Engineering and Health Research Group (EHR-LAB)

The Engineering and Health Research Group (EHR-LAB) at Tarsus University is an interdisciplinary and innovative research center focused on advancing Engineering solutions for Healthcare. Our group leverages state-of-the-art engineering techniques and collaborative research to tackle challenges in the diagnosis, treatment, and management of diseases, particularly in the neuromuscular, musculoskeletal, and cardiovascular systems.  EHR-LAB emphasises an approach that combines academic research with practical engineering and technical applications to improve healthcare outcomes such as diagnosis, treatment, and preventive medicine.

Mission: EHR-LAB is dedicated to fostering the development of health technologies through partnerships with clinicians, industry leaders, and researchers from a variety of disciplines. The group aims to:

• To develop innovative diagnostic and therapeutic technologies, including biomechanical and electrophysiological tools in diagnosis and treatment (Rehabilitation).
• Exploring neurophysiology and biomechanics to understand human movement and physical health.
• Collaborate in translational research to address unmet clinical needs in the areas of health promotion and rehabilitation of diseases, especially musculoskeletal
• To develop clinical decision support systems by integrating biomedical signal and image processing with artificial intelligence
• Working with our industry partners and healthcare professionals to design solutions for practical challenges in the healthcare sector

Vision: EHR-LAB aims to be a strong centre for biomedical engineering innovation in our region by collaborating with international researchers and stakeholders. EHR-LAB research group is dedicated to combining engineering disciplines with medical expertise to produce impactful research that not only contributes to scientific knowledge through technology but also directly improves patient care, patients' quality of life, healthcare, and societal health.
The main focus areas of our group are biomedical signal and image processing, biomechanics, neurophysiology and clinical decision systems, applications of artificial intelligence and or machine learning in healthcare, technology-assisted therapy, developing tools for the diagnosis and treatment of diseases (neurological disorders, musculoskeletal system, cardiovascular disorders etc.), neurological and geriatric rehabilitation, paediatric rehabilitation, orthopaedic rehabilitation, exercise biomechanics and sports performance, balance, postural control, gait analysis, structural dynamics and system identification.