Kinematic data predict risk of future falls in patients with Parkinson’s disease without a history of falls: A five-year prospective study
Max Brzezicki, Charalampos Sotirakis, Niall Conway, James J FitzGerald, Chrystalina Antoniades · FENS Forum 2024
Parkinson’s disease (PD) is associated with an increased risk of falls. For people living with PD, experiencing a fall can lead to multiple injuries and significant health decline. An accurate falls risk assessment is therefore needed for care planning and targeted fall prevention programmes. Traditional fall risk assessment relies on clinical assessment which may be subjective and time-consuming. More recent approaches utilised sensor data but so far offered only up to one year of follow-up. We tested whether a short sensor-based assessment can predict the first fall in up to five years. 104
ePoster · Neuroscience