Related Experiment Video
Updated: Jun 9, 2025
Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational
Meghan Lukac1, Hannah Luben1, Anne E Martin1
1Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA.
Introduction:
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that alters gait and increases the risk of falls. The current model of care involves in-person multidisciplinary clinic visits to, in part, assess alterations in gait, evaluate safety, and make recommendations for management. Clinic visits, however, are relatively infrequent, and multidisciplinary evaluations can be physically demanding for patients. To better understand how gait changes over time in those with ALS and enable healthcare providers to properly respond to these changes, remote monitoring of functional mobility would be advantageous.
Methods:
The objective of this study was to remotely track long-term changes in walking speed using wearable inertial measurement units (IMUs). Nine ALS patients and 6 healthy controls submitted twice-weekly home walking recordings for 24 and 4 weeks, respectively. An IMU data processing method was developed and validated against laboratory-measured walking speed.
Results:
For both ALS patients and healthy controls, home walking speed was less than clinic walking speed by an average of 0.19 m/s (p = 0.0024). Over 24 weeks, home walking speed significantly decreased for 5 of 9 ALS patients at an average of -0.021 m/s/months (p = 0.005). Those who eventually transitioned to using assistive device (AD) while on the study demonstrated a greater decrease in walking speed than those who did not.
Conclusions:
Remote longitudinal gait monitoring of ALS patients is feasible with the use of an IMU. Decreases in walking speed were detected in the majority of patients, most strongly in those who eventually transitioned to an AD. Home walking speed may more accurately represent the walking abilities of ALS patients in their real-life environments, a finding which further supports the case for remote monitoring in ALS.
