Nano-sensors communications and networking for healthcare systems: Review and outlooks

IF 3.1 3区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Science Pub Date : 2024-07-05 DOI:10.1016/j.jocs.2024.102367

Abbas Fadhil Abdulabbas Abedi , Patrick Goh , Ahmed Alkhayyat

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引用次数: 0

Abstract

The growth of human population and emergence of pandemics has enhanced the need for healthcare treatment and medications. The development of nanotechnology acts as a platform in diagnosis and detection of various diseases. The presence of Nano-sensors in Internet of Things (IoT) paradigm has the ability to sense and monitor real time data in various fields of applications, particularly in healthcare. In this paper, a comprehensive investigation of numerous studies that have worked on various systems for integrating Nano-sensor communication networks with the IoT in medical fields are studied. This research highlights and analyses the capabilities of various nano-forms of nano layered materials utilized in the identification of diseases. The efficiency of different techniques is validated in terms of energy consumption, detection ability and adapting ability of various environments. Moreover, this work focuses on the applications of nano-sensors communications, and networking for healthcare systems, along with challenges and topics which are needed to be explored.

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医疗保健系统的纳米传感器通信和联网：回顾与展望

人类人口的增长和流行病的出现提高了对医疗保健和药物的需求。纳米技术的发展成为诊断和检测各种疾病的平台。纳米传感器在物联网（IoT）范例中的存在能够感知和监测各个应用领域的实时数据，尤其是在医疗保健领域。本文全面调查了医疗领域中纳米传感器通信网络与物联网集成系统的多项研究。这项研究强调并分析了用于疾病识别的各种纳米形式的纳米层状材料的能力。从能耗、检测能力和对各种环境的适应能力等方面验证了不同技术的效率。此外，这项研究还重点关注了纳米传感器通信和网络在医疗保健系统中的应用，以及面临的挑战和需要探索的课题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

5.50

自引率

3.00%

发文量

227

审稿时长

41 days

期刊介绍： Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).