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 Care-Pathway Process.-Connect - Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform.-EAI International Workshop on Medical Artificial Intelligence 2020.-Expanding eVision's Granularity of Influenza Forecasting.-Explainable Deep Learning for Medical Time Series Data.-The effects of masking when classifying images of melanoma through CNNs.-Robust and markerfree in vitro axon segmentation with CNNs.-Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis.-A Proposal of Clinical Decision Support System using Ensemble Learning For Coronary Artery Disease Diagnosis.-Deep-Learning-based Feature Encoding of Clinical Parametersfor Patient Specifc CTA Dose Optimization COVID-19 patient outcome prediction using selected features from emergency department data and feed-forward neural networks.-EAI International Workshop on Digital Healthcare Technologies for the Global South.-Validation of Omron Wearable Blood Pressure Monitor HeartGuide in Free-living Environments.-Artificial Empathy for Clinical Companion Robots with Privacy-by-Design.