Intended Gait Speed Prediction via Swing Limb Kinematics Applicable for Patients with Slow Gait

Title
Intended Gait Speed Prediction via Swing Limb Kinematics Applicable for Patients with Slow Gait
Authors
이종민김재욱김예광김승종
Keywords
Intended Gait Speed; Prediction Model; Interanl Measurement Unit Sensor; Robot-assisted Gait Training
Issue Date
2020-09
Publisher
Electronics letters
Citation
VOL 56, NO 18-914
Abstract
Accurate prediction of intended gait speed is crucial for facilitating volitional muscle activity during robot-assisted gait training. Considering that most patients find it difficult to perform gait at relatively high speeds, it is also imperative that the prediction model performs well at slow gait speed. Furthermore, ample time for signal processing should be given prior to robot assistance such that the patient is not subjected to unwanted resistance or lag. Here, the authors propose to predict the intended speed of the contralateral limb via kinematics of the current swing limb. Three lower-limb positions were evaluated using an inertial measurement unit sensor during treadmill gait sessions. The results suggest that the authors’ model performs well even during slow gait speeds ( ≤ 2 km/h) with R2 values as high as 0.86.
URI
http://pubs.kist.re.kr/handle/201004/72048
ISSN
0013-5194
Appears in Collections:
KIST Publication > Article
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