Gyroscopic Corrections Improve Wearable Sensor Data Prior to Measuring Dynamic Sway in the Gait of People with MS
Publication Year: 2016 / Journal: Computer Methods in Biomechanics and Biomedical Engineering
Accelerometer
Uncontrolled Head Oscillations in People with Parkinson’s Disease May Reflect an Inability to Respond to Perturbations While Walking
Publication Year: 2015 / Journal: Physiological Measurement
A comprehensive Movement and Motion training program improves mobility in Parkinson’s disease
Publication Year: 2019 / Journal: Aging Clinical and Experimental Research
Wearable Motion Sensors to Continuously Measure Real-World Physical Activities
Publication Year: 2013 / Journal: Current Opinion in Neurology
Validation of a Commercial Wearable Sensor System for Accurately Measuring Gait on Uneven Terrain
Publication Year: 2012 / Journal: American Society Biomechanics
Validation of a Lower Back “Wearable”-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson’s Disease and Older Adults in a Home-Like Environment
Publication Year: 2018 / Journal: Frontiers in Aging Neuroscience
Instrumenting the Rise-to-Toes Task with Wearable Inertial Sensors: A Pilot Application in Parkinson’s Disease and Frontal Gait Disorders
Publication Year: 2017 / Journal: Gait & Posture
Gait as a Biomarker? Accelerometers Reveal that Reduced Movement Quality while Walking is Associated with Parkinson’s Disease, Ageing and Fall Risk
Publication Year: 2014 / Journal: IEEE
Wearable Technology Reveals Gait Compensations, Unstable Walking Patterns and Fatigue in People with Multiple Sclerosis
Publication Year: 2018 / Journal: Physiological Measurement
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson’s disease
Publication Year: 2020 / Journal: Digital Medicine