# REEV SENSE IMUs for Spatiotemporal Gait Analysis in Post-Stroke Patients: Validation Against Optical Motion Capture

## TL;DR

The REEV SENSE IMU reliably measures temporal gait parameters in post-stroke patients but struggles with spatial parameters at slow walking speeds.

## Contribution

The study validates REEV SENSE as a portable, cost-effective alternative to optical systems for temporal gait analysis in post-stroke rehabilitation.

## Key findings

- Temporal gait parameters (contact time, stride duration, cadence) show excellent reliability (ICC 0.95–0.99).
- Spatial parameters like stride length degrade in slow-walking conditions (<0.4 m/s), especially when using assistive devices.
- REEV SENSE is suitable for longitudinal monitoring of temporal gait parameters in clinical settings.

## Abstract

What are the main findings?
REEV SENSE achieves excellent reliability for temporal parameters, comparable to commercial systems, but spatial parameters degrade in slow-walking regimes (<0.4 m/s).Assistive device use substantially reduces accuracy for spatial parameters and swing time detection, reflecting challenges in asymmetric, low-speed gait analysis.

REEV SENSE achieves excellent reliability for temporal parameters, comparable to commercial systems, but spatial parameters degrade in slow-walking regimes (<0.4 m/s).

Assistive device use substantially reduces accuracy for spatial parameters and swing time detection, reflecting challenges in asymmetric, low-speed gait analysis.

What are the implications of the main finding?
REEV SENSE is suitable for portable, cost-effective longitudinal monitoring of temporal gait parameters in clinical post-stroke rehabilitation.Spatial parameters require independent validation in slow-walking conditions (<0.4 m/s); parameter-specific clinical protocols are essential for safe implementation.

REEV SENSE is suitable for portable, cost-effective longitudinal monitoring of temporal gait parameters in clinical post-stroke rehabilitation.

Spatial parameters require independent validation in slow-walking conditions (<0.4 m/s); parameter-specific clinical protocols are essential for safe implementation.

Objective gait assessment is essential for post-stroke rehabilitation monitoring, yet optical motion capture systems remain inaccessible to most clinical settings due to cost and infrastructure constraints. This study assessed the validity of the REEV SENSE IMU for measuring spatiotemporal gait parameters in post-stroke individuals and evaluated assistive device effects on measurement accuracy. Twenty chronic post-stroke participants were enrolled, and fourteen completed the study (ten without an assistive device, four using a cane) after applying pre-defined exclusion criteria (walking speed <0.28 m/s, n = 6). Participants walked at self-selected speed while simultaneously being recorded by REEV SENSE IMUs and optical motion capture. Spatiotemporal parameters from matched heel strikes were compared using intraclass correlation coefficients (ICC), mean relative error (MRE), and Bland–Altman analysis. Temporal parameters demonstrated excellent reliability: contact time (ICC 0.96–0.99, MRE 2.77–5.45%), stride duration (ICC 0.95–0.99, MRE 2.57–2.62%), and cadence (ICC 0.98–0.99, MRE 1.80–1.93%). Spatial parameters showed greater variability, with stride length degrading substantially in slow-walking conditions (Cane group: ICC 0.76, MRE 8.60%). REEV SENSE provides reliable temporal parameter measurement comparable to commercial systems, positioning it as a practical tool for clinical gait monitoring in post-stroke rehabilitation. However, spatial parameter accuracy requires cautious interpretation in slow-walking regimes, necessitating independent validation when clinical decisions depend on precise stride length estimates.