Sensors for Rehabilitation, Telemedicine and Assistive Technology
This special issue belongs to the section "Electronic Sensors".
Special Issue Information
Dear Colleagues,
Today, especially due to the COVID-19 pandemic, many new telemedicine services have been launched. This affects many medical specialties, and from a technological point of view, it can include the use of sensors that allow the quantification of biological values that can help doctors to diagnose or miniaturize a patient’s condition. In the particular case of rehabilitation activities, sensors play a key role in the evaluation and correction of these activities in real time.
In this framework, it is our pleasure to edit this Special Issue on “Sensors for Rehabilitation, Telemedicine, and Assistive Technology”.
The Special Issue is dedicated to presenting robust remote sensing data gathering, advanced artificial intelligence, and sound analysis procedures for deriving meaningful outcomes. Additionally, the use of innovative techniques such as quantum computing or block chain will be welcome if applied to telemedicine, rehabilitation or assistive technologies.
Prof. Dr. Begoña Garcia-Zapirain
Prof. Dr. Adel Elmaghraby
Dr. Daniel Sierra-Sosa
Guest Editors
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Keywords
- Artificial intelligence
- Deep learning
- Machine learning
- Data and signal processing
- Parallel computing
- Explainable AI
- Healthcare
- Smart cities
- Internet of Things (IoT)
- Healthcare privacy and security
- Medical image processing
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Published Papers
Sensors - ISSN 1424-8220