Literature DB >> 34734130

Objectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis.

Callum Betteridge1,2,3,4, Ralph J Mobbs1,2,3,4, R Dineth Fonseka1,2,3,4, Pragadesh Natarajan1,2,3,4, Daniel Ho1,2,3,4, Wen Jie Choy1,2,3,4, Luke W Sy2,3,4,5, Nina Pell2,3,4.   

Abstract

BACKGROUND: 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.
METHODS: We conduct a cross-sectional observational study examining the walking patterns of 25 LSS patients and 33 healthy controls. To construct a preliminary disease-specific gait profile for LSS, the gait patterns of the 25 LSS patients and 25 healthy controls with similar ages were compared. To assess the accuracy of the MMC/IMUPY system in measuring the gait features of patients with LSS, its results were compared with videography for the 21 LSS and 33 healthy controls whose walking bouts exceeded 30 m.
RESULTS: Patients suffering from LSS walked significantly slower, with shorter, less frequent steps and higher asymmetry compared to healthy controls. The MMC/IMUPY system had >90% agreement with videography for all spatiotemporal gait metrics that both methods could measure.
CONCLUSIONS: The MMC/IMUPY system is a simple and feasible system for the construction of a preliminary disease-specific gait profile for LSS. Before clinical application in everyday living conditions is possible, further studies involving the construction of a more detailed disease-specific gait profile for LSS by disease severity, and the validation of the MMC/IMUPY system in the home environment, are required. 2021 Journal of Spine Surgery. All rights reserved.

Entities:  

Keywords:  Lumbar spinal stenosis (LSS); accelerometry; gait; wearable

Year:  2021        PMID: 34734130      PMCID: PMC8511559          DOI: 10.21037/jss-21-16

Source DB:  PubMed          Journal:  J Spine Surg        ISSN: 2414-4630


  58 in total

1.  Novel wearable technology for assessing spontaneous daily physical activity and risk of falling in older adults with diabetes.

Authors:  Bijan Najafi; David G Armstrong; Jane Mohler
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

2.  Gait variability measurements in lumbar spinal stenosis patients: part A. Comparison with healthy subjects.

Authors:  N C Papadakis; D G Christakis; G N Tzagarakis; G I Chlouverakis; N A Kampanis; K N Stergiopoulos; P G Katonis
Journal:  Physiol Meas       Date:  2009-10-01       Impact factor: 2.833

3.  Assessment and Post-Intervention Recovery After Surgery for Lumbar Disk Herniation Based on Objective Gait Metrics from Wearable Devices Using the Gait Posture Index.

Authors:  Finn Ghent; Ralph J Mobbs; Redmond R Mobbs; Luke Sy; Callum Betteridge; Wen Jie Choy
Journal:  World Neurosurg       Date:  2020-06-22       Impact factor: 2.104

Review 4.  Bland-Altman analysis: A paradigm to understand correlation and agreement.

Authors:  Nurettin Özgür Doğan
Journal:  Turk J Emerg Med       Date:  2018-09-17

Review 5.  Assessing Gait in Parkinson's Disease Using Wearable Motion Sensors: A Systematic Review.

Authors:  Lorenzo Brognara; Pierpaolo Palumbo; Bernd Grimm; Luca Palmerini
Journal:  Diseases       Date:  2019-02-05

6.  ISway: a sensitive, valid and reliable measure of postural control.

Authors:  Martina Mancini; Arash Salarian; Patricia Carlson-Kuhta; Cris Zampieri; Laurie King; Lorenzo Chiari; Fay B Horak
Journal:  J Neuroeng Rehabil       Date:  2012-08-22       Impact factor: 4.262

7.  Hand Dexterity Impairment in Patients with Cervical Myelopathy: A New Quantitative Assessment Using a Natural Prehension Movement.

Authors:  Masao Omori; Satoshi Shibuya; Tsuyoshi Nakajima; Takashi Endoh; Shinya Suzuki; Shun Irie; Ryohei Ariyasu; Satoshi Unenaka; Hideto Sano; Kazutaka Igarashi; Shoichi Ichimura; Yukari Ohki
Journal:  Behav Neurol       Date:  2018-07-04       Impact factor: 3.342

8.  Gait pattern analysis and clinical subgroup identification: a retrospective observational study.

Authors:  Sunghyon Kyeong; Seung Min Kim; Suk Jung; Dae Hyun Kim
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

View more
  3 in total

1.  Wearable sensor technology in spine care.

Authors:  Ralph J Mobbs; R Dineth Fonseka; Pragadesh Natarajan
Journal:  J Spine Surg       Date:  2022-03

2.  An engineer's perspective on the mechanisms and applications of wearable inertial sensors.

Authors:  Luke Wicent Sy
Journal:  J Spine Surg       Date:  2022-03

3.  Proposed objective scoring algorithm for clinical evaluation of walking asymmetry in lumbar disc herniation, based on relevant gait metrics from wearable devices: The Gait Symmetry Index (GSiTM) - Observational study.

Authors:  Pragadesh Natarajan; R Dineth Fonseka; Luke Sy; Ralph Jasper Mobbs; Monish Maharaj
Journal:  Brain Spine       Date:  2022-05-07
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.