Digital Biomarkers in the Assessment of Mobility in Individuals with Multiple Sclerosis

Abstract

The aim of this study was to investigate signal patterns and parameters of digital biomarkers in the assessment of mobility in individuals with multiple sclerosis, captured through motion sensors. This is an integrative literature review based on the PRISMA recommendations, which included studies that used wearable technology, such as accelerometers, wearable sensors or inertial sensors, and analyzed mobility/gait-related parameters, such as speed, step count, rhythm, balance, duration and intensity of activity. A total of 1602 studies were identified, of which only 21 were included in the final qualitative synthesis. The main digital biomarkers identified presented signal patterns and parameters captured through different wearable devices, including triaxial accelerometers, inertial sensors, smartphones or smartwatches. The studies employed different objective biomarker reference measures, such as walking speed and step count, and subjective biomarker reference measures, such as fatigue and quality of life assessment scales, for a comprehensive assessment of the participants’ health and mobility. It was found that digital biomarkers play a fundamental role in any individual’s health assessment and protocols. However, it is essential to understand these signals and standardize the choice of the best method to capture signals of high quantity and quality, especially for individuals affected by some neurological pathology.