on certain current problems of low-power FPGAs in medical applications. Specific descriptions of case studies demonstrate successful applications of the discussed concepts and provide an insight into realistic trade-offs between power and component complexity, and performance indicators in real-life environments such as healthcare organizations. Comparing FPGAs with other technology options like ASIC and Microcontrollers for medical applications shows that the FPGA offers larger benefits in case of flexibility, rapid prototyping, and especially the inherent capability to adapt to changing medical needs. Based on the results of this study, there are significant contributions to the improvement of energy-efficient FPGA design in healthcare technology and broad fields of technology application for the prolongation of device operational lifetime with better patient experience and the healthcare system. Possible future works are focused on the development of new forms of FPGA as well as the incorporation of new signal processing algorithms and other challenges related to legislation that can be effective in increasing the use of FPGAs in medical innovations. Overall, implementing efficient low power consumption on FPGA for wearable and implantable medical devices is a significant advancement to solve the issue of sustainable health care for patients in the future.

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[10] Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2023. "Comparative Study of FPGA and GPU for High-Performance Computing and AI" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 1, Issue 1: 37-46.

[11] Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2024. "Low-Power FPGA Design Techniques for Next-Generation Mobile Devices" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 2: 82-93.

Keywords :

Energy Efficiency, Field Programmable Gate Arrays, Wearable Devices, Implantable Devices, Dynamic Voltage and Frequency Scaling, Power Gating