Sensing Technology and Data Modeling for Spinal Cord Injury Healthcare
Our research in wearable sensing technology for healthcare focuses on improving outpatient care applied to chronic Spinal Cord Injury (SCI). The new research group at the SCAI-lab founded through the Swiss Paraplegic Foundation aims to identify various common functional disorders and diseases at an early stage by employing intelligent collection and analysis of large multimodal and heterogeneous data.
Our vision is to identify direct and indirect digital biomarkers leveraging advanced machine learning and statistical modelling for personalized disease predictive systems in clinical practice. Enabling clinical decision making and interventional strategies.
Contact
Dr. Diego Paez-GranadosWebsite
Due to the loss of sensation, persons with SCI do not perceive warning signs of medical problems, such as pain. Moreover, clinical symptoms are often either absent or unspecific e.g., new, or intensified spasticity may be a sign for a pressure injury, or an urinary tract infection.
We build upon comprehensive experience of sensing technologies for human behavior monitoring, and bio-signal processing for developing integrated methods for recognizing new patterns of clinical signs or symptoms for the early detection and prevention of diseases.