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A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation

  • Conference paper
  • First Online:
Biomedical Engineering Systems and Technologies (BIOSTEC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1814))

  • 301 Accesses

Abstract

Digital health with mHealth contributes to health promotion by empowering the user with a holistic view of their health. Proactive mHealth is to predict and prevent a situation beforehand, promptly. Most health decisions are taken by the user pervasively. They have a short or long-term impact. Being proactive requires support as ubiquitous decision-making is prone to sudden changes. Changes in users’ internal and contextual states require adaptive systems with timeliness. Personalized health information needs analysis to support user-level decision-making. The goal is to automate processes and augment healthy behaviour. Data from wearables, together with the context, requires automated decision-making with AI modelling, for predicting intervention values. Prediction and prevention mechanism in implementation requires timely interventions, triggered with a supportive action. The health information (wearables + context) can provide information about the states (current, future, and goal). AI-enabled proactive mHealth framework accentuates abstraction by presenting modules with rules of user-level decision-making, tools for automated decision-making, design with P5 principles, and the architecture of Just-in-time adaptive interventions. In this paper, a proof-of-concept (POC) for health promotion with physical activity is implemented based on the framework. The goal is to promote health with motivation. The paper also categorizes intervention with type, properties, and principles. Components of intervention and behaviour change are also listed. POC includes parameters of context and user profile. The paper provides a step-by-step approach to implementing the system on the framework, from input/output mapping to modelling. The outcome is a POC that alters and augments behaviour change for health promotion with physical activity.

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Author information

Authors and Affiliations

  1. Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway

    Muhammad Sulaiman, Anne Håkansson & Randi Karlsen

Authors
  1. Muhammad Sulaiman
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  2. Anne Håkansson
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  3. Randi Karlsen
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Corresponding author

Correspondence to Muhammad Sulaiman .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Caparica, Portugal

    Ana Cecília A. Roque

  2. Virginia Tech, Blacksburg, VA, USA

    Denis Gracanin

  3. University of Vienna, Vienna, Austria

    Ronny Lorenz

  4. University of Edinburgh, Edinburgh, UK

    Athanasios Tsanas

  5. Université de Montréal, Montréal, QC, Canada

    Nathalie Bier

  6. Instituto de Telecomunicações and Instituto Superior Técnico - Lisbon University, Lisbon, Portugal

    Ana Fred

  7. Nova School of Science and Technology and University of Lisbon, Caparica, Portugal

    Hugo Gamboa

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Sulaiman, M., Håkansson, A., Karlsen, R. (2023). A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation. In: Roque, A.C.A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2022. Communications in Computer and Information Science, vol 1814. Springer, Cham. https://doi.org/10.1007/978-3-031-38854-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-38854-5_14

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  • Publisher Name: Springer, Cham

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