Provoking Artificial Slips and Trips towards Perturbation-Based Balance Training: A Narrative Review
Year: 2022
Type: review
Abstract: Humans' balance recovery responses to gait perturbations are negatively impacted with ageing. Slip and trip events, the main causes preceding falls during walking, are likely to produce severe injuries in older adults. While traditional exercise-based interventions produce inconsistent results in reducing patients' fall rates, perturbation-based balance training (PBT) emerges as a promising task-specific solution towards fall prevention. PBT improves patients' reactive stability and fall-resisting skills through the delivery of unexpected balance perturbations. The adopted perturbation conditions play an important role towards PBT's effectiveness and the acquisition of meaningful sensor data for studying human biomechanical reactions to loss of balance (LOB) events. Hence, this narrative review aims to survey the different methods employed in the scientific literature to provoke artificial slips and trips in healthy adults during treadmill and overground walking. For each type of perturbation, a comprehensive analysis was conducted to identify trends regarding the most adopted perturbation methods, gait phase perturbed, gait speed, perturbed leg, and sensor systems used for data collection. The reliable application of artificial perturbations to mimic real-life LOB events may reduce the gap between laboratory and real-life falls and potentially lead to fall-rate reduction among the elderly community.
Source: Sensors
DOI: 10.3390/s22239254
Institutions: Labbels, University of Minho
Language: English
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,513
Awards: G2256961411, G3003563977, G340864225, G3838636553, G5224927334, G5248879777, G6126344035, G624960157, G6580627081, Unidade de Investigação em Microssistemas Eletromecânicos, Senior-oriented robotic devices and algorithms for personalized fall prediction and prevention, Unidade de Investigação em Microssistemas Eletromecânicos
OpenAlex ID: W4310154650
