Abstract Digital Health Technologies (DHTs) such as connected sensors offer particular
promise for improving data collection and patient empowerment in neurology research and …

Sensor-based remote monitoring could help better track Parkinson's disease (PD)
progression, and measure patients' response to putative disease-modifying therapeutic …

Abstract The EVIDENCE (EValuatIng connecteD sENsor teChnologiEs) checklist was
developed by a multidisciplinary group of content experts convened by the Digital Medicine …

Background Although human gait is typically studied in a laboratory environment, the
findings of laboratory-based gait assessments are often applied to daily life scenarios …

Wearable inertial sensors are providing enhanced insight into patient mobility and health.
Significant research efforts have focused on wearable algorithm design and deployment in …

Human gait analysis aims to assess gait mechanics and to identify the deviations from
“normal” gait patterns by using meaningful parameters extracted from gait data. As each …

Wearable sensors facilitate the evaluation of gait and balance impairment in the free-living
environment, often with observation periods spanning weeks, months, and even years. Data …

Introduction Analysing gait in controlled conditions that resemble daily life walking could
overcome the limitations associated with gait analysis in uncontrolled real-world conditions …

Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of
their injury. Gait assessments can objectively track the progress during rehabilitation and …

Research on ocular biometric systems in unrestricted environment has grown steadily over
the last decade. Though sclera recognition is widely investigated as an alternative or …