Cheng-Hao Yu , Shiuan-Huei Lu , Yi-Fu Lu , Kuan-Wen Wu , Yi-Ling Lu , Jr-Yi Wang , Ting-Ming Wang , Tung-Wu Lu
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引用次数: 0
Abstract
Background
Measuring bilateral ground reaction forces (GRFs) and centre of pressure (COP) is essential in gait analysis, requiring subjects to step each foot sequentially onto a separate forceplate. However, this requirement often causes multiple trial attempts, especially in patients with neuromusculoskeletal disorders. Consciously targeting the forceplates could also alter walking mechanics, leading to unnatural gait patterns.
Research question
This study aimed to (1) develop a novel physics-informed residual recurrent neural network (PI-ResRNN) to predict bilateral GRF and COP during gait using data from a single forceplate and (2) evaluate its accuracy against ground truth obtained across subject groups of different ages and pathologies.
Methods
Forceplate data from 315 participants, namely healthy participants and patients with six types of neuromusculoskeletal disorders, was collected. Data from 6765 trials was used to train and validate the PI-ResRNN model to decompose GRF and COP for each foot during the double-contact phase of walking. Model-predicted COP and GRFs were evaluated against the ground truth using root-mean-square errors (RMSE) and relative RMSE (rRMSE), respectively.
Results
All predicted variables from the PI-ResRNN model demonstrated high consistency with the ground truth, with mean rRMSE values below 0.34 %, 0.38 %, and 0.56 % in the vertical, anteroposterior, and mediolateral GRFs, respectively, and mean RMSE values for COP below 3.0 mm. The model effectively identified statistical between-group differences compared with the ground truth.
Significance
The proposed model provides a practical and accurate approach for obtaining bilateral GRF and COP using a single forceplate, benefiting gait analysis in populations with mobility impairments.
期刊介绍:
Gait & Posture is a vehicle for the publication of up-to-date basic and clinical research on all aspects of locomotion and balance.
The topics covered include: Techniques for the measurement of gait and posture, and the standardization of results presentation; Studies of normal and pathological gait; Treatment of gait and postural abnormalities; Biomechanical and theoretical approaches to gait and posture; Mathematical models of joint and muscle mechanics; Neurological and musculoskeletal function in gait and posture; The evolution of upright posture and bipedal locomotion; Adaptations of carrying loads, walking on uneven surfaces, climbing stairs etc; spinal biomechanics only if they are directly related to gait and/or posture and are of general interest to our readers; The effect of aging and development on gait and posture; Psychological and cultural aspects of gait; Patient education.