LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention

P Catherwood, Joseph Rafferty, Stephen McComb, James McLaughlin

Research output: Contribution to conferencePaper

Abstract

This paper presents an advanced long-range low-power Internet of Things wearable temperature sensor to evaluate and predict the likelihood of a heart failure event in high-risk patients. Initial trials have validated the potential of long-range long-term personalized community-based monitoring with smart intervention decision making. The intelligent device implements machine learning to understand the user’s activities of Daily Living (ADL) and their environment; using this information coupled with their body temperature allows the system to evaluate and predict the likelihood of a heart failure event. The solution is based upon the European 868 MHz LoRaWAN standard. As Ulster University roll out a regional LoRaWAN “Things Connected” network across Northern Ireland (owned by Digital Catapult, UK) the embryonic solution will be tested on a larger scale for both home based monitoring as well as patients undertaking daily living activities.
LanguageEnglish
Pages1-4
Number of pages4
Publication statusPublished - 6 Jul 2018
EventBritish HCI Conference 2018 - Belfast, Belfast, Northern Ireland
Duration: 2 Jul 20186 Jul 2018

Conference

ConferenceBritish HCI Conference 2018
Abbreviated titleBHCI2018
CountryNorthern Ireland
CityBelfast
Period2/07/186/07/18

Fingerprint

Patient monitoring
Monitoring
Temperature sensors
Learning systems
Decision making
Temperature
Internet of things
Wearable sensors

Keywords

  • Cardiac
  • Heart Failure
  • Internet of Things
  • LPWAN,
  • Machine learning
  • Intelligent
  • Intervention

Cite this

Catherwood, P., Rafferty, J., McComb, S., & McLaughlin, J. (2018). LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention. 1-4. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.
Catherwood, P ; Rafferty, Joseph ; McComb, Stephen ; McLaughlin, James. / LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.4 p.
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author = "P Catherwood and Joseph Rafferty and Stephen McComb and James McLaughlin",
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Catherwood, P, Rafferty, J, McComb, S & McLaughlin, J 2018, 'LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention' Paper presented at British HCI Conference 2018, Belfast, Northern Ireland, 2/07/18 - 6/07/18, pp. 1-4.

LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention. / Catherwood, P; Rafferty, Joseph; McComb, Stephen; McLaughlin, James.

2018. 1-4 Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.

Research output: Contribution to conferencePaper

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AU - Catherwood, P

AU - Rafferty, Joseph

AU - McComb, Stephen

AU - McLaughlin, James

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Y1 - 2018/7/6

N2 - This paper presents an advanced long-range low-power Internet of Things wearable temperature sensor to evaluate and predict the likelihood of a heart failure event in high-risk patients. Initial trials have validated the potential of long-range long-term personalized community-based monitoring with smart intervention decision making. The intelligent device implements machine learning to understand the user’s activities of Daily Living (ADL) and their environment; using this information coupled with their body temperature allows the system to evaluate and predict the likelihood of a heart failure event. The solution is based upon the European 868 MHz LoRaWAN standard. As Ulster University roll out a regional LoRaWAN “Things Connected” network across Northern Ireland (owned by Digital Catapult, UK) the embryonic solution will be tested on a larger scale for both home based monitoring as well as patients undertaking daily living activities.

AB - This paper presents an advanced long-range low-power Internet of Things wearable temperature sensor to evaluate and predict the likelihood of a heart failure event in high-risk patients. Initial trials have validated the potential of long-range long-term personalized community-based monitoring with smart intervention decision making. The intelligent device implements machine learning to understand the user’s activities of Daily Living (ADL) and their environment; using this information coupled with their body temperature allows the system to evaluate and predict the likelihood of a heart failure event. The solution is based upon the European 868 MHz LoRaWAN standard. As Ulster University roll out a regional LoRaWAN “Things Connected” network across Northern Ireland (owned by Digital Catapult, UK) the embryonic solution will be tested on a larger scale for both home based monitoring as well as patients undertaking daily living activities.

KW - Cardiac

KW - Heart Failure

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KW - LPWAN,

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Catherwood P, Rafferty J, McComb S, McLaughlin J. LPWAN Wearable Intelligent Healthcare Monitoring for Heart Failure Prevention. 2018. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.