September 10, 2025SensorsOpen Access

Extraction of Clinically Relevant Temporal Gait Parameters from IMU Sensors Mimicking the Use of Smartphones

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Observational analysis reveals moderate-to-strong correlations in gait parameters from IMUs, indicating potential for real-world monitoring.

Stride time predictions were highly accurate at less than 5% error, while double support time showed higher errors above 20%.
Moderate-to-strong correlations between predicted and observed gait parameters support the validity of IMU-based assessments.
The study included 52 participants walking at three speeds with an IMU, enhancing gait tracking outside laboratory settings.
Findings suggest IMU sensors mimicking smartphone use could facilitate remote gait monitoring and detect gait disorders.

Larsen et al. (2025) studied this question.

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Observational analysis reveals moderate-to-strong correlations in gait parameters from IMUs, indicating potential for real-world monitoring.