Journal Information
IECE Transactions on Digital Health and Biosignal Processing
Online ISSN: request pending
Print ISSN: request pending
Publishing model: Hybrid
DOI Prefix: 10.62762/TDHBP
Aims & Scope
The IECE Transactions on Digital Health and Biosignal Processing (TDHBP) is an international, peer-reviewed journal dedicated to publishing high-quality research and innovative developments in the fields of digital health technologies and biosignal processing. The journal aims to advance the understanding, design, and application of cutting-edge tools and methods that bridge healthcare and biomedical engineering.
Aims
The journal seeks to:
• Foster the development of new technologies and algorithms for improving health outcomes through digital and biosignal innovations.
• Serve as a platform for interdisciplinary research connecting medicine, engineering, computer science, and data analytics.
• Promote practical applications of digital health and biosignal processing techniques in clinical settings, remote monitoring, and personalized healthcare.
Scope
The journal welcomes submissions of original research articles, review papers, and case studies on topics including but not limited to:
Digital Health Technologies:
• Telemedicine and remote healthcare systems.
• Mobile health (mHealth) applications and wearable devices.
• Digital therapeutics and personalized healthcare solutions.
• Integration of artificial intelligence (AI) in digital health.
Biosignal Processing:
• Signal acquisition, analysis, and feature extraction.
• Advanced techniques for processing physiological signals such as ECG, EEG, EMG, and PPG.
• Multimodal biosignal fusion and integration.
• Noise reduction and artifact removal in biomedical signals.
AI and Data Analytics in Health:
• Machine learning and deep learning applications in biosignal analysis.
• Predictive modeling and diagnostic tools.
• Big data analytics in digital health.
Innovative Applications:
• Biosignal-based disease detection, monitoring, and management.
• Cognitive and neurological health monitoring.
• Applications in cardiology, neurology, respiratory medicine, and rehabilitation.
Health Systems and Cybersecurity:
• Cybersecurity and data privacy in digital health systems.
• Standardization and interoperability of healthcare technologies.
• Ethical considerations in digital health innovation.
Emerging Trends:
• Digital twins in healthcare and personalized medicine.
• Blockchain and decentralized systems in health data management.
• Integration of biosignals with IoT and smart healthcare ecosystems.
Audience
The journal is designed for researchers, clinicians, engineers, and industry professionals working in digital health, biomedical signal processing, and related fields. It also welcomes contributions from policymakers and stakeholders interested in the implementation of digital health solutions.
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.