Abstract

Forward continuation, balance, and sit-to-stand-and-walk (STSW) are three common movement strategies during sit-to-walk (STW) executions. Literature identifies these strategies through biomechanical parameters using gold standard laboratory equipment, which is expensive, bulky, and requires significant post-processing. STW strategy becomes apparent at gait-initiation (GI) and the hip/knee are primary contributors in STW, therefore, this study proposes to use the hip/knee joint angles at GI as an alternate method of strategy classification. To achieve this, K-means clustering was implemented using three clusters corresponding to the three STW strategies; and two feature sets corresponding to the hip/knee angles (derived from motion capture data); from an open access online database (age: 21–80 years; n = 10). The results identified forward continuation with the lowest hip/knee extension, followed by balance and then STSW, at GI. Using this classification, strategy biomechanics were investigated by deriving the established biomechanical quantities from literature. The biomechanical parameters that significantly varied between strategies (P < 0.05) were time, horizontal centre of mass (COM) momentum, braking impulse, centre of pressure (COP) range and velocities, COP–COM separation, hip/knee torque and movement fluency. This alternate method of strategy classification forms a generalized framework for describing STW executions and is consistent with literature, thus validating the joint angle classification method.

Details

Title
Sit-to-walk strategy classification in healthy adults using hip and knee joint angles at gait initiation
Author
Perera, Chamalka Kenneth 1 ; Gopalai, Alpha Agape 1 ; Gouwanda, Darwin 1 ; Ahmad, Siti Anom 2 ; Salim, Mazatulfazura Sf Binti 2 

 Monash University, School of Engineering, Subang Jaya, Malaysia (GRID:grid.440425.3) (ISNI:0000 0004 1798 0746) 
 Universiti Putra Malaysia, Malaysian Research Institute on Ageing, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X) 
Pages
16640
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2871984542
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.