eHealth Platforms and Sensors for Health and Human Activity Monitoring

Dear Colleagues,

Proliferation of eHealth platforms has been largely motivated by finding viable solutions for releasing immense pressures building on the health and care systems that are struggling to cope with the growing number of health management demands across the globe. Through digital transformation, world nations have adopted varying degrees of digitalisation in their health and care systems to date. Such digital health platforms aim at building and managing patient data records, which include those collated through means of health and human activity monitoring that relies on a multitude of multi-modal sensor and actuation technologies, smart wearables, and Internet of Things (IoT) networks. Through health analytics methods, the collated data can be analysed and necessary responsive steps can be planned. To further reduce growing pressure and costs on the health and care systems while increasing their efficiency and effectiveness in dealing with patient requests and conditions, remote health monitoring and self-managed care are deemed key. Yet, all of these come with caveats, as eHealth platforms and particularly sensor-based health data contain personal information, which is susceptible to cybersecurity threats and risk of privacy compromises. Further, in a digital transformation scenario, not all stakeholders may be able or willing to adopt technology-enhanced solutions offered. Thus, any offering made should consider these caveats and more, and hence cater to all.

Accordingly, this Special Issue aims to call for innovative research work presentations on how to realise eHealth platforms that can capture the essence of providing digital technology-enhanced solutions for remote care, self-management, health and human activity monitoring, health analytics and informatics, while considering security, trust, privacy, user acceptance and adoption as core traits. As such, we invite submissions of original research and novel work on a wide range of topics, such as (but are not limited to):

• eHealth and mHealth platforms
• Multi-modal sensor technologies for health and human activity monitoring
• Actuator technologies for remote and predictive healthcare and management
• Sensor data fusion and smart health diagnostics
• Health analytics and informatics, including deep learning, and machine learning techniques and applications to wearable and sensor data
• Smart wearable and mobile technologies, Internet of Things, and sensor networks for physiological signal monitoring
• Emotion and well-being recognition from wearable and mobile systems data, e.g., speech recognition, social signal processing, facial expression analysis
• Personalised health management and self-managed care
• Cybersecurity and privacy protection in eHealth and mHealth platforms
• User acceptance and adoption of digital health and care technologies
• Energy-aware solutions in wearable, sensor, and IoT networks for eHealth/mHealth platforms
• Quality of life monitoring, management, and improvement

Dr. Safak Dogan
Dr. Xiyu Shi
Dr. Yogachandran Rahulamathavan
Prof. Dr. Andrew Weightman
Dr. Glen Cooper
Prof. Dr. Helen Dawes
Dr. Katherine Bradbury
Guest Editors

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