Gaya is a PhD student funded by the UKRI (UK Research and Innovation) and working on applying wearable sensor technology in healthcare to study motor behaviour in neurological disorders. Following her MRes in Experimental Neuroscience at Imperial College London, she seeks to develop scalable interventions that can improve patient care on a global scale.
Research brief: The variability of motor outcomes following neurological damage makes predicting recovery and optimising rehabilitation strategies difficult. Current motor assessments are limited by a lack of precision, the subjectivity of ‘by eye’ observations, and intermittent nature. Wearable motion sensors, including commercially available smartwatches, present exciting opportunities to harness their inertial data for improved patient evaluations. The aim is to build novel machine learning models to study movement behaviour, particularly across daily life, using sensor data and identify motor biomarkers that reliably determine motor functionality and predict prognoses.