Sensors, Vol. 21, Pages 3444: Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases
Sensors, Vol. 21, Pages 3444: Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases
Sensors doi: 10.3390/s21103444
Authors:
Thomas Bowman
Elisa Gervasoni
Chiara Arienti
Stefano Giuseppe Lazzerini
Stefano Negrini
Simona Crea
Davide Cattaneo
Maria Chiara Carrozza
Wearable devices are used in rehabilitation to provide biofeedback about biomechanical or physiological body parameters to improve outcomes in people with neurological diseases. This is a promising approach that influences motor learning and patients’ engagement. Nevertheless, it is not yet clear what the most commonly used sensor configurations are, and it is also not clear which biofeedback components are used for which pathology. To explore these aspects and estimate the effectiveness of wearable device biofeedback rehabilitation on balance and gait, we conducted a systematic review by electronic search on MEDLINE, PubMed, Web of Science, PEDro, and the Cochrane CENTRAL from inception to January 2020. Nineteen randomized controlled trials were included (Parkinson’s n = 6; stroke n = 13; mild cognitive impairment n = 1). Wearable devices mostly provided real-time biofeedback during exercise, using biomechanical sensors and a positive reinforcement feedback strategy through auditory or visual modes. Some notable points that could be improved were id...
Source: Sensors - Category: Biotechnology Authors: Thomas Bowman Elisa Gervasoni Chiara Arienti Stefano Giuseppe Lazzerini Stefano Negrini Simona Crea Davide Cattaneo Maria Chiara Carrozza Tags: Systematic Review Source Type: research
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