IoT‐Based Solutions for Smart Healthcare

Jain, Pankaj; Panesar, Sonia F; Talwar, Bableen Flora; Sah, Mahesh Kumar

doi:10.1002/9781119792345.ch2

Cited by 2 publications

(2 citation statements)

References 121 publications

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“…Those utilized biosensors are mainly wearable sensors, including feet and waist-mounted inertial sensors, ankle-mounted accelerometric sensors, wrist-mounted accelerometers, leg-mounted force sensors, etc. In addition, to realize real-time monitoring and data analysis ( Catarinucci et al, 2015 ; Jain et al, 2021 ), these biosensor devices tend to be integrated into the internet of things (IoT) devices ( Helen et al, 2018 ; Yamini, 2020 ; Machado et al, 2021 ). Besides, with the increasingly improved communication technology, the use of a biosensor to detect body motion behavior in a VR environment offers a more promising way to conduct relevant experiments, which enables subjects to perform the tasks more interactively and safely in a relatively ideal immersive experimental environment ( García-Betances et al, 2015 ; Montenegro and Argyriou, 2017 ; Mohammadi et al, 2018 ; Montenegro et al, 2020 ).…”

Section: Applications Of Biosensors Toward Behavior Detection Of Alzh...mentioning

confidence: 99%

Biosensors toward behavior detection in diagnosis of alzheimer’s disease

Sun

Sun²,

Wang³

et al. 2022

Front. Bioeng. Biotechnol.

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In recent years, a huge number of individuals all over the world, elderly people, in particular, have been suffering from Alzheimer’s disease (AD), which has had a significant negative impact on their quality of life. To intervene early in the progression of the disease, accurate, convenient, and low-cost detection technologies are gaining increased attention. As a result of their multiple merits in the detection and assessment of AD, biosensors are being frequently utilized in this field. Behavioral detection is a prospective way to diagnose AD at an early stage, which is a more objective and quantitative approach than conventional neuropsychological scales. Furthermore, it provides a safer and more comfortable environment than those invasive methods (such as blood and cerebrospinal fluid tests) and is more economical than neuroimaging tests. Behavior detection is gaining increasing attention in AD diagnosis. In this review, cutting-edge biosensor-based devices for AD diagnosis together with their measurement parameters and diagnostic effectiveness have been discussed in four application subtopics: body movement behavior detection, eye movement behavior detection, speech behavior detection, and multi-behavior detection. Finally, the characteristics of behavior detection sensors in various application scenarios are summarized and the prospects of their application in AD diagnostics are presented as well.

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Section: Applications Of Biosensors Toward Behavior Detection Of Alzh...mentioning

confidence: 99%

Biosensors toward behavior detection in diagnosis of alzheimer’s disease

Sun

Sun²,

Wang³

et al. 2022

Front. Bioeng. Biotechnol.

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“…The name IoD has been introduced as its core concept is developing a comprehensive system for the surveillance of infectious disease transmission rather than conventional IoT‐based platforms used for remote health monitoring. [ 37 , 38 , 39 , 40 ]…”

Section: Introductionmentioning

confidence: 99%

An Internet‐of‐Disease System for COVID‐19 Testing Using Saliva by an AI‐Controlled Microfluidic ELISA Device

Bhuiyan

Uddin

Lee

et al. 2022

Adv Materials Technologies

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Throughout coronavirus disease (COVID‐19) outbreaks, the centers for disease control and prevention (CDCP) of a country require monitoring of particular territories to provide public health guidance. In this work, the Internet of Diseases (IoD) is suggested for continuous real‐time monitoring of infectious diseases for public health. Because converging information and communication technologies (ICTs) with point‐of‐care (POC) devices to enable the IoD for continuous real‐time health monitoring and processing of clinical records are crucial, an IoD platform associating a lab‐on‐a‐chip (LOC) device to diagnose severe acute respiratory syndrome‐coronavirus‐2 (SARS‐CoV‐2) from oropharyngeal saliva samples have been developed and uploaded the resulted diagnostic data into a cloud‐based system to be connected with CDCP. Moreover, a choropleth IoD map to visualize provincial infection rate is proposed along with the IoD platform. The developed platform is applied for the quantification of SARS‐CoV‐2 N‐protein antigen with a LOD as low as 0.013 ng mL −1 and the infection rate of various provinces is projected with the IoD map successfully. Thus, the proposed IoD system has the potential to become an imperative tool for the disease control and prevention centers to restrain COVID‐19 outbreaks by identifying the severity of particular regions.

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IoT‐Based Solutions for Smart Healthcare

Cited by 2 publications

References 121 publications

Biosensors toward behavior detection in diagnosis of alzheimer’s disease

Biosensors toward behavior detection in diagnosis of alzheimer’s disease

An Internet‐of‐Disease System for COVID‐19 Testing Using Saliva by an AI‐Controlled Microfluidic ELISA Device

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