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.

作者: Stefano Negrini , Maria Chiara Carrozza , Davide Cattaneo , Elisa Gervasoni , Simona Crea

DOI: 10.3390/S21103444

关键词:

摘要: Wearable devices are used in rehabilitation to provide biofeedback about biomechanical or physiological body parameters improve outcomes people with neurological diseases. This is a promising approach that influences motor learning and patients' engagement. Nevertheless, it not yet clear what the most commonly sensor configurations are, also which components for pathology. To explore these aspects estimate effectiveness of wearable device on balance gait, we conducted systematic review by electronic search MEDLINE, PubMed, Web Science, PEDro, Cochrane CENTRAL from inception January 2020. Nineteen randomized controlled trials were included (Parkinson's n = 6; stroke 13; mild cognitive impairment 1). mostly provided real-time during exercise, using sensors positive reinforcement feedback strategy through auditory visual modes. Some notable points could be improved identified studies; helpful providing practical design rules maximize prospective rehabilitation. Due current quality literature, was possible achieve firm conclusions However, seems effects dynamic gait PwND, but higher-quality RCTs larger sample sizes needed stronger conclusions.

参考文章(61)
Lewis Sudarsky, Gait disorders: prevalence, morbidity, and etiology. Advances in Neurology. ,vol. 87, pp. 111- 117 ,(2001)
Sang-Hyun Cho, Hwa-Kyung Shin, Yong-Hyun Kwon, Mi Young Lee, Young-Hee Lee, Chu-Hee Lee, Dong Suk Yang, Sung-Ho Jang, Cortical activation changes induced by visual biofeedback tracking training in chronic stroke patients. NeuroRehabilitation. ,vol. 22, pp. 77- 84 ,(2007) , 10.3233/NRE-2007-22201
Ann B. Trotter, Douglas A. Inman, The use of positive reinforcement in physical therapy. Physical Therapy. ,vol. 48, pp. 347- 352 ,(1968) , 10.1093/PTJ/48.4.347
He Huang, Steven L Wolf, Jiping He, Recent developments in biofeedback for neuromotor rehabilitation. Journal of Neuroengineering and Rehabilitation. ,vol. 3, pp. 11- 11 ,(2006) , 10.1186/1743-0003-3-11
Young-Shin Lee, Sea-Hyun Bae, Sung-Hee Lee, Kyung-Yoon Kim, Neurofeedback Training Improves the Dual-Task Performance Ability in Stroke Patients Tohoku Journal of Experimental Medicine. ,vol. 236, pp. 81- 88 ,(2015) , 10.1620/TJEM.236.81
D. Cattaneo, I. Carpinella, I. Aprile, L. Prosperini, A. Montesano, J. Jonsdottir, Comparison of upright balance in stroke, Parkinson and multiple sclerosis Acta Neurologica Scandinavica. ,vol. 133, pp. 346- 354 ,(2016) , 10.1111/ANE.12466
Hilary Gunn, Sophie Markevics, Bernhard Haas, Jonathan Marsden, Jennifer Freeman, Systematic review: The effectiveness of interventions to reduce falls and improve balance in adults with multiple sclerosis Archives of Physical Medicine and Rehabilitation. ,vol. 96, pp. 1898- 1912 ,(2015) , 10.1016/J.APMR.2015.05.018
Hyejin Lee, Yuna Lee, Hyunsoo Choi, Sung-Bom Pyun, Community Integration and Quality of Life in Aphasia after Stroke Yonsei Medical Journal. ,vol. 56, pp. 1694- 1702 ,(2015) , 10.3349/YMJ.2015.56.6.1694
Lisbeth Rosenbek Minet, Elizabeth Peterson, Lena von Koch, Charlotte Ytterberg, Occurrence and Predictors of Falls in People With Stroke Six-Year Prospective Study Stroke. ,vol. 46, pp. 2688- 2690 ,(2015) , 10.1161/STROKEAHA.115.010496
C.M. Cirstea, A. Ptito, M.F. Levin, Feedback and Cognition in Arm Motor Skill Reacquisition After Stroke Stroke. ,vol. 37, pp. 1237- 1242 ,(2006) , 10.1161/01.STR.0000217417.89347.63