Variable Cadence Gait Training Outcomes Using Rhythmic Auditory Stimulation Embedded in Older Adults' Preferred Music.

Older adults must have the ability to walk at variable speeds/distances to meet community demands. This single group pre-post test study's purposes were to examine if actual cadences after 7 weeks of rhythmic auditory stimulation gait training matched target cadences, improved walking distance, duration, velocity, maximum cadence, balance, enjoyment, and/or changed spatial/temporal gait parameters. Fourteen female adults (72.6 ± 4.4 years) participated in 14 sessions, while variable cadences were progressively introduced. Eleven older adult responders walked faster (3.8 steps/min) than one target cadence (-10% pace) while matching the target cadences for the other paces when walking with rhythmic auditory stimulation. Two nonresponders walked near their baseline cadence with little variability while one walked at faster cadences; all three did not appear to adjust to the beat of the music. After training, participants increased their walking distance, 90.8 ± 46.5 m; t(1, 13) = -7.3; p ≤ .005, velocity, 0.36 ± 0.15 m/s; t(1, 40) = -15.4; p < .001, and maximum cadence, 20.6 ± 9.1 steps/min; t(1, 40) = -14.6; p < .001; changes exceeded minimal clinically important differences. Twelve of 14 expressed enjoyment. Walk with rhythmic auditory stimulation training is a promising activity for older adults, which may translate to an individual's ability to adapt walking speeds to various community demands.

Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults.

BACKGROUND: The use of miniaturized magneto-inertial measurement units (MIMUs) allows for an objective evaluation of gait and a quantitative assessment of clinical outcomes. Spatial and temporal parameters are generally recognized as key metrics for characterizing gait. Although several methods for their estimate have been proposed, a thorough error analysis across different pathologies, multiple clinical centers and on large sample size is still missing. The aim of this study was to apply a previously presented method for the estimate of spatio-temporal parameters, named Trusted Events and Acceleration Direct and Reverse Integration along the direction of Progression (TEADRIP), on a large cohort (236 patients) including Parkinson, mildly cognitively impaired and healthy older adults collected in four clinical centers. Data were collected during straight-line gait, at normal and fast walking speed, by attaching two MIMUs just above the ankles. The parameters stride, step, stance and swing durations, as well as stride length and gait velocity, were estimated for each gait cycle. The TEADRIP performance was validated against data from an instrumented mat. RESULTS: Limits of agreements computed between the TEADRIP estimates and the reference values from the instrumented mat were - 27 to 27 ms for Stride Time, - 68 to 44 ms for Stance Time, - 31 to 31 ms for Step Time and - 67 to 52 mm for Stride Length. For each clinical center, the mean absolute errors averaged across subjects for the estimation of temporal parameters ranged between 1 and 4%, being on average less than 3% (< 30 ms). Stride length mean absolute errors were on average 2% (≈ 25 mm). Error comparisons across centers did not show any significant difference. Significant error differences were found exclusively for stride and step durations between healthy elderly and Parkinsonian subjects, and for the stride length between walking speeds. CONCLUSIONS: The TEADRIP method was effectively validated on a large number of healthy and pathological subjects recorded in four different clinical centers. Results showed that the spatio-temporal parameters estimation errors were consistent with those previously found on smaller population samples in a single center. The combination of robustness and range of applicability suggests the use of the TEADRIP as a suitable MIMU-based method for gait spatio-temporal parameter estimate in the routine clinical use. The present paper was awarded the "SIAMOC Best Methodological Paper 2017".