Special Issue "Application of Neural Networks in Biosignal Process"
Deadline for manuscript submissions: 30 November 2020.
Interests: multimedia systems; sound and vision engineering; signal processing; biomedical engineering; artificial intelligence
Interests: artificial intelligence; smart cities; biometrics; signal processing
Biosignal acquisition and classification is a multistep process which is crucial for better understanding and decision making in human-health-related applications. Researchers deal with multichannel signals such as EEG, 2D signals such as X-Ray images or gaze tracking heat maps and 3D MRI scans. Depending on the nature of the signal, and the applied sensor and its location, such data can be noisy, unstructured, biased or hampered in many ways. Current advancements in neural networks show their great applicability for supervised and unsupervised signal preprocessing and classification. Many phases of the biosignal process can be augmented with the use of ANN, deep learning, and many types of machine-learning-based methods: Signal denoising, unsupervised clustering, dimensionality reduction, latent featurs extraction, classification, and compression are only a few examples of the many possible applications, important for accurate and effective biosignals processing.
This Special Issue focuses on describing use cases of ANN in biosignal analysis, explaining innovative applications and new methods, and showing the benefits of neural networks in key phases of processing of signals or images.
Prof. Dr. Andrzej Czyżewski
Dr. Piotr Szczuko
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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- Neural networks
- Deep learning
- Unsupervised learning
- Signal preprocessing
- Feature extraction
- Signal and image classification