ERES INTERNATIONAL JOURNAL OF BIO SIGNAL AND IMAGE PROCESSING

ISSN ONLINE: 2349-2236 | PRINT: 2349-5529

Aim

The ERES International Journal of Biosignal and Image Processing aims to provide a high-quality platform for researchers, academicians, and industry professionals to publish innovative research and advancements in the fields of biosignal processing and image analysis. The journal focuses on promoting interdisciplinary research that integrates engineering, medical sciences, and computational techniques to address real-world healthcare and biological challenges.

Scope

The journal invites original research articles, review papers, and case studies in (but not limited to) the following areas:

• ECG, EEG, EMG signal analysis
• Biomedical signal acquisition and preprocessing
• Noise reduction and filtering techniques
• Time-frequency and spectral analysis
• Wearable health monitoring systems
• AI and machine learning in biosignal analysis

• Medical imaging modalities (MRI, CT, Ultrasound, X-ray)
• Image enhancement, segmentation, and reconstruction
• Computer-aided diagnosis (CAD) systems
• Deep learning in medical imaging
• 3D/4D image analysis

• Biomedical engineering and healthcare systems
• Telemedicine and e-health technologies
• Brain-computer interface (BCI)
• Bioinformatics and computational biology
• Smart healthcare and IoT-based medical systems

• AI-driven healthcare analytics
• Big data in biomedical applications
• Augmented and virtual reality in medical imaging
• Precision medicine and personalized healthcare
• Robotics in medical imaging and diagnostics