Aims:

The Journal of Electronics, Electromedical Engineering, and Medical Informatics, JEEEMI, is an international, peer-reviewed, open-access journal dedicated to publishing original, high-quality, and scientifically rigorous research in biomedical engineering, electromedical systems, intelligent medical electronics, and medical informatics. The journal aims to advance healthcare technology by disseminating studies that offer clear novelty, methodological robustness, technical depth, and validated relevance to international readers.

JEEEMI serves as a multidisciplinary forum for researchers, engineers, clinicians, and health-technology innovators working at the intersection of engineering, computing, and healthcare. The journal particularly seeks contributions that address clinically meaningful or translationally important challenges in diagnosis, monitoring, rehabilitation, treatment support, and digital health.

Scope:

Intelligent Medical Electronics and Electromedical Systems

• Biomedical sensors and transducers
• Embedded and real-time systems for healthcare applications
• Medical device design, control, calibration, and validation
• Wearable, portable, implantable, and point-of-care systems
• Rehabilitation engineering, prosthetics, orthotics, and assistive technologies
• Safety, reliability, and performance evaluation of electromedical systems

Biomedical Signal, Image, and Data Analytics

• Processing and analysis of ECG, EMG, EEG, PPG, and multimodal biosignals
• Medical image analysis and computational imaging
• Pattern recognition, feature extraction, classification, and prediction in biomedical data
• Artificial intelligence, machine learning, and deep learning for healthcare technologies
• Explainable, interpretable, and trustworthy AI for biomedical applications
• Multimodal sensing and data fusion for diagnosis and monitoring

Medical Informatics and Digital Health Systems

• Clinical decision support systems
• Health information systems and interoperable medical data platforms
• Telemedicine, telehealth, and remote patient monitoring
• Intelligent digital health systems for clinical workflow support
• Computational methods for personalized and connected healthcare

Translational Healthcare Engineering

• Experimentally validated healthcare technologies
• Comparative evaluation of biomedical algorithms, devices, and systems
• Engineering innovations with demonstrated clinical, operational, or societal relevance