Abstract Introduction Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situation...
Abstract Wearable inertial sensors can be used to monitor mobility in real-world settings over exte...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Introduction Advances in wearable sensor technology now enable frequent, objective monitoring of rea...
Introduction Existing mobility endpoints based on functional performance, physical assessments and p...
Introduction Existing mobility endpoints based on functional performance, physical assessments and p...
Introduction: Existing mobility endpoints based on functional...
Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-...
Abstract Introduction Advances in wearable sensor technology now enable frequent, objective monitor...
Abstract Background: The development of optimal strategies to treat impaired mobility related to ag...
Background: The development of optimal strategies to treat impaired mobility related to ageing and c...
BACKGROUND: The development of optimal strategies to treat impaired mobility related to ageing and c...
Abstract Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressi...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Dataset includes 2.5 hours real-world data, for one participant from each of the technical validatio...
Abstract Wearable inertial sensors can be used to monitor mobility in real-world settings over exte...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Introduction Advances in wearable sensor technology now enable frequent, objective monitoring of rea...
Introduction Existing mobility endpoints based on functional performance, physical assessments and p...
Introduction Existing mobility endpoints based on functional performance, physical assessments and p...
Introduction: Existing mobility endpoints based on functional...
Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-...
Abstract Introduction Advances in wearable sensor technology now enable frequent, objective monitor...
Abstract Background: The development of optimal strategies to treat impaired mobility related to ag...
Background: The development of optimal strategies to treat impaired mobility related to ageing and c...
BACKGROUND: The development of optimal strategies to treat impaired mobility related to ageing and c...
Abstract Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressi...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Dataset includes 2.5 hours real-world data, for one participant from each of the technical validatio...
Abstract Wearable inertial sensors can be used to monitor mobility in real-world settings over exte...
Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need f...
Introduction Advances in wearable sensor technology now enable frequent, objective monitoring of rea...