Scope

This specialty section aims to be a trusted source for original knowledge dissemination and communication of tangible research outcomes in the field of Biomedical Signal Processing. Signal Processing theories for biomedical applications could span the following six generations: (1) time-domain approaches; (2) spectral domain approaches; (3) joint time and frequency methods; (4) signal decomposition methods; (5) sparse signal representations; and (6) tiny/edge/cloud-based machine learning methods. Signal modalities could be ECG, EEG, EMG, PPG, voice, bioacoustics, and other biomedical signals of electrical, mechanical or chemical in nature. The role of hardware systems, software systems, hardware-software co-design and user-centred design factors for biomedical signal processing could also be considered. This specialty section invites recent original research articles, review/tutorial articles from academia, industry, not-for-profit, and health organizations.

Articles could cover broader and specific aspects of Biomedical Signal Processing, and that include:

• Biomedical Signal Sensing and Acquisition

• Biomedical Signal pre-processing and filtering

• Noise, artifact, and interference reduction and removal techniques

• Digital filtering for Biomedical Signal quality enhancement

• Adaptive techniques for Biomedical Signal Analysis

• Biomedical Signal feature extraction and analysis

• Machine Learning and AI techniques for Biomedical Signal Analysis

• Wearables, Digital Healthcare, and Internet of Medical Things (IoMT)

• Remote Monitoring of Biomedical Signals

• Biomedical Signals for multimodal medical decision making

• Information and Communication technology for Biomedical Signal Processing

Submissions in all formats/styles including full-transactions papers (original research/technology and code), perspective/vision papers, tutorials/surveys (reviews), magazines (mini review), letters (brief research report), as well as replies and comments are encouraged. All studies must contribute insights into the fundamental aspects of Biomedical Signals Processing and its applications.

Submission

Copyright Statement