Adaptive and Intelligent Sensors for Mobile Health
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 19728
Special Issue Editors
Interests: computer and communication systems architectures; mobile robotics; eHealth, eInclusion, and rehabilitation systems
Interests: digital health products; services
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; computer vision; e-Health; embedded systems; neuromorphic engineering
Special Issues, Collections and Topics in MDPI journals
Interests: multiple sclerosis; mHealth; patient empowerment; user-centered design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mobile health (mhealth) entails the use of mobile devices and sensors to monitor and control health-related information and activities. When used together with artificial intelligence techniques, these mHealth devices become smart tools that can process and analyze the data collected, allowing more precise diagnostics and personalized health solutions. These solutions should be adapted to different users’ preferences, contexts, and condition progression. The combination of this participatory design approach with the implementation of smart personalization features results in amazing user experiences that ensure high adoption, increased adherence, and enhanced user engagement. In addition, healthcare costs are reduced by shifting healthcare from the traditional clinical environment to the patients’ daily living.
In this Special Issue, our aim is to publish novel research works on sensor-based mobile health solutions, particularly those including intelligent techniques to allow personalization and adaptation to the evolution of the users’ circumstances or contexts. Topics of interest include but are not limited to:
- Sensors for smart mHealth devices;
- Wearable and medical sensors;
- IoT systems for healthcare and the elderly;
- Machine/deep learning and artificial intelligence in mHealth;
- Context-aware and adaptive systems for mHealth.
We encourage submissions of papers presenting original research findings; innovative personalized mHealth solutions, techniques, and tools; or novel reviews that could summarize the current state of the art on the topic. We hope that these contributions may facilitate future research and development efforts in this area.
Prof. Dr. Jose Luis Sevillano
Dr. Octavio Rivera
Dr. Manuel Dominguez-Morales
Dr. Guido Giunti
Guest Editor
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Keywords
- mobile health
- intelligent sensors
- adaptive systems
- participatory health informatics
- deep learning
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