Intelligent Biomedical Instrumentation: Signal Processing, Sensor Fusion, and AI-Driven Optimization

Dear Colleagues,

Recent advances in intelligent biomedical instrumentation are revolutionizing healthcare by integrating advanced signal processing, sensor fusion, and artificial intelligence (AI). The growing complexity of physiological signals and multimodal biomedical data demands robust computational methods that deliver accurate, reliable, real-time analysis for clinical diagnosis, patient monitoring, and therapeutic applications. This Topic aims to showcase innovative engineering solutions that enhance the performance, efficiency, and intelligence of modern biomedical instrumentation.

We invite original research and reviews addressing advanced biomedical signal acquisition and processing, AI-driven optimization, multimodal sensor fusion, intelligent sensing systems, embedded intelligence, and edge computing for healthcare applications. Contributions focusing on wearable and implantable devices, Internet of Medical Things (IoMT) technologies, biomedical image analysis, explainable AI, intelligent decision-support systems, and real-time monitoring are encouraged. The Topic also welcomes studies on hardware–software co-design, smart medical devices, digital health technologies, and advanced manufacturing approaches, including additive manufacturing, flexible electronics, microfabrication, and novel biomaterials that improve the functionality, reliability, and clinical translation of biomedical instrumentation.

By bringing together researchers from biomedical engineering, signal processing, sensor technologies, and AI, this Topic seeks to promote interdisciplinary innovations that advance next-generation intelligent biomedical devices and improve patient-centered healthcare.

We are pleased to invite researchers and practitioners to submit their latest cutting-edge research on intelligent biomedical instrumentation, with a particular focus on integrating advanced signal processing, sensor fusion, and AI-driven optimization for healthcare applications. This Topic aims to showcase innovative methodologies, intelligent sensing technologies, and engineering solutions that enhance the performance, reliability, and clinical translation of next-generation biomedical devices and systems.

Research areas include, but are not limited to, the following:

1. Biomedical Signal Processing and AI-Driven Optimization

   * Biomedical signal and image analysis

   * Machine learning and deep learning

   * Feature extraction, denoising, and pattern recognition

   * Explainable AI and intelligent decision support

2. Intelligent Sensors and Biomedical Instrumentation

   * Smart biomedical sensors and wearable devices

   * Multimodal sensor fusion

   * Embedded intelligence and edge computing

   * Internet of Medical Things (IoMT)

3. Medical Devices and Intelligent Healthcare Systems

   * Real-time patient monitoring

   * Smart diagnostic and therapeutic systems

   * Hardware–software co-design

   * Intelligent medical instrumentation and digital health technologies

4. Advanced Biomedical Engineering Technologies

   * Additive manufacturing and 3D printing of medical devices

   * Flexible and printed electronics

   * Microfabrication and MEMS-based biomedical systems

   * Novel biomaterials for intelligent biomedical applications

We look forward to receiving your contributions.

Prof. Dr. Igor Vujović
Prof. Dr. Joško Šoda
Dr. Maja Rogić Vidaković
Topic Editors