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Updated: Jan 1, 2026

Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
Objectively Monitoring Amyotrophic Lateral Sclerosis Patient Symptoms During Clinical Trials With Sensors:
Luis Garcia-Gancedo1, Madeline L Kelly2, Arseniy Lavrov3
1Advanced Biostatistics & Data Analytics Centre of Excellence, R&D Projects Clinical Platforms & Sciences, GlaxoSmithKline, Stevenage, United Kingdom.
Remote monitoring using a digital platform showed feasibility for collecting physical activity, heart rate variability, and speech data in Amyotrophic Lateral Sclerosis (ALS) patients. While speech data was successful, physical activity data quantity was lower than anticipated, though still useful for novel endpoints.
Area of Science:
- Biomedical Engineering
- Neurology
- Digital Health
Background:
- Objective symptom monitoring in Amyotrophic Lateral Sclerosis (ALS) is crucial for assessing real-world functional capacity.
- Home-based data collection offers valuable insights for clinical trials and understanding disease impact.
Purpose of the Study:
- To evaluate the feasibility of a novel digital platform for remote data collection in 25 ALS patients.
- To assess the collection of physical activity, heart rate variability (HRV), and digital speech characteristics over 48 weeks.
- To explore the impact of remote monitoring devices on patients' daily lives and their tolerability.
Main Methods:
- An observational, noncontrolled, non-drug study involving 25 ALS patients.
- Patients attended quarterly clinical visits for sensor tasks and conventional monitoring.
- Home monitoring involved wearing a sensor for approximately 3 days monthly.
Main Results:
- Digital speech data captured in-clinic met expectations.
- Home monitoring yielded less physical activity data than anticipated (65% of protocol time points).
- Lower quality HRV data and mild skin irritation (6/25 patients) were observed; no serious adverse events occurred.
Conclusions:
- The digital platform is feasible for measuring home-based physical activity in ALS patients.
- Despite lower data quantity, physical activity monitoring can support novel endpoint investigations.
- Future research leveraging objective monitoring and technology can identify digital biomarkers for ALS progression.
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