This paper describes the development and characterization of a smart garment for
monitoring the environmental and biophysical parameters of the user wearing it; the …

Background Gait symptoms and balance impairment are characteristic indicators for the
progression in Parkinson's disease (PD). Current gait assessments mostly focus on straight …

Digital health metrics promise to advance the understanding of impaired body functions, for
example in neurological disorders. However, their clinical integration is challenged by an …

Alterations of balance and gait performance with advanced age reflect both physiological
aging of multiple body functions and structures, and the accumulation of pathologies …

Walking impairment is a debilitating symptom of Multiple Sclerosis (MS), a disease affecting
2.8 million people worldwide. While clinicians' in-person observational gait assessments are …

Wearable sensor systems are of increasing interest in clinical gait analysis. However, little
information about gait dynamics of patients under free living conditions is available, due to …

Artificial intelligence (AI) and machine learning (ML) methods are currently widely employed
in medicine and healthcare. A PubMed search returns more than 100,000 articles on these …

Lumbar spinal canal stenosis (LSS) is characterized by gait abnormalities, and objective
quantitative gait analysis is useful for diagnosis and treatment. This review aimed to provide …

Abstract The Internet of Things has brought unprecedented technological innovation to
smart homes, but the impact of this change on technology and users is limited and …

Identifying and monitoring overpronation and oversupination in the long term during
activities of daily living are essential for people's ambulatory health. Using an in-shoe motion …