IoT based Smart Health care system monitoring using Machine Learning Techniques

Tallapaneni, Naga Swathi; Jayanthi, M.; Venkatesan, Megala

doi:10.1109/icscan53069.2021.9526449

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The issue becomes even more apparent for solutions that remotely monitor or assist patients in their personal environments (home, office, etc.) rather than in healthcare environments [86,90]. Jim et al [14] discuss how big data analytics promise a way of managing and prioritizing the huge feeds of data that would become available if more patients were monitored remotely.…”

Section: Ai Big Data and The Processing And Dissemination Of Medical ...mentioning

confidence: 99%

Healthcare in Asymmetrically Smart Future Environments: Applications, Challenges and Open Problems

Dowdeswell,

Sinha,

Kuo

et al. 2023

Electronics

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The Internet of Medical Things (IoMT) offers promising ways to meet healthcare needs of patients recovering in their own homes and other environments. Interconnected and resilient smart systems offer innovative and cost-effective ways of supporting patients by capitalizing on available devices and networking infrastructure. However, future environments will not be uniformly smart, and there will be asymmetries where our environments’ (home, work, etc.) resources and capabilities differ. Technological solutions will need to adapt to such asymmetries and provide high-quality service and equitable healthcare. This article presents a systematic mapping study that explores opportunities and challenges in building next-generation IoMT smart systems for future environments. The study spans academic literature published in the decade from 2011 to 2021, profiling it from three distinct perspectives: Smart Systems, Future Environments, and Tech-Assisted Health. Each perspective was explored via a Domain Expert-Driven Systematic Mapping protocol to establish where the research is focused and to identify research gaps. From an initial search of 495 studies, 113 were mapped to a set of predefined ontology classes, spanning 6 strategic focus categories. The mapping identified sensing technologies for medical vitals and sensor fusion technologies to combine measurements for more complex analysis, cloud platforms, and connectivity challenges; health conditions that have received the most attention in healthcare smart systems; issues and opportunities in handling large data volumes in integrated smart systems; as well as security and privacy challenges. We find that future middleware frameworks will require a greater degree of interoperability and maturity to fully deliver value. Promising middleware and integration frameworks will require significant adaption and refinement to coexist effectively with current healthcare technologies. Privacy and security are critical factors in healthcare but are currently poorly supported by IoT infrastructures, especially across multiple environments.

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Section: Ai Big Data and The Processing And Dissemination Of Medical ...mentioning

confidence: 99%

Healthcare in Asymmetrically Smart Future Environments: Applications, Challenges and Open Problems

Dowdeswell,

Sinha,

Kuo

et al. 2023

Electronics

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“…Jiaxing can also learn from foreign experience and establish various service centres, such as resource management and information service centres, to integrate resources and optimize allocation. At the same time, the government should actively introduce various laws and regulations on senior care services and monitoring and evaluation mechanisms, unify the standards of senior care services, and continuously improve the top-level design to ensure the stable development of smart senior care [11].…”

Section: Optimize Pension Modelmentioning

confidence: 99%

Current Situation and Evaluation of Smart Senior Care in Jiaxing City, China

Zhu

2023

LNEP

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With the deepening population ageing, the aging problem is becoming more prominent in various countries. Traditional ways of ageing cannot meet the needs of modern ageing, and in the context of Internet+ and big data, research on smart senior care is becoming increasingly urgent. All nations now agree that information technology may help with traditional ageing. This paper takes Jiaxing city as an example, discusses the current aging situation in the city and the development status of smart senior care, draws on some means of foreign smart senior care, and proposes suggestions. At present, the ageing problem in Jiaxing is very prominent, with a large and fast-growing elderly population and the accelerated development of advanced ageing, smaller families, and empty nesting. Based on the characteristics of Jiaxing city and considering foreign models of smart senior care, this paper proposes three development suggestions: optimise the ageing model, improve the professionalism of service providers, and appeal to the government.

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