e-Health and m-Health Technologies for Ambient Assisted Living and Healthcare


Ivan Miguel Pires, Universidade da Beira Interior, Covilhã, Portugal, [email protected]


The use of mobile devices is growing in the different daily activities, and its use started in young people, but elderly people is now using this type of devices. Technological equipments are widely improving and they include different sensors, which are able to acquire different physical and physiological data. The development of these systems is included in the development of information and communication technologies (ICT) technologies for wellbeing. The e-Health and m-Health solutions may not act only in the treatment and monitoring stages of different diseases, but it can act as preventive, promoting healthy lifestyles with the equipment that causes bad habits. These solutions can cooperate between them, health the people to live better, but the most important subject is the healthcare that will not start only at the hospital, but it starts in the home.

Databases, networking, graphical interfaces, data mining, machine learning, intelligent decision support systems and specialized programming languages are just a few of the technologies and research areas currently contributing to medical informatics. The motivation of this special session is to bring together researchers and practitioners interested in the application of ICT to healthcare and medicine in general and to the support of persons with special needs in particular. The development of this solutions for medical purposes should be validated according to the EU General Data Protection Regulation (GDPR) and the privacy of the data is important. Another accepted research studies may be related to the security and privacy of the information for its acceptance.

In the case of medical rehabilitation and assistive technology, research in applications of ICT have contributed greatly to the enhancement of quality of life and full integration of all citizens into society. The use of Cloud computing and network connections, exploits the exchange of the information and improvement of this systems in the different fields, including the healthcare and traffic management. These developments should be closely performed with the participation of healthcare professionals. There are different solutions currently under development related to this field and, as it contributes to improve the quality of life, it can interact in the development of technologies for social help. It is a multidisciplinary and wide subject for the wellbeing. The authors from all fields working these subjects are encouraged to submit a paper presenting their recent work, or a scientific discussion on the topic.


Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:

  • Health care information systems interoperability, security and efficiency;
  • Ambient intelligence for wellbeing and e-health applications, supported by RFID technology and Wireless Sensor Networks;
  • Mobile applications and ubiquitous devices in Healthcare and lifestyle training;
  • Robotic systems and devices for health care and medicine;
  • Technologies to promote a healthy and secure society;
  • Big Data Analytics for e-health;
  • Assessment of Acceptance/Adoption models Cultural Evaluation of e-health;
  • Acceptance e-health and economic growth Factors affecting e-health adoption;
  • Machine learning for healthcare;
  • Intelligent systems for young and elderly people using mobile devices;
  • Activities of Daily Living;
  • Human factors, efficient cost control and management in society;
  • Intelligent decision support and data systems in health care, medicine and society;
  • Innovation in people supporting activities (e.g. health care, schooling and services);
  • Embedded systems for healthcare;
  • IT Acceptance Models Acceptance of e-health services;
  • Major barriers and facilitators for e-health;
  • Biosignal Acquisition, Analysis and Processing;
  • Semantic Technologies and Cognition;
  • Neural Networks;
  • Physiological Computing in Mobile Devices;
  • Telemedicine;
  • Physiological Computing in Mobile Devices;
  • Augmented Reality in Healthcare using Wearable devices;
  • Sensors and Actuators;
  • ICT for development;
  • Cloud computing for healthcare;
  • Mobile application concepts and technologies for different mobile platforms.


All registered papers will be published by ACM and made available through ACM Digital Library.

  • Papers should be in English.
  • Regular papers should be up to 6 pages in length.
  • PhD track papers should be up to 2 pages in length.
  • Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

All accepted authors are eligible to submit an extended version in a fast track of:


Paper submission

Papers should be submitted through EAI ‘Confy‘ system, and have to comply with the ACM format (see Author’s kit section).


Important dates

Full Paper Submission deadline
1 May 2019 [extended]

Notification deadline
1 June 2019

Camera-ready deadline
1 July 2019

Start of Conference

25 September 2019

End of Conference

27 September 2019