Recent advances in modern technologies based on wearables, sensors, or videos allow the acquisition of continuous real-time datasets relating to many aspects of an individual’s life. Wearable technologies such as accelerometers may be able to complement traditional clinical outcome assessments in paediatric research, addressing both clinical and research needs in a patient-centred and minimally intrusive fashion.
Wearable sensor technologies have the potential to provide additional information for our understanding of ambulation in chronic paediatric disease. As technology continues to evolve at a rapid pace, opportunities to implement child-friendly solutions are already available.
The objective of this paper is to determine the utility of wearable technologies in physical activity assessment in three paediatric diseases, namely, Niemann-Pick C (NP-C), Juvenile Idiopathic Arthritis (JIA) and Duchenne Muscular Dystrophy (DMD).
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