2020
DOI: 10.1109/comst.2020.2973314
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The Future of Healthcare Internet of Things: A Survey of Emerging Technologies

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Cited by 538 publications
(240 citation statements)
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References 224 publications
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“…Sensors can be used to measure air quality or motoric activity, the latter which can help identify symptoms of underlying medical conditions, e.g. Parkinson’s disease (PD) [ 19 ]. Those type of sensors have taken a variety of form factors, from environmental sensors that use printed conductive plastics that can accurately detect the concentration of carbon dioxide (CO 2 ) in the air [ 20 ] to smart clothes that integrate tri-axial accelerometers directly into garments [ 21 ].…”
Section: Low-cost Sensor Technologymentioning
confidence: 99%
“…Sensors can be used to measure air quality or motoric activity, the latter which can help identify symptoms of underlying medical conditions, e.g. Parkinson’s disease (PD) [ 19 ]. Those type of sensors have taken a variety of form factors, from environmental sensors that use printed conductive plastics that can accurately detect the concentration of carbon dioxide (CO 2 ) in the air [ 20 ] to smart clothes that integrate tri-axial accelerometers directly into garments [ 21 ].…”
Section: Low-cost Sensor Technologymentioning
confidence: 99%
“…Recently, the role of Blockchain technology in the healthcare domain has been surveyed in several scientific works [7][8][9][10][11]. Blockchain can drastically improve the security of hospital information systems as discussed in [12][13][14][15].…”
Section: Related Workmentioning
confidence: 99%
“…The utilization of Artificial Intelligence (AI) has changed the human services based IoT frameworks at pretty much every level. The mist/edge worldview is bringing the registering power near the conveyed arrange and thus alleviating numerous difficulties in the process [ 102 ]. The blend of IoT-based e-Health frameworks incorporated with canny frameworks, for example, distributed computing that give savvy targets and applications is a promising future pattern.…”
Section: Mechanismsmentioning
confidence: 99%