Slacklining:A narrative review on the origins,neuromechanical models and therapeutic use

作     者：Charles Philip Gabel Bernard Guy Hamid Reza Mokhtarinia Markus Melloh 

作者机构：Research SectionAccess PhysiotherapyCoolum Beach 4573Australia Ecole des Mines de Saint-EtienneSaint Etienne 4200LoireFrance Department of Ergonomics and PhysiotherapyUniversity of Social Welfare and Rehabilitation SciencesTehran 12345Iran School of Health ProfessionsInstitute of Health SciencesZurich University of Applied SciencesWinterthur 8410Switzerland School of MedicineThe University of Western AustraliaPerth WA 6009Australia 

出 版 物：《World Journal of Orthopedics》 (世界骨科杂志（英文版）)

年 卷 期：2021年第12卷第6期

页      面：360-375页

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1002[医学-临床医学] 08[工学] 100204[医学-神经病学] 0836[工学-生物工程] 10[医学] 

主　　题：Slacklining Neuromechanics Human movement Model Balance Rehabilitation 

摘      要：Slacklining,the neuromechanical action of balance retention on a tightened band,is achieved through self-learned strategies combining dynamic stability with optimal energy *** slacklining literature is recent and limited,including for neuromechanical control strategy *** paper explores slacklining’s definitions and origins to provide background that facilitates understanding its evolution and progressive incorporation into both prehabilitation and *** explanatory slacklining models are considered,their application to balance and stability,and knowledge-gaps *** slacklining models predominantly derive from human quiet-standing and frontal plane movement on stable *** provide a multi-tiered context of the unique and complex neuro-motoric requirements for slacklining’s multiple applications,but are not sufficiently *** consequently leaves an incomplete understanding of how slacklining is achieved,in relation to multi-directional instability and complex multi-dimensional human movement and *** paper highlights the knowledge-gaps and sets a foundation for the required explanatory control mechanisms that evolve and expand a more detailed model of multi-dimensional slacklining and human functional *** a model facilitates a more complete understanding of existing performance and rehabilitation applications that opens the potential for future applications into broader areas of movement in diverse fields including prostheses,automation and machine-learning related to movement phenotypes.