Literature DB >> 26433913

Validity and reliability of an IMU-based method to detect APAs prior to gait initiation.

Martina Mancini1, Lorenzo Chiari2, Lars Holmstrom3, Arash Salarian4, Fay B Horak5.   

Abstract

Anticipatory postural adjustments (APAs) prior to gait initiation have been largely studied in traditional, laboratory settings using force plates under the feet to characterize the displacement of the center of pressure. However clinical trials and clinical practice would benefit from a portable, inexpensive method for characterizing APAs. Therefore, the main objectives of this study were (1) to develop a novel, automatic IMU-based method to detect and characterize APAs during gait initiation and (2) to measure its test-retest reliability. Experiment I was carried out in the laboratory to determine the validity of the IMU-based method in 10 subjects with PD (OFF medication) and 12 control subjects. Experiment II was carried out in the clinic, to determine test-retest reliability of the IMU-based method in a different set of 17 early-to-moderate, treated subjects with PD (tested ON medication) and 17 age-matched control subjects. Results showed that gait initiation characteristics (both APAs and 1st step) detected with our novel method were significantly correlated to the characteristics calculated with a force plate and motion analysis system. The size of APAs measured with either inertial sensors or force plate was significantly smaller in subjects with PD than in control subjects (p<0.05). Test-retest reliability for the gait initiation characteristics measured with inertial sensors was moderate-to-excellent (0.56<ICC<0.82) for both groups. Our findings support the feasibility of automatically characterizing postural preparation and gait initiation with body-worn inertial sensors that would be practical for unsupervised clinical and home settings.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Force plates; Gait initiation; Inertial sensors; Parkinson's disease

Mesh:

Year:  2015        PMID: 26433913      PMCID: PMC4758510          DOI: 10.1016/j.gaitpost.2015.08.015

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  28 in total

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4.  The initiation of normal walking.

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5.  Spatiotemporal variability during gait initiation in Parkinson's disease.

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Journal:  Gait Posture       Date:  2012-04-27       Impact factor: 2.840

6.  Detection of anticipatory postural adjustments prior to gait initiation using inertial wearable sensors.

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Authors:  M Mancini; C Zampieri; P Carlson-Kuhta; L Chiari; F B Horak
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Review 10.  Objective biomarkers of balance and gait for Parkinson's disease using body-worn sensors.

Authors:  Fay B Horak; Martina Mancini
Journal:  Mov Disord       Date:  2013-09-15       Impact factor: 10.338

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  26 in total

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4.  Influence of vision on gait initiation and first step kinematics in young and older adults.

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5.  Validity and repeatability of inertial measurement units for measuring gait parameters.

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Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

6.  Gait and Quiet-Stance Performance Among Adolescents After Concussion-Symptom Resolution.

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Review 7.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

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Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

8.  Objective characterization of daily living transitions in patients with Parkinson's disease using a single body-fixed sensor.

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9.  What happens before the first step? A New Approach to Quantifying Gait Initiation Using a Wearable Sensor.

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10.  The feasibility and validity of a wearable sensor system to assess the stability of high-functioning lower-limb prosthesis users.

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