Open AccessObjectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis
Author(s) -
Callum Betteridge,
Ralph J. Mobbs,
R. Dineth Fonseka,
Pragadesh Natarajan,
Daniel Ho,
Wen Jie Choy,
Luke Sy,
Nina Pell
Publication year - 2021
Publication title -
journal of spine surgery
Language(s) - English
Resource type - Journals
eISSN - 2414-469X
pISSN - 2414-4630
DOI - 10.21037/jss-21-16
Subject(s) - lumbar spinal stenosis , gait , videography , physical medicine and rehabilitation , gait analysis , wearable computer , accelerometer , medicine , gait disturbance , lumbar , physical therapy , computer science , surgery , advertising , business , embedded system , operating system
Wearable accelerometer-containing devices have become a mainstay in clinical studies which attempt to classify the gait patterns in various diseases. A gait profile for lumbar spinal stenosis (LSS) has not been developed, and no study has validated a simple wearable system for the clinical assessment of gait in lumbar stenosis. This study identifies the changes to gait patterns that occur in LSS to create a preliminary disease-specific gait profile. In addition, this study compares a chest-based wearable sensor, the MetaMotionC © device and inertial measurement unit python script (MMC/IMUPY) system, against a reference-standard, videography, to preliminarily assess its accuracy in measuring the gait features of patients with LSS.