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Wireless Mobile Communication and Healthcare

9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Juan Ye

    1. School of Computer Science, University of St Andrews, St Andrews, UK

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  2. Michael J. O'Grady

    1. School of Computer Science and Information Technology, University College Dublin, Dublin, Ireland

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  3. Gabriele Civitarese

    1. Department of Computer Science, University of Milan, Milan, Italy

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  4. Kristina Yordanova

    1. Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany

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Included in the following conference series:

Conference proceedings info: MobiHealth 2020.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xi
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  2. Mobile Sensing and Assessment

    1. Front Matter

      Pages 1-1
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    2. Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases

      • Louis Daudet, Christian Poellabauer, Sandra Schneider
      Pages 3-17

    3. Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes

      • Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane et al.
      Pages 18-33

    4. Understanding E-Mental Health for People with Depression: An Evaluation Study

      • Kim Janine Blankenhagel, Johannes Werner, Gwendolyn Mayer, Jobst-Hendrik Schultz, Rüdiger Zarnekow
      Pages 34-51

    5. Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study

      • Stavros-Theofanis Miloulis, Ioannis Kakkos, Georgios Ν. Dimitrakopoulos, Yu Sun, Irene Karanasiou, Panteleimon Asvestas et al.
      Pages 52-66

    6. Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus

      • Muntazir Mehdi, Lukas Hennig, Florian Diemer, Albi Dode, Rüdiger Pryss, Winfried Schlee et al.
      Pages 67-86

  3. Machine Learning in eHealth Applications

    1. Front Matter

      Pages 87-87
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    2. Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network

      • Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano
      Pages 89-103

    3. A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor

      • Ghanashyama Prabhu, Noel E. O’Connor, Kieran Moran
      Pages 104-115

    4. Bayesian Inference Federated Learning for Heart Rate Prediction

      • Lei Fang, Xiaoli Liu, Xiang Su, Juan Ye, Simon Dobson, Pan Hui et al.
      Pages 116-130

  4. Health Telemetry and Platforms

    1. Front Matter

      Pages 131-131
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    2. A Home-Based Self-administered Assessment of Neck Proprioception

      • Angelo Basteris, Charlotte Egeskov Tornbjerg, Frederikke Birkeholm Leth, Uffe Kock Wiil
      Pages 133-144

    3. Health Telescope: System Design for Longitudinal Data Collection Using Mobile Applications

      • Bas Willemse, Maurits Kaptein, Nikolaos Batalas, Fleur Hasaart
      Pages 145-165

    4. Design of a Mobile-Based Neurological Assessment Tool for Aging Populations

      • John Michael Templeton, Christian Poellabauer, Sandra Schneider
      Pages 166-185

    5. Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process

      • David Mc Mahon, Joseph Walsh, Eilish Broderick, Juncal Nogales
      Pages 186-207

    6. Connect - Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform

      • Eranga Bandara, Xueping Liang, Peter Foytik, Sachin Shetty, Crissie Hall, Daniel Bowden et al.
      Pages 208-223

  5. EAI International Workshop on Medical Artificial Intelligence 2020

    1. Front Matter

      Pages 225-225
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    2. Expanding eVision’s Granularity of Influenza Forecasting

      • Navid Shaghaghi, Andres Calle, George Kouretas, Supriya Karishetti, Tanmay Wagh
      Pages 227-243

    3. Explainable Deep Learning for Medical Time Series Data

      • Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler
      Pages 244-256
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  1. Wireless Mobile Communication and Healthcare

Keywords

About this book

This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mobile Communication and Healthcare, MobiHealth 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually.

The book contains 13 full papers selected from the main conference and 10 full papers from two workshops on medical artificial intelligence and on digital healthcare technologies. The conference papers are organized in topical sections on wearable technologies; health telemetry; mobile sensing and assessment; machine learning in eHealth applications.

Editors and Affiliations

  • School of Computer Science, University of St Andrews, St Andrews, UK

    Juan Ye

  • School of Computer Science and Information Technology, University College Dublin, Dublin, Ireland

    Michael J. O'Grady

  • Department of Computer Science, University of Milan, Milan, Italy

    Gabriele Civitarese

  • Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany

    Kristina Yordanova

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