‌Journal Information

Frontiers in Biomedical Signal Processing

Online ISSN: request pending

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Publishing model:  Open Access

DOI Prefix: 10.62762/FBSP

Aims & Scope

Aims
Frontiers in Biomedical Signal Processing aims to serve as a leading platform for disseminating high-quality, peer-reviewed research in the field of biomedical signal processing. The journal is dedicated to advancing knowledge and innovation in the acquisition, analysis, interpretation, and application of biomedical signals for understanding biological systems, improving healthcare technologies, and fostering interdisciplinary collaboration between engineering, medicine, and life sciences.

The journal invites original research articles, reviews, and technical notes that contribute to the development of novel methods, algorithms, and systems for biomedical signal processing. With a focus on the rapidly evolving field, Frontiers in Biomedical Signal Processing also emphasizes translational research that bridges the gap between theoretical advancements and practical implementations in clinical and healthcare settings.

Scope
The journal covers a broad range of topics in biomedical signal processing, including but not limited to:

1. Biomedical Signal Acquisition and Preprocessing:

• Novel techniques for biomedical signal acquisition and sensor development.

• Noise reduction, artifact removal, and signal enhancement.

2. Signal Analysis and Feature Extraction:

• Time-domain, frequency-domain, and time-frequency analysis.

• Feature extraction techniques for physiological and pathological signal characterization.

3. Machine Learning and Artificial Intelligence in Signal Processing:

• Deep learning and AI techniques for biomedical signal classification and prediction.

• Personalized healthcare applications using advanced signal processing methods.

4. Multimodal Signal Integration:

• Fusion of multiple biomedical signal types, such as EEG, ECG, EMG, and fMRI.

• Development of integrated frameworks for data-driven healthcare.

5. Real-time Signal Processing Systems:

• Development of embedded systems and wearable technologies for continuous monitoring.

• Signal processing algorithms for real-time decision-making in critical care environments.

6. Biomedical Imaging and Signal Interfacing:

• Signal processing methods for enhancing biomedical imaging data.

• Integration of signals and images for improved diagnostics and therapy.

7. Applications in Health and Disease:

• Signal processing methods for detecting and diagnosing neurological, cardiovascular, and other disorders.

• Monitoring and rehabilitation technologies based on biomedical signals.

8. Emerging Areas in Biomedical Signal Processing:

• Novel methodologies for brain-computer interfaces (BCI) and neuroprosthetics.

• Signal processing techniques for telemedicine and digital health.

The journal welcomes contributions from engineers, data scientists, clinicians, and researchers working at the intersection of biomedical engineering, computer science, and healthcare. Interdisciplinary studies that push the boundaries of the field and address real-world challenges in biomedical signal processing are highly encouraged.

Publication Frequency

Quarterly

Ownership

The journal is owned by Institute of Emerging and Computer Engineering.

Archiving

All journals published by IECE are archived in Portico, which provides permanent digital archiving for scholarly journals.

Ethics Statement

IECE is responsible for implementing rigorous peer review and strict ethical policies and standards to ensure that high quality scientific work is added to the field of scholarly publishing. IECE takes such publishing ethics issues very seriously, and our editors are trained to enforce COPE's Core Practices and Guidelines, with a zero-tolerance policy for plagiarism, data falsification, and other behaviours. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.