Getting IoT-ready: The face of next generation artificial pancreas systems

Ankush Chakrabarty; Stamatina Zavitsanou; Tara Sowrirajan; Francis J. Doyle; Eyal Dassau

doi:10.1016/B978-0-12-815655-1.00011-9

Getting IoT-ready: The face of next generation artificial pancreas systems

Ankush Chakrabarty, Stamatina Zavitsanou, Tara Sowrirajan, Francis J. Doyle, Eyal Dassau

Management and Organizations

Research output: Chapter in Book/Report/Conference proceeding › Chapter

9 Scopus citations

Abstract

The internet-of-things (IoT), a vast and eclectic mixture of sensors capable of generating actionable information, is changing the landscape of smart and connected healthcare. Although various aspects of the IoT have been discussed in the literature, this chapter identifies and estimates the potential of the IoT in transforming feedback control strategies to maintain health and promote wellness in people with type 1 diabetes mellitus (T1DM). Ecosystems that can be developed by fusing IoT to state-of-the-art artificial pancreas (AP) systems are discussed, along with unique challenges that arise due to these modified feedback control loops. The potential of an IoT-ready AP in incorporating resource- and context-awareness to improve quality of glycemic control is demonstrated via simulation studies.

Original language	English (US)
Title of host publication	The Artificial Pancreas
Subtitle of host publication	Current Situation and Future Directions
Publisher	Elsevier
Pages	29-57
Number of pages	29
ISBN (Electronic)	9780128156551
DOIs	https://doi.org/10.1016/B978-0-12-815655-1.00011-9
State	Published - Jan 1 2019

Keywords

Automated glucose management
Clinically inspired engineering
Cyberphysical systems
Embedded control
Internet-of-things
Machine learning

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-12-815655-1.00011-9

Cite this

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abstract = "The internet-of-things (IoT), a vast and eclectic mixture of sensors capable of generating actionable information, is changing the landscape of smart and connected healthcare. Although various aspects of the IoT have been discussed in the literature, this chapter identifies and estimates the potential of the IoT in transforming feedback control strategies to maintain health and promote wellness in people with type 1 diabetes mellitus (T1DM). Ecosystems that can be developed by fusing IoT to state-of-the-art artificial pancreas (AP) systems are discussed, along with unique challenges that arise due to these modified feedback control loops. The potential of an IoT-ready AP in incorporating resource- and context-awareness to improve quality of glycemic control is demonstrated via simulation studies.",

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AU - Zavitsanou, Stamatina

AU - Sowrirajan, Tara

AU - Doyle, Francis J.

AU - Dassau, Eyal

PY - 2019/1/1

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KW - Cyberphysical systems

KW - Embedded control

KW - Internet-of-things

KW - Machine learning

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BT - The Artificial Pancreas

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Getting IoT-ready: The face of next generation artificial pancreas systems

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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