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Accepted papers

MAIN TRACK

  • Evaluating memory and cognition via a wearable EEG system: a preliminary study – Miloulis, Stavros-Theofanis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece); Kakkos, Ioannis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece); Georgios, Dimitrakopoulos (Department of Medicine, University of Patras, Greece); Sun, Yu (Department of Biomedical Engineering, Zhejiang University, China); Karanasiou, Irene (Department of Mathematics and Engineering Sciences, Hellenic Military Academy, Greece); Asvestas, Panteleimon (Department of Biomedical Engineering, University of West Attica, Greece); Ventouras, Errikos-Chaim (Department of Biomedical Engineering, University of West Attica, Greece); Matsopoulos, George (School of Electrical and Computer Engineering, National Technical University of Athens, Greece)
  • Design of a Mobile-Based Neurological Assessment Tool for Aging Populations – Templeton, John M (University of Notre Dame); Poellabauer, Christian (University of Notre Dame); Schneider, Sandra (University of Notre Dame)
  • Forecast Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network – Yu, Han (Rice University); Itoh, Asami (Mie Univeristy); Sakamoto, Ryota (Mie Univeristy); Shimaoka, Motomu (Mie University); Sano, Akane (Rice University)
  • Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases – Daudet, Louis (University of Notre Dame); Poellabauer, Christian (University of Notre Dame); Schneider, Sandra (Saint Mary’s College)
  • A home-based self-administered assessment of neck proprioception – Basteris, Angelo (University of Southern Denmark); Tornbjerg, Charlotte Egeskov (University of Southern Denmark); Leth, Frederikke Birkeholm (University of Southern Denmark); Wiil, Uffe Kock (University of Southern Denmark)
  • Health Telescope: system design for longitudinal data collection using mobile applications – Willemse, Bastiaan Johannes Paulus Cornelis (Jheronimus Academy of Data Science); Kaptein, Maurits Clemens (Jheronimus Academy of Data Science); Batalas, Nikolaos (Technische Universiteit Eindhoven); Hasaart, Fleur (CZ)
  • Patient-independent Schizophrenia Relapse Prediction Using Daily Template of Hourly Mobile Sensing Data – Lamichhane, Bishal (Rice University, USA); Ben-Zeev, Dror (University of Washington, USA); Campbell, Andrew (Dartmouth College, USA); Choudhury, Tanzeem (Cornell University, USA); Hauser, Marta (Northwell Health, USA); Kane, John (Northwell Health, USA); Obuchi, Mikio (Dartmouth College, USA); Scherer, Emily (Dartmouth College, USA); Walsh, Megan (Northwell Health, USA); Wang, Rui (Dartmouth College); Wang, Weichen (Dartmouth College); Sano, Akane (Rice University)
  • Improving Patient Throughput By Streamlining The Surgical Care-Pathway Process – Mc Mahon, David; Walsh, Prof Joseph (Head of School STEM,Imar Institute of Technology Tralee Ireland Tralee Co Kerry); Nogales, Dr Juncal (Project Co-ordinator)

LATE TRACK

  • Connect – Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform – Herath, Eranga (Old Dominion University)
  • A Deep Learning Model for Exercise-Based Rehabilitation using Multi-channel Time-Series Data from a Single Wearable Sensor – Prabhu, Ghanashyama (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland); O’Connor, Noel E. (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland); Moran, Kieran (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland)
  • Bayesian Inference Federated Learning for Heart Rate Prediction – Liu, Xiaoli (University of Helsinki); Fang, Lei (University of St Andrews); Su, Xiang (University of Helsinki); Ye, Juan (University of Saint Andrews); Dobson, Simon (University of St. Andrews); Hui, Pan (The Hong Kong University of Science and Technology); Tarkoma, Sasu (University of Helsinki)
  • Towards Mobile-based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus – Mehdi, Muntazir (Institute of Distributed Systems, Ulm University); Hennig, Lukas (Institute of Distributed Systems, Ulm University); Diemer, Florian (Institute of Distributed Systems, Ulm University); Dode, Albi (Institute of Databases and Information Systems, Ulm University); Pryss, Ruediger (Institute of Clinical Epidemiology and Biometry, University of Wuerzburg); Schlee, Winfried (Clinic and Policlinic for Psychiatry and Psychotherapy, Regensburg, Germany); Reichert, Manfred (Institute of Databases and Information Systems, Ulm University); Hauck, Franz J. (Institute of Distributed Systems, Ulm University)
  • Understanding E-Mental Health for People with Depression: An Evaluation Study – Blankenhagel, Kim Janine (Technische Universität Berlin); Werner, Johannes (Technische Universität Berlin); Mayer, Gwendolyn (Universitätsklinikum Heidelberg); Schultz, Jobst-Hendrik (Universitätsklinikum Heidelberg); Zarnekow, Rüdiger (Technische Universität Berlin)

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