PTOtherJournal of neuroengineering and rehabilitation2024

Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors.

Francesco Lanotte, Shusuke Okita, Megan K O'Brien and 1 others

PMID 39707471

WHAT IT FOUND

In inpatient stroke rehabilitation, leg sensors with an enhanced algorithm found more foot-off and foot-contact events than the older algorithm, especially during slow or uneven walking.

It still timed swing phases poorly, so clinicians should not rely on all gait measures from it.

Key findings

01The enhanced algorithm found more foot-off and foot-contact events than the original algorithm, with 6% and 3% greater percentages.

02At slow walking, the enhanced algorithm found 20% and 11% more foot-off and foot-contact events than the original algorithm, and for asymmetric gait it found 10% and 6% more.

03The algorithm's estimates of stride, step, stance and double support times were reliable, but swing and single support times were not.

STILL TO COME

How it was doneWhat they foundWhat it means for PTs

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What it does not show

Forty-one participants were recruited, but Table 1 includes 39 after two participants withdrew. The analysis used 116 sessions collected before October 1, 2023, not every visit from every participant. Some assessments were skipped when a physical therapist judged them unsafe or inappropriate. Participants used prescribed assistive devices, orthotics and therapist assistance as needed. Two sensor brands were used because one was discontinued, and they sampled at 500 Hz and 100 Hz. The normal gait template for dynamic time warping was built from healthy controls, not from the stroke participants. Data were imbalanced across time points, and limited subgroup sample sizes reduced statistical power. Some participants were absent after hospital discharge, so fewer events were recorded at later time points. The sensors were on the lower legs, while the mat measured plantar pressure under the foot, so shank movement may not match foot contact exactly. Swing time and single support time estimates were not reliable. The study tested algorithm measurement performance, not whether the algorithm changes clinical decisions or patient outcomes.

Declared interests

The supplied text names the National Institute on Disability, Independent Living, and Rehabilitation Research as the funder. It does not state author conflicts of interest.

The easy way to misread this

Do not treat this as proof that leg-worn sensors can replace the instrumented mat. The enhanced algorithm still estimated swing time and single support time poorly, and the study tested measurement performance, not patient outcomes.

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