A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management

The current standard of diabetes management depends upon the invasive blood pricking techniques. In recent times, the availability of minimally invasive continuous glucose monitoring devices have made some improvements in the life of diabetic patients however it has its own limitations which include painful insertion, excessive cost, discomfort and an active risk due to the presence of a foreign body under the skin. Due to all these factors, the non-invasive glucose monitoring has remain a subject of research for the last two decades and multiple techniques of non-invasive glucose monitoring have been proposed. These proposed techniques have the potential to be evolved into a wearable device for non-invasive diabetes management. This paper reviews research advances and major challenges of such techniques or methods in recent years and broadly classifies them into four types based on their detection principles. These four methods are: optical spectroscopy, photoacoustic spectroscopy, electromagnetic sensing and nanomaterial based sensing. The paper primarily focuses on the evolution of non-invasive technology from bench-top equipment to smart wearable devices for personalized non-invasive continuous glucose monitoring in these four methods. With the rapid evolve of wearable technology, all these four methods of non-invasive blood glucose monitoring independently or in combination of two or more have the potential to become a reality in the near future for efficient, affordable, accurate and pain-free diabetes management

Energy-efficient Adaptive Wireless NoCs Architecture

Abstract—With the increasing number of cores in chip multiprocessors, the design of an efficient communication fabric is essential to satisfy the bandwidth and energy requirements of multi-core systems. Scalable Network-on-Chip (NoC) designs are quickly becoming the standard communication framework to replace bus-based networks. However, the conventional metallic interconnects for inter-core communication consume excess energy and lower throughput which are major bottlenecks in NoC architectures. On-chip wireless interconnects can alleviate the power and bandwidth problems of traditional metallic NoCs. In this paper, we propose an adaptable wireless Network-on-Chip architecture (A-WiNoC) that uses adaptable and energy efficient wireless transceivers to improve network power and throughput by adapting channels according to traffic patterns. Our adaptable algorithm uses link utilization statistics to re-allocate wireless channels and a token sharing scheme to fully utilize the wireless bandwidth efficiently. We compare our proposed A-WiNoC to both wireless/electrical topologies with results showing a throughput improvement of 65%, a speedup between 1.4-2.6X on real benchmarks, and an energy savings of 25-35%. I