Abstract
Abstract We propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. We devised convergence points (CP) for the bilateral walking analysis based on gait parameters, e.g. stride duration using regression- modelling to estimate similarity between body sides. The physical activity (PA) was devised to evaluate the energy expenditure of all extremities during training and free-living. The functional range of motion (fROM) is a digital biomarker to quantify the upper arm reaching ability, represented in 3D visualisations. In this work, we detail CP, PA, and fROM to derive rehabilitation insights for personalising therapies. We evaluated the proposed digital biomarkers in a clinical observation study with 11 patients after stroke during their rehabilitation including therapy and self-paced daily routines.
Highlights
The functional range of motion is a digital biomar- With wearable sensors, i.e. inertial measurement units (IMUs), patient movement in freeker to quantify the upper arm reaching ability, represented in living could be monitored, mobility behaviour and
We propose three novel digital biomarkers for longitudinal, bilateral movement evaluation, which are viable for therapy and free-living
We investigated an approach to analyse the functional range of motion of the upper arms
Summary
A total of of eleven hemiparetic outpatients were included in our study (5 females, aged 34 to 75 years, 4 wheelchair users). All study participants visited the day-care centre in the rehabilitation clinic at the Reha Rheinfeleden (Switzerland). Before the data recordings began, all patients signed a written. All sensor modalities (3-axis accelerometer, gyroscope, and magnetometer) were sampled with 50Hz and sensor data were stored on the internal SD-card
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