Wearable Sensors in Gait Assessment for Parkinson Disease and Stroke in Real-World Environments: Systematic Review and Meta-Analysis.
Saskia Neumann, Jose Albites-Sanabria, Aileen C Naef et al.
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In 30 seconds
This systematic review and meta-analysis evaluated the use of wearable sensors for gait assessment in patients with Parkinson disease (PD) and stroke. It included 43 studies, primarily focusing on PD (2774 participants). The analysis revealed a pooled gait speed of 0.84 m/s (95% CI 0.77-0.91) and highlighted significant methodological heterogeneity, particularly in stroke, where no consistent parameters were identified.
Key findings
- Pooled gait speed in PD was 0.84 m/s (95% CI 0.77-0.91).
- Daily step count in PD averaged 7202 steps (95% CI 3975-10,429), with a PI extending below zero.
- Methodological quality was high, but external validity was the weakest domain across both populations.
- No stroke gait parameters were reported consistently enough for meta-analysis.
Why it matters
Understanding gait parameters in real-world settings can enhance remote monitoring and clinical care for patients with walking impairments. This study underscores the need for standardized methodologies to improve the reliability of wearable sensor data.