The continuous advancements in sensing and computing technologies have enabled the development of smart and intelligent healthcare systems by integrating classical clinical practices with modern AI-based techniques. AI is now being extensively utilized for addressing critical challenges related to human health and wellbeing in both clinical and research perspectives. The Intelligent Biomedical Applications (IBA) lab at SPCAI envisions coping with the emerging problems of human health and wellbeing by conducting and translating AI-based research (leveraging the areas of machine learning, advanced biomedical signal processing, medical imaging, and pattern recognition) to design and development of intelligent healthcare solutions and applications. Therefore, the IBA lab primarily focuses on advancing state-of-the-art real-time health monitoring systems, introducing novel sensing modalities for human activity monitoring and behavior cognition, and integrating intelligent data analysis techniques within biomedical information systems to develop research-oriented yet reliable solutions for biomedical applications. The mission of the lab is to innovate, design, develop, and validate AI-based solutions for medical and clinical usage that span over the areas relevant to accidental falls, cardiovascular diseases, motor, and movement disorders, human behavior anomalies, pathology detection, pandemic prediction, motor rehabilitation, mental disorders, and bionics.
The IBA Lab is furnished with the latest technology and state-of-the-art equipment for data acquisition, processing, and analysis supported by a variety of computational resources, tools, and platforms.
Simulation resources include software like Matlab and Python IDE (PyCharm, Anaconda, Spyder) for running data processing and analysis algorithms. The computational resources include High-Performance Computing (HPC) and workstations.