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Coulby G, Clear A, Jones O, et al. Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomed Eng Online. 2020;19(1):80doi: 10.1186/s12938-020-00825-9.
Coulby, G., Clear, A., Jones, O., Young, F., Stuart, S., & Godfrey, A. (2020). Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomedical engineering online, 19(1), 80. https://doi.org/10.1186/s12938-020-00825-9
Coulby, G, et al. "Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design." Biomedical engineering online vol. 19,1 (2020): 80. doi: https://doi.org/10.1186/s12938-020-00825-9
Coulby G, Clear A, Jones O, Young F, Stuart S, Godfrey A. Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomed Eng Online. 2020 Oct 30;19(1):80. doi: 10.1186/s12938-020-00825-9. PMID: 33126878; PMCID: PMC7602322.
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Biomed Eng Online. 2020 Oct 30;19(1):80. doi: 10.1186/s12938-020-00825-9.

Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design.

Biomedical engineering online

G Coulby, A Clear, O Jones, F Young, S Stuart, A Godfrey

Affiliations

  1. Department of Computer and Information Sciences, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK.
  2. Director of Research, Ryder Architecture, Newcastle Upon Tyne, NE1 3NN, UK.
  3. Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK.
  4. Department of Computer and Information Sciences, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK. [email protected].

PMID: 33126878 PMCID: PMC7602322 DOI: 10.1186/s12938-020-00825-9

Abstract

Healthcare studies are moving toward individualised measurement. There is need to move beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment can provide a wealth of information on patient pathology and habitual behaviour, but cost and complexity of equipment have typically been a barrier. Lack of supervised conditions within free-living assessment means there is need to augment these studies with environmental analysis to provide context to individual measurements. This paper reviews low-cost and accessible Internet of Things (IoT) technologies with the aim of informing biomedical engineers of possibilities, workflows and limitations they present. In doing so, we evidence their use within healthcare research through literature and experimentation. As hardware becomes more affordable and feature rich, the cost of data magnifies. This can be limiting for biomedical engineers exploring low-cost solutions as data costs can make IoT approaches unscalable. IoT technologies can be exploited by biomedical engineers, but more research is needed before these technologies can become commonplace for clinicians and healthcare practitioners. It is hoped that the insights provided by this paper will better equip biomedical engineers to lead and monitor multi-disciplinary research investigations.

Keywords: Cloud connectivity; Gait; Remote monitoring; Sensors; Wearables

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