This book constitutes the refereed post-conference proceedings of the 9
th 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.
Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases.- Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes.- Understanding E-Mental Health for People with Depression: An Evaluation Study.- Evaluating memory and cognition via a wearable EEG system: a preliminary study.- Towards Mobile-based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus.- Machine Learning in eHealth Applications.-Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network.- A Deep Learning Model for Exercise-Based Rehabilitation using Multi-channel Time-Series Data from a Single Wearable Sensor.- Bayesian Inference Federated Learning for Heart Rate Prediction.- Health Telemetry and Platforms.- A home-based self-administered assessment of neck proprioception.-Health Telescope: system design for longitudinal data collection using mobile applications.-Design of a Mobile-Based Neurological Assessment Tool for Aging Populations.-Improving Patient Throughput By Streamlining The Surgical Calp