Wearable Movement Sensors in Neuro-Rehabilitation
Cognition and Physiology
2011 - 2020
- Transform clinical diagnostics in neuromotor disorders by providing objective, patient-centred functional assessments of movement quality and quantity.
- Through developing innovative, science-based technology for aiding clinical-decision making, we aim to disrupt the state-of-the-art in early stage detection by functional assessments and monitoring, evaluating treatment efficacy and targeting therapies on the level of individuals, towards efficient clinical trials.
Research Targeting Unmet Clinical Needs
- Integration of multi-sensor data into daily clinical practice (diagnostics)
- Clinically valid and relevant data by bridging the gap between patients, clinicians, and researchers
- Target- and application-specific outcome measures by the reduction of big to small data
- Validation of movement sensors in both laboratory and clinical environments for the assessment of functional activities and activities related to mobility
- Qualitative and quantitative activity and capability profiles in clinical and home environments
- Objective and comparable metrics for clinical applications improving neuro-rehabilitation based on multi-sensor data
Patient-Specific Physical Activity Profiles
- Starting with the multi-center phase II clinical study NISCI (Nogo Inhibition in Spinal Cord Injury, http://nisci-2020.eu), we introduce a novel activity and care support system applicable to clinical environments to i) generate activity-related patient profiles, ii) compare different treatments and rehabilitation programs, iii) predict care trajectories, iv) set individualized activity goals, and v) provide motivational feedback.
- The system builds on the clinical data acquired by the so-called JUMP modules. The JUMP module is a compact, 10 degrees-of-freedom inertial measurement unit designed for long-term monitoring of human physical activity, developed within the ZurichMOVE consortium (http://www.zurichmove.com).