Richard M Kwasnicki1, Raza Ali2, Stevan J Jordan3, Louis Atallah2, Julian J H Leong3, Gareth G Jones3, Justin Cobb4, Guang Zhong Yang2, Ara Darzi2. 1. Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, United Kingdom. Electronic address: RMK107@imperial.ac.uk. 2. Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, United Kingdom. 3. Department of Surgery and Cancer, Imperial College London, United Kingdom. 4. Imperial College Healthcare NHS Trust, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom.
Abstract
BACKGROUND: Total knee replacement currently lacks robust indications and objective follow-up metrics. Patients and healthcare staff are under-equipped to optimise outcomes. This study aims to investigate the feasibility of using an ear-worn motion sensor (e-AR, Imperial College London) to conduct objective, home-based mobility assessments in the peri-operative setting. METHODS: Fourteen patients on the waiting list for knee replacement, and 15 healthy subjects, were recruited. Pre-operatively, and at 1, 3, 6, 12 and 24 weeks post-operatively, patients underwent functional mobility testing (Timed Up and Go), knee examination (including range of motion), and an activity protocol whilst wearing the e-AR sensor. Features extracted from sensor motion data were used to assess patient performance and predict patients' recovery phase. RESULTS: Sensor-derived peri-operative mobility trends correlated with clinical measures in several activities, allowing functional recovery of individual subjects to be profiled and compared, including the detection of a complication. Sensor data features enabled classification of subjects into normal, pre-operative and 24-week post-operative groups with 89% (median) accuracy. Classification accuracy was reduced to 69% when including all time intervals. DISCUSSION: This study demonstrates a novel, objective method of assessing peri-operative mobility, which could be used to supplement surgical decision-making and facilitate community-based follow-up.
BACKGROUND: Total knee replacement currently lacks robust indications and objective follow-up metrics. Patients and healthcare staff are under-equipped to optimise outcomes. This study aims to investigate the feasibility of using an ear-worn motion sensor (e-AR, Imperial College London) to conduct objective, home-based mobility assessments in the peri-operative setting. METHODS: Fourteen patients on the waiting list for knee replacement, and 15 healthy subjects, were recruited. Pre-operatively, and at 1, 3, 6, 12 and 24 weeks post-operatively, patients underwent functional mobility testing (Timed Up and Go), knee examination (including range of motion), and an activity protocol whilst wearing the e-AR sensor. Features extracted from sensor motion data were used to assess patient performance and predict patients' recovery phase. RESULTS: Sensor-derived peri-operative mobility trends correlated with clinical measures in several activities, allowing functional recovery of individual subjects to be profiled and compared, including the detection of a complication. Sensor data features enabled classification of subjects into normal, pre-operative and 24-week post-operative groups with 89% (median) accuracy. Classification accuracy was reduced to 69% when including all time intervals. DISCUSSION: This study demonstrates a novel, objective method of assessing peri-operative mobility, which could be used to supplement surgical decision-making and facilitate community-based follow-up.
Authors: Scott R Small; Garrett S Bullock; Sara Khalid; Karen Barker; Marialena Trivella; Andrew James Price Journal: BMJ Open Date: 2019-12-29 Impact factor: 2.692
Authors: Abhinav K Sharma; Jonathan M Vigdorchik; David A Kolin; Ameer M Elbuluk; Eric N Windsor; Seth A Jerabek Journal: Arthroplast Today Date: 2022-01-18