Sensors, Signal and Image Processing in Biomedicine and Assisted Living

Dear Colleagues,

Sensor technologies are crucial in biomedicine, as the biomedical devices used for screening and/or diagnosis rely on their efficiency and effectiveness. Further enhancement of the sensor signals acquired, such as the noise reduction in the one-dimensional electroencephalographic (EEG) signals or the color correction in the endoscopic images, and their analysis by computer-based medical systems, has been enabled by artificial intelligence, which promises enhanced diagnostic yield and productivity for sustainable health systems. Furthermore, today, smart sensor systems incorporating advanced signal processing and analysis techniques are entering our life through smartphones and other wearable devices to monitor our health status and help us maintain a healthy lifestyle. The impact of such technologies can be even more significant for the elderly or people with disabilities, such as the visually impaired.

In this context, this Special Issue welcomes original contributions that focus on novel sensor technologies, signal, image, and video processing/analysis methodologies. It also welcomes review articles on challenging topics and emerging technologies.

This Special Issue is organized in the context of the project ENORASI (Intelligent Audiovisual System Enhancing Cultural Experience and Accessibility), co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE (project code: T1EDK-02070).

Prof. Dr. Dimitris Iakovidis
Guest Editor

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