Benefits of multi-session balance and gait training with multi-modal biofeedback in healthy older adults

Lim, Shannon B.; Horslen, Brian C.; Davis, Justin R.; Allum, J.H.J.; Carpenter, Mark G.

doi:10.1016/j.gaitpost.2016.03.017

Cited by 16 publications

(30 citation statements)

References 27 publications

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“…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%

“…The most frequent methodological limitations were a lack of blinding of subjects or study personnel, as well as unconcealed group allocation. One study did not report any inclusion/exclusion criteria and lacked in a between-group comparison statistics [33] .…”

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%

“…One study used wearable plantar pressure sensors [29] and another one combined wearable plantar pressure sensors and IMUs [30] ( Table 2 ). IMUs were used for measuring kinematic data of body segments in order to provide feedback about center of mass [14,28,[31][32][33] or lower extremity movement [14,27,[30][31][32] . Wearable plantar pressure sensors were used to cue weight symmetry distribution between feet while standing (i.e., % body weight loading on the paretic leg) or weight variation during stance phase while walking (i.e., single support time asymmetry ratio) [29,30] .…”

Section: Ws Training Paradigms Usedmentioning

confidence: 99%

“…Training frequency ranged from 2 to 5 times per week. In 5 studies, the controls received the same training as the intervention group, however without WS feedback [27][28][29][30]33] . In 3 studies, the controls received routine care only [14,31,32] .…”

Section: Types and Modalities Of Exercise Interventionsmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Ws Training Paradigms Usedmentioning

confidence: 99%

Section: Ws Training Paradigms Usedmentioning

confidence: 99%

Section: Types and Modalities Of Exercise Interventionsmentioning

confidence: 99%

See 3 more Smart Citations

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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Measurement of Gait and Postural Control in Aging

Rigby

Ray

2018

Handbooks in Health, Work, and Disability

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Multisensory Exercise Improves Balance in People with Balance Disorders: A Systematic Review

Zhang

Liú

et al. 2021

CURR MED SCI

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Objective To examine the effect of multisensory exercise on balance disorders. Methods PubMed, Scopus and Web of Science were searched to identify eligible studies published before January 1, 2020. Eligible studies included randomized control trials (RCTs), non-randomized studies, case-control studies, and cohort studies. The methodological quality of the included studies was evaluated using JBI Critical Appraisal Checklists for RCTs and for Quasi-Experimental Studies by two researchers independently. A narrative synthesis of intervention characteristics and health-related outcomes was performed. Results A total of 11 non-randomized studies and 9 RCTs were eligible, including 667 participants. The results supported our assumption that multisensory exercise improved balance in people with balance disorders. All of the 20 studies were believed to be of high or moderate quality. Conclusion Our study confirmed that multisensory exercise was effective in improving balance in people with balance disorders. Multisensory exercises could lower the risk of fall and enhance confidence level to improve the quality of life. Further research is needed to investigate the optimal strategy of multisensory exercises and explore the underlying neural and molecular mechanisms of balance improvement brought by multisensory exercises.

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Benefits of multi-session balance and gait training with multi-modal biofeedback in healthy older adults

Cited by 16 publications

References 27 publications

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

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

Measurement of Gait and Postural Control in Aging

Multisensory Exercise Improves Balance in People with Balance Disorders: A Systematic Review

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