Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare

Pramanik, Pijush Kanti Dutta; Upadhyaya, Bijoy Kumar; Pal, Saurabh; Pal, Tanmoy

doi:10.1016/b978-0-12-815368-0.00001-4

Cited by 73 publications

(44 citation statements)

References 28 publications

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“…However, the conducting gel that surrounds the electrode, and which serves as a conduction medium between the skin and the electrode, can produce irritant effects on the skin when used for longer periods. Another potential drawback associated with long-term use is surface degradation of electrodes, which leads to the deterioration of signal quality [14].…”

Section: Cardiovascular Monitoringmentioning

confidence: 99%

Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review

Rodrigues

Postolache

Cercas

2020

Sensors

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Healthcare optimization has become increasingly important in the current era, where numerous challenges are posed by population ageing phenomena and the demand for higher quality of the healthcare services. The implementation of Internet of Things (IoT) in the healthcare ecosystem has been one of the best solutions to address these challenges and therefore to prevent and diagnose possible health impairments in people. The remote monitoring of environmental parameters and how they can cause or mediate any disease, and the monitoring of human daily activities and physiological parameters are among the vast applications of IoT in healthcare, which has brought extensive attention of academia and industry. Assisted and smart tailored environments are possible with the implementation of such technologies that bring personal healthcare to any individual, while living in their preferred environments. In this paper we address several requirements for the development of such environments, namely the deployment of physiological signs monitoring systems, daily activity recognition techniques, as well as indoor air quality monitoring solutions. The machine learning methods that are most used in the literature for activity recognition and body motion analysis are also referred. Furthermore, the importance of physical and cognitive training of the elderly population through the implementation of exergames and immersive environments is also addressed.

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Section: Cardiovascular Monitoringmentioning

confidence: 99%

Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review

Rodrigues

Postolache

Cercas

2020

Sensors

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“…This makes SCC as the ideal alternative of centralised HPCs where these HPCs are not available or not accessible. The ubiquity and flexibility of SCC is an ideal candidate for providing the computing facility to applications such as pervasive computing [68] and cognitive IoT [66], where the data need to be processed near the data source as well as sink.…”

Section: Virtualizationmentioning

confidence: 99%

Green and Sustainable High-Performance Computing through Smartphone Crowd Computing

Pramanik

Pal²,

Choudhury

2019

SCPE

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The introduction of the Internet of Things (IoT) and Big Data applications have garnered a massive amount of digital data. Processing and analysing these data demand vast computing resources, proportionately. The major downside of producing and using computing resources in such volumes is the deterioration of the Earth's environment. The production process of the electronic devices involves hazardous and toxic substances which not only harm human and other living being’s health but also contaminate the water and soil. The production and operations of these computers in largescale also results in massive energy consumption and greenhouse gas generation. Moreover, the low use cycle of these devices produces a huge amount of not-easy-to-decompose e-waste. In this outlook, instead of buying new devices, it is advisable to use the existing resources to their fullest, which will minimize the environmental penalties of production and e-waste. This paper advocates for using smartphones and smartphone crowd computing (SCC) to ease off the use of PCs/laptops and centralized high-performance computers (HPCs) such as data centres and supercomputers. The paper aims to establish SCC as the most feasible computing system solution for sustainable computing. Detailed comparisons, in terms of environmental effects (e.g., energy consumption, greenhouse gas generation, etc.), between SCC and supercomputers and other green computing initiatives such as Grid and Cloud Computing, are presented. The key enablers of SCC are identified and discussed. One of them is today's computationally powerful smartphones. A comprehensive statistical survey of the various commercial CPUs, GPUs, SoCs for smartphones is presented confirming the capability of the SCC as an alternative to HPC. The challenges involved in realizing SCC are also considered. One of the major challenges is handling the issue of limited battery in smartphones. The reasons for battery drain are recognized with probable measures. An exhaustive survey is presented on the present and optimistic future of the continuous improvement and research on different aspects of smartphone battery and other alternative power sources which will allow users to use their smartphones for SCC without worrying about the battery running out.

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“…Apart from applicative solutions installed on the user's mobile device, informing the user is also possible by using a smart wristband. The smart wristband is applied mostly in order to inform the user about his/her health condition (pulse, blood pressure) or to remind the person to take his/her medicine) [13][14][15][16]. Apart from health purposes, the smart wristband can also be used in smart house concepts where information can be collected from the sensors that are in the wireless sensor network (WSN) [17][18][19][20].…”

Section: Analysis Of User Needsmentioning

confidence: 99%

Proposal of a Conceptual Architecture System for Informing the User in the IoT Environment

Periša

Marković

Kolarovszki

et al. 2019

PROMET

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Design and development of systems for delivering real-time information to people with disabilities and elderly persons need to be based on defined user requirements. For this purpose, the user requirements have been defined in this paper according to the everyday needs of people who use traffic networks and move in closed spaces. The logical presentation of the functionality of the informing system operation and its subsystems includes all the information (data) important for designing a user information delivery system. The paper presents a conceptual architecture system for delivering user informing services related to the environment based on the Internet of Things concept. The aim of the user informing service is an increase in the level of mobility of persons with disabilities and the senior age groups of users. In order to check the operation of the proposed architecture, the informing system operation was monitored on Arduino Uno and Raspberry Pi platforms in laboratory conditions. A simulation confirmed the interdependence of individual data from different subsystems in order to provide real-time information to the system user. The proposed conceptual architecture can contribute to a more efficient approach to the modeling of assistive technologies (with the aim of informing the users) based on dew/fog/cloud technologies in the Internet of Things environment. KEY WORDS information management system; smart wristband; data collection; active daily living;

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Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare

Cited by 73 publications

References 28 publications

Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review

Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review

Green and Sustainable High-Performance Computing through Smartphone Crowd Computing

Proposal of a Conceptual Architecture System for Informing the User in the IoT Environment

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