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Related Experiment Video

Updated: Jun 25, 2025

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data.

Marta Karas¹, Julia Olsen¹, Marcin Straczkiewicz¹

¹Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave., Boston, Massachusetts, 02115, USA.

Annals of Clinical and Translational Neurology

|May 31, 2024

Summary

Smartphone sensors can track physical activity in people with amyotrophic lateral sclerosis (PALS). This data may help monitor disease progression and inform future research.

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Area of Science:

Neurology
Biomedical Engineering
Digital Health

Background:

Smartphone sensors offer unobtrusive, long-term monitoring of physical activity and mobility.
This technology holds potential for disease monitoring in individuals with amyotrophic lateral sclerosis (PALS).

Purpose of the Study:

To investigate the utility of passively collected smartphone sensor data for assessing physical changes in PALS.
To correlate sensor-derived physical activity measures with ALS Functional Rating Scale-Revised (ALSFRS-R) scores.

Main Methods:

Sixty-three PALS used the Beiwe mobile application for accelerometer and GPS data collection.
ALSFRS-R scores were collected via self-entry surveys.
Linear mixed-effect models analyzed associations between sensor data and ALSFRS-R scores.

Main Results:

The study included 45 PALS with a mean observation period of 292.3 days.
A significant monthly decline in ALSFRS-R total score (-0.48, p<0.001) was observed.
Four sensor-derived measures (walking cadence, step count, Activity Index) showed significant changes over time and correlation with ALSFRS-R scores.

Conclusions:

Smartphone sensors can effectively and unobtrusively track physical changes in PALS.
This approach shows promise for aiding disease monitoring and advancing research in amyotrophic lateral sclerosis.