2020
DOI: 10.1007/978-981-15-4112-4_3
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A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems

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Cited by 6 publications
(1 citation statement)
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“…Since the limitations of these studies needed to be addressed, significant effort concentrated on solutions such as remote labs to complement the control engineering laboratories and include industrial revolution relevant methods. For instance, an open-source feature with LINX and Arduino board was incorporated to assist in the data acquisition with cost-effective platforms that interact with the actual labs via mobile devices (Ferrari et al, 2017;Andreini et al, 2018;Franca et al, 2021;Hairuddin et al, 2021). Furthermore, IoT enables further development of remote medicine for the on-body monitoring via either consumer wearables (track the health conditions of patients and healthy people) or clinical devices -track and transmit some highly specialised health metrics directly to healthcare organisations and doctors- (Atzori et al, 2010).…”
Section: Internet-of-things In Detection Of Respiratory Viral Infecti...mentioning
confidence: 99%
“…Since the limitations of these studies needed to be addressed, significant effort concentrated on solutions such as remote labs to complement the control engineering laboratories and include industrial revolution relevant methods. For instance, an open-source feature with LINX and Arduino board was incorporated to assist in the data acquisition with cost-effective platforms that interact with the actual labs via mobile devices (Ferrari et al, 2017;Andreini et al, 2018;Franca et al, 2021;Hairuddin et al, 2021). Furthermore, IoT enables further development of remote medicine for the on-body monitoring via either consumer wearables (track the health conditions of patients and healthy people) or clinical devices -track and transmit some highly specialised health metrics directly to healthcare organisations and doctors- (Atzori et al, 2010).…”
Section: Internet-of-things In Detection Of Respiratory Viral Infecti...mentioning
confidence: 99%