In-stent restenosis concerning the coronary artery refers to the blood clotting-caused re-narrowing of the blocked section of the artery, which is opened using a stent. The failure rate for stents is in the range of 10% to 15%, where they do not remain open, thereby leading to about 40% of the patients with stent implantations requiring repeat procedure within one year, despite increased risk factors and the administration of expensive medicines. Hence, today stent restenosis is a significant cause of deaths globally. Monitoring and treatment matter a lot when it comes to early diagnosis and treatment. A review of the present stent monitoring technology as well as the practical treatment for addressing stent restenosis was conducted. The problems and challenges associated with current stent monitoring technology were illustrated, along with its typical applications. Brief suggestions were given and the progress of stent implants was discussed. It was revealed that prime requisites are needed to achieve good quality implanted stent devices in terms of their size, reliability, etc. This review would positively prompt researchers to augment their efforts towards the expansion of healthcare systems. Lastly, the challenges and concerns associated with nurturing a healthcare system were deliberated with meaningful evaluations.

The limited resources of spectra is still an issue for internet of things, commercial transmissions, high power consumed in front ends, and green communications applications. In this paper, a compressive sensing to detect a wideband long term evolution (LTE) signal has been proposed. Since such signals have a higher power, costly receiver hardware is required. In literature, many of traditional compressive sensing systems are suffered from mathematical complexity to reconstruct the original signals. Nonetheless, the reconstruction process is not required in the proposed system rather than the noise is decreased to enhance the sensing process. To achieve this goal, the proposed system contains two compression cascaded stages; discrete Daubechies transform and discrete cosine transform. The results uncovered significant sensing performance with a more than 50% compression ratio for centralized cooperative secondary users.