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ORCID9th MobiHealth 2020: Virtual Event
- Juan Ye
, Michael J. O'Grady, Gabriele Civitarese, Kristina Y. Yordanova:
Wireless Mobile Communication and Healthcare - 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 362, Springer 2021, ISBN 978-3-030-70568-8
Mobile Sensing and Assessment
- Louis Daudet, Christian Poellabauer, Sandra L. Schneider:
Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases. 3-17 - Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Mikio Obuchi, Emily A. Scherer, Megan Walsh, Rui Wang, Weichen Wang, Akane Sano:
Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes. 18-33 - Kim Janine Blankenhagel, Johannes Werner, Gwendolyn Mayer, Jobst-Hendrik Schultz, Rüdiger Zarnekow:
Understanding E-Mental Health for People with Depression: An Evaluation Study. 34-51 - Stavros Theofanis Miloulis, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yu Sun, Irene S. Karanasiou, Panteleimon Asvestas, Errikos-Chaim Ventouras, George K. Matsopoulos:
Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. 52-66 - Muntazir Mehdi, Lukas Hennig, Florian Diemer, Albi Dode, Rüdiger Pryss, Winfried Schlee, Manfred Reichert, Franz J. Hauck:
Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus. 67-86
Machine Learning in eHealth Applications
- Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network. 89-103 - Ghanashyama Prabhu, Noel E. O'Connor, Kieran Moran:
A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor. 104-115 - Lei Fang, Xiaoli Liu, Xiang Su, Juan Ye, Simon Dobson, Pan Hui, Sasu Tarkoma:
Bayesian Inference Federated Learning for Heart Rate Prediction. 116-130
Health Telemetry and Platforms
- Angelo Basteris, Charlotte Egeskov Tornbjerg, Frederikke Birkeholm Leth, Uffe Kock Wiil:
A Home-Based Self-administered Assessment of Neck Proprioception. 133-144 - Bas Willemse, Maurits Kaptein, Nikolaos Batalas, Fleur Hasaart:
Health Telescope: System Design for Longitudinal Data Collection Using Mobile Applications. 145-165 - John Michael Templeton, Christian Poellabauer, Sandra L. Schneider:
Design of a Mobile-Based Neurological Assessment Tool for Aging Populations. 166-185 - David Mc Mahon, Joseph Walsh, Eilish Broderick, Juncal Nogales:
Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process. 186-207 - Eranga Bandara, Xueping Liang, Peter Foytik, Sachin Shetty, Crissie Hall, Daniel Bowden, Nalin Ranasinghe, Kasun De Zoysa, Wee Keong Ng:
Connect - Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform. 208-223
EAI International Workshop on Medical Artificial Intelligence 2020
- Navid Shaghaghi, Andrés Mauricio Calle, George Kouretas, Supriya Karishetti, Tanmay Wagh:
Expanding eVision's Granularity of Influenza Forecasting. 227-243 - Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler:
Explainable Deep Learning for Medical Time Series Data. 244-256 - Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
The Effects of Masking in Melanoma Image Classification with CNNs Towards International Standards for Image Preprocessing. 257-273 - Philipp Grüning, Alex Palumbo, Svenja Kim Landt, Lara Heckmann, Leslie Brackhagen, Marietta Zille, Amir Madany Mamlouk:
Robust and Markerfree in vitro Axon Segmentation with CNNs. 274-284 - Louise Bloch, Christoph M. Friedrich:
Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis. 285-299 - Rawia Sammout, Kais Ben Salah, Khaled Ghédira, Rania Abdelhedi, Najla Kharrat:
A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis. 300-314 - Marja Fleitmann, Hristina Uzunova, Andreas Martin Stroth, Jan Gerlach, Alexander Fürschke, Jörg Barkhausen, Arpad Bischof, Heinz Handels:
Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization. 315-322 - Sophie Peacock, Mattia Cinelli, Frank S. Heldt, Lachlan McLachlan, Marcela P. Vizcaychipi, Alex McCarthy, Nadezda Lipunova, Robert A. Fletcher, Anne Hancock, Robert Dürichen, Fernando Andreotti, Rabia T. Khan:
COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks. 323-335
EAI International Workshop on Digital Healthcare Technologies for the Global South
- Zilu Liang, Mario Alberto Chapa Martell:
Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. 339-350 - Miguel Vargas Martin, Eduardo Pérez Valle, Sheri Horsburgh:
Artificial Empathy for Clinical Companion Robots with Privacy-By-Design. 351-361
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