Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, Julius Welzel, Gerhard Schmidt, Walter Maetzler

TL;DR
This study shows that IMUs on the shank can accurately detect gait events during straight and curved walking, but performance drops during turning.
Contribution
The study validates IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients.
Findings
IMUs on the shank achieved high accuracy for detecting gait events during straight-line and slalom walking.
Gait event detection during turning had lower precision and recall compared to straight-line walking.
More false events and missed events occurred during turning, suggesting the need to identify turning before analyzing gait parameters.
Abstract
Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease. Previous research has shown that gait events can be detected from a shank-mounted inertial measurement unit (IMU), however detection performance was often evaluated only from straight-line walking. For use in daily life, the detection performance needs to be evaluated in curved walking and turning as well as in single-task and dual-task conditions. Participants (older adults, people with Parkinson’s disease, or people who had suffered from a stroke) performed three different walking trials: (1) straight-line walking, (2) slalom walking, (3) Stroop-and-walk trial. An optical motion capture system was used a reference system. Markers were attached to the heel and toe regions…
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Taxonomy
TopicsBalance, Gait, and Falls Prevention · Diabetic Foot Ulcer Assessment and Management · Gait Recognition and Analysis
