Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial

Ginis, Pieter; Nieuwboer, Alice; Dorfman, Moran; Ferrari, Alberto; Gazit, Eran; Canning, Colleen G.; Rocchi, Laura; Chiari, Lorenzo; Hausdorff, Jeffrey M.; Mirelman, Anat

doi:10.1016/j.parkreldis.2015.11.004

Cited by 183 publications

(309 citation statements)

References 42 publications

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“…Previous work has shown that performing a cognitive-motor dual-task resulted in a greater deterioration of gait speed and parameters (including stride to stride variability) in patients with HD compared to healthy controls [13]. In our cohort, the decline in gait speed with dual-task performance was comparable to individuals with PD [23].…”

Section: Discussionsupporting

confidence: 48%

Motor-cognitive dual-task deficits in individuals with early-mid stage Huntington disease

et al. 2016

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Section: Discussionsupporting

confidence: 48%

Motor-cognitive dual-task deficits in individuals with early-mid stage Huntington disease

et al. 2016

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“…Sample sizes ranged from 20 to 40. Dropouts were reported in 5 studies with similar rates in WS and control group [14,27,29,31,32] . One unsupervised study reported 1 dropout specifically relating to handling problems with the WS system [27] .…”

Section: Study Characteristicsmentioning

confidence: 73%

“…RCTs were performed in patients with PD ( n = 2) [27,28] , stroke ( n = 1) [29] , PD/stroke ( n = 1) [30] , peripheral neuropathy, either relating to diabetes ( n = 1) [31] or chemotherapy ( n = 1) [32] , and healthy ( n = 1) [33] , or frail older adults with confirmed fall risk ( n = 1) [14] . The average age of the samples ranged from 52.1 to 84.9 years.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…Types and Placements of WS Six studies used IMUs (incorporating accelerometers, gyroscopes, and magnetometers) [14,27,28,[31][32][33] , of which 3 studies used 5 IMUs (1 at the lower back, 1 at each shank, 1 at each thigh) [14,31,32] , 1 study used 2 IMUs (1 on each shoe) [27] , and 2 studies used 1 IMU at the lower back [28,33] . One study used wearable plantar pressure sensors [29] and another one combined wearable plantar pressure sensors and IMUs [30] ( Table 2 ).…”

Section: Ws Training Paradigms Usedmentioning

confidence: 99%

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Effects of Wearable Sensor-Based Balance and Gait Training on Balance, Gait, and Functional Performance in Healthy and Patient Populations: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

et al. 2017

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n = 1, type 3: n = 3) or combined different types of training paradigms within their intervention (type 1 and 2: n = 2; all types: n = 2). The meta-analyses revealed significant overall effects of WS training on static steady-state balance outcomes including mediolateral (eyes open: Hedges' g = 0.82, CI: 0.43-1.21; eyes closed: g = 0.57, CI: 0.14-0.99) and anterior-posterior sway (eyes open: g = 0.55, CI: 0.01-1.10; eyes closed: g = 0.44, CI: 0.02-0.86). No effects on habitual gait speed were found in the meta-analysis ( g = -0.19, CI: -0.68 to 0.29). Two RCTs reported significant improvements for selected gait variables including single support time, and fast gait speed. One study identified effects on proactive balance (Alternate Step Test), but no effects were found for the Timed Up and Go test and the Berg Balance Scale. Two studies reported positive results on feasibility and usability. Only one study was performed in an unsupervised setting. Conclusion: This review provides evidence for a positive effect of WS training on static steady-state balance in studies with usual care controls and studies with conventional balance training controls. Specific gait parameters and proactive balance measures may also be improved by WS training, yet limited evidence is available. Heterogeneous training paradigms, small sample sizes, and short intervention durations limit the validity of our findings. Larger studies are required for estimating the true potential of WS technology. © 2017 S. Karger AG, Basel KeywordsInertial measurement unit · Force sensor · Postural balance · Gait · Biofeedback · Exergame · Systematic review Abstract Background: Wearable sensors (WS) can accurately measure body motion and provide interactive feedback for supporting motor learning. Objective: This review aims to summarize current evidence for the effectiveness of WS training for improving balance, gait and functional performance. Methods: A systematic literature search was performed in PubMed, Cochrane, Web of Science, and CINAHL. Randomized controlled trials (RCTs) using a WS exercise program were included. Study quality was examined by the PEDro scale. Metaanalyses were conducted to estimate the effects of WS balance training on the most frequently reported outcome parameters. Results: Eight RCTs were included (Parkinson n = 2, stroke n = 1, Parkinson/stroke n = 1, peripheral neuropathy n = 2, frail older adults n = 1, healthy older adults n = 1). The sample size ranged from n = 20 to 40. Three types of training paradigms were used: (1) static steady-state balance training, (2) dynamic steady-state balance training, which includes gait training, and (3) proactive balance training. RCTs either used one type of training paradigm (type 2:

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“…In recent years, new technology-based methods for the assessment of PD have been proposed and developed [4][5][6][7][8][9]. Some employ wearable sensors, such as accelerometers, gyroscopes, magnometers, barometers, light sensors, and global positioning systems [10].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Amount of Daily Movement Measured by a Triaxial Accelerometer and Motor Symptoms in Patients with Parkinson’s Disease

Terashi

Mitoma

Yoneyama³

et al. 2017

Applied Sciences

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Abstract:The aim of this study was to analyze the association between the amount of daily movement measured with a triaxial accelerometer (MIMAMORI-Gait) and motor symptoms in patients with Parkinson's disease (PD). The subjects were 50 consecutive patients with untreated PD free of dementia. The amount of overall movement over 24 h was measured with the portable MIMAMORI-Gait device and its association with the modified Hoehn and Yahr stage and UPDRS part II and III scores was analyzed. In patients with PD, the amount of overall movement measured with MIMAMORI-Gait was significantly associated with the UPDRS part II score (β = −0.506, p < 0.001) and part III score (β = −0.347, p = 0.010), but not with the modified Hoehn and Yahr stage. The amount of overall movement measured with MIMAMORI-Gait can potentially be used for evaluation of motor symptoms and ADL in PD patients.

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Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial

Cited by 183 publications

References 42 publications

Motor-cognitive dual-task deficits in individuals with early-mid stage Huntington disease

Motor-cognitive dual-task deficits in individuals with early-mid stage Huntington disease

Effects of Wearable Sensor-Based Balance and Gait Training on Balance, Gait, and Functional Performance in Healthy and Patient Populations: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Relationship between Amount of Daily Movement Measured by a Triaxial Accelerometer and Motor Symptoms in Patients with Parkinson’s Disease

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