New Challenges in Biomedical Signal Processing: Computational Theory and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (15 May 2021) | Viewed by 6162
Special Issue Editors
Interests: biomechanics; movement analysis; advanced signal processing; biomechanical modeling and control
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; movement analysis; advanced signal processing; biomechanical modeling and control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Throughout the years, signal processing has maintained a central role in the biomedical research and application field, being one of the fundamental aspects for extracting information from raw biological data. Nowadays, the dramatic increase in biological sensing technology has expanded the landscape of possible biomedical applications, ranging from measuring and monitoring to the assessment of human physical activities and physiological conditions. Therefore, different sensors for signal recording warrant different and specific signal treatment procedures, and reliable signal processing techniques are required for a number of different applications, such as movement analysis, biosignals interpretation (EEG, ECG, EMG), image processing, and inertial sensing. Further, the central role gained in the last few years by artificial intelligence techniques for biomedical purposes has even further enhanced the need for processing techniques suited to specific contexts, in order to derive significant signal features.
The aim of this Special Issue is to present high-quality papers or critical reviews dealing with cutting-edge developments in biomedical signal processing, in addition to proposing significant applications in the field of clinically oriented devices for rehabilitation and diagnostic purposes.
The topics of interest include, but are not limited to:
- Non-linear signal processing
- Filtering techniques
- Optimization techniques
- Bio-signals processing
- Big data analysis in biomedical applications
- Image processing
- Timeseries analysis
- Patterns recognition in biological data
Dr. Federica Verdini
Guest Editors
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