BS, MS, DPhil
Researcher in Wearables Sensors
Leading initiatives to integrate wearables into clinical patient montioring
Scott is a researcher in wearable sensors, currently funded by the Wellcome Trust to create validated wearable sensor datasets informing reproducible machine learning models for perioperative monitoring in clinical research and for the prediction of cardiovascular disease in large-scale epidemiological studies. Scott previously served as the Engineering Director of the Orthopaedic Biomedical Engineering Laboratory for the Joint Replacement Surgeons of Indiana Research Foundation (2007-2016), where he led numerous orthopaedic studies focused on improving implant design and surgical techniques in knee and hip arthroplasty. In that position, Scott was also responsible for the teaching activities of the foundation and supervised over 40 engineering research students. From 2016 to 2018, Scott, his wife Katie, and their three children lived in Chiang Mai, Thailand, in volunteer support of the anti-human trafficking NGO, International Justice Mission.
Completing a DPhil in Musculoskeletal Sciences as a Clarendon Scholar at the University of Oxford, Scott’s doctoral research focused on integrating wearable technology into clinical orthopaedic practice to monitor rehabilitation and improve recovery following knee arthroplasty. Scott additionally holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Biomedical Engineering from Rose-Hulman Institute of Technology in Terre Haute, Indiana. In 2014 he was awarded the Distinguished Young Alumni Award by the institute for his work in orthopaedic research and teaching.
Device-Measured Physical Activity in 3,511 Individuals with Knee or Hip Arthroplasty
Small SR. et al, (2023)
Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
Small SR. et al, (2023)
Impact of reduced sampling rate on accelerometer-based physical activity monitoring and machine learning activity classification
Small S. et al, (2021), Journal for the measurement of physical behaviour, 4, 298 - 310
Impact of Reduced Sampling Rate on Accelerometer-based Physical Activity Monitoring and Machine Learning Activity Classification
Small SR. et al, (2020)
Current clinical utilisation of wearable motion sensors for the assessment of outcome following knee arthroplasty: a scoping review.
Small SR. et al, (2019), Bmj open, 9