Literature DB >> 24656713

Postural strategies assessed with inertial sensors in healthy and parkinsonian subjects.

Chiara Baston1, Martina Mancini2, Bernadette Schoneburg2, Fay Horak2, Laura Rocchi3.   

Abstract

UNLABELLED: The present study introduces a novel instrumented method to characterize postural movement strategies to maintain balance during stance (ankle and hip strategy), by means of inertial sensors, positioned on the legs and on the trunk. We evaluated postural strategies in subjects with 2 types of Parkinsonism: idiopathic Parkinson's disease (PD) and Progressive Supranuclear Palsy (PSP), and in age-matched control subjects standing under perturbed conditions implemented by the Sensory Organization Test (SOT). Coordination between the upper and lower segments of the body during postural sway was measured using a covariance index over time, by a sliding-window algorithm. Afterwards, a postural strategy index was computed. We also measured the amount of postural sway, as adjunctive information to characterize balance, by the root mean square of the horizontal trunk acceleration signal (RMS).
RESULTS: showed that control subjects were able to change their postural strategy, whilst PSP and PD subjects persisted in use of an ankle strategy in all conditions. PD subjects had RMS values similar to control subjects even without changing postural strategy appropriately, whereas PSP subjects showed much larger RMS values than controls, resulting in several falls during the most challenging SOT conditions (5 and 6). Results are in accordance with the corresponding clinical literature describing postural behavior in the same kind of subjects. The proposed strategy index, based on the use of inertial sensors on the upper and lower body segments, is a promising and unobtrusive tool to characterize postural strategies performed to attain balance.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Covariance analysis; Dynamic posture; Parkinson's disease; Progressive Supranuclear Palsy; Sensory Organization Test

Mesh:

Year:  2014        PMID: 24656713      PMCID: PMC4383136          DOI: 10.1016/j.gaitpost.2014.02.012

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


  27 in total

1.  Effectiveness of different visual biofeedback signals for human balance improvement.

Authors:  Zuzana Halická; Jana Lobotková; Kristína Bučková; František Hlavačka
Journal:  Gait Posture       Date:  2013-08-18       Impact factor: 2.840

2.  Postural imbalance and falls in PSP correlate with functional pathology of the thalamus.

Authors:  A Zwergal; C la Fougère; S Lorenzl; A Rominger; G Xiong; L Deutschenbaur; J Linn; S Krafczyk; M Dieterich; T Brandt; M Strupp; P Bartenstein; K Jahn
Journal:  Neurology       Date:  2011-05-25       Impact factor: 9.910

3.  Postural strategies associated with somatosensory and vestibular loss.

Authors:  F B Horak; L M Nashner; H C Diener
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

4.  A comparison of accelerometry and center of pressure measures during computerized dynamic posturography: a measure of balance.

Authors:  S L Whitney; J L Roche; G F Marchetti; C-C Lin; D P Steed; G R Furman; M C Musolino; M S Redfern
Journal:  Gait Posture       Date:  2011-02-17       Impact factor: 2.840

5.  Computerized posturography analysis of progressive supranuclear palsy: a case-control comparison with Parkinson's disease and healthy controls.

Authors:  W Ondo; D Warrior; A Overby; J Calmes; N Hendersen; S Olson; J Jankovic
Journal:  Arch Neurol       Date:  2000-10

6.  Postural inflexibility in parkinsonian subjects.

Authors:  F B Horak; J G Nutt; L M Nashner
Journal:  J Neurol Sci       Date:  1992-08       Impact factor: 3.181

7.  Effects of dopamine on postural control in parkinsonian subjects: scaling, set, and tone.

Authors:  F B Horak; J Frank; J Nutt
Journal:  J Neurophysiol       Date:  1996-06       Impact factor: 2.714

8.  An accelerometry-based study of lower and upper limb tremor in Parkinson's disease.

Authors:  Blake K Scanlon; Bonnie E Levin; Daniel A Nation; Heather L Katzen; Alexandra Guevara-Salcedo; Carlos Singer; Spiridon Papapetropoulos
Journal:  J Clin Neurosci       Date:  2013-04-29       Impact factor: 1.961

9.  The use of inertial sensors system for human motion analysis.

Authors:  Antonio I Cuesta-Vargas; Alejandro Galán-Mercant; Jonathan M Williams
Journal:  Phys Ther Rev       Date:  2010-12

10.  Comparison of gait in progressive supranuclear palsy, Parkinson's disease and healthy older adults.

Authors:  Thorlene Egerton; David R Williams; Robert Iansek
Journal:  BMC Neurol       Date:  2012-10-02       Impact factor: 2.474

View more
  13 in total

1.  Time-dependent changes in postural control in early Parkinson's disease: what are we missing?

Authors:  Silvia Del Din; Alan Godfrey; Shirley Coleman; Brook Galna; Sue Lord; Lynn Rochester
Journal:  Med Biol Eng Comput       Date:  2015-06-07       Impact factor: 2.602

2.  Postural sway, falls, and self-reported neuropathy in aging female cancer survivors.

Authors:  Peter C Fino; Fay B Horak; Mahmoud El-Gohary; Carolyn Guidarelli; Mary E Medysky; Sarah J Nagle; Kerri M Winters-Stone
Journal:  Gait Posture       Date:  2019-01-17       Impact factor: 2.840

3.  Laboratory based assessment of gait and balance impairment in patients with progressive supranuclear palsy.

Authors:  Farwa Ali; Stacy R Loushin; Hugo Botha; Keith A Josephs; Jennifer L Whitwell; Kenton Kaufman
Journal:  J Neurol Sci       Date:  2021-08-25       Impact factor: 4.553

4.  Effects of Levodopa on Postural Strategies in Parkinson's disease.

Authors:  Chiara Baston; Martina Mancini; Laura Rocchi; Fay Horak
Journal:  Gait Posture       Date:  2016-02-22       Impact factor: 2.840

5.  Concurrent Validity of Postural Sway Measures in Older Adults with Cognitive Impairment.

Authors:  Ellen L McGough; Lin-Ya Hsu; Hilaire Thompson; Linda Teri
Journal:  Phys Occup Ther Geriatr       Date:  2019-01-14

6.  Models of Postural Control: Shared Variance in Joint and COM Motions.

Authors:  Melissa C Kilby; Peter C M Molenaar; Karl M Newell
Journal:  PLoS One       Date:  2015-05-14       Impact factor: 3.240

Review 7.  Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: a systematic review.

Authors:  Ryan P Hubble; Geraldine A Naughton; Peter A Silburn; Michael H Cole
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

8.  Relationship between joint motion and acceleration during single-leg standing in healthy male adults.

Authors:  Yota Abe; Masaaki Sakamoto; Rie Nakazawa; Kenji Shirakura
Journal:  J Phys Ther Sci       Date:  2015-04-30

9.  Sensor-based gait analysis in atypical parkinsonian disorders.

Authors:  Cecilia Raccagni; Heiko Gaßner; Sabine Eschlboeck; Sylvia Boesch; Florian Krismer; Klaus Seppi; Werner Poewe; Bjoern M Eskofier; Juergen Winkler; Gregor Wenning; Jochen Klucken
Journal:  Brain Behav       Date:  2018-05-07       Impact factor: 2.708

Review 10.  Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.

Authors:  Alessandro Zampogna; Ilaria Mileti; Eduardo Palermo; Claudia Celletti; Marco Paoloni; Alessandro Manoni; Ivan Mazzetta; Gloria Dalla Costa; Carlos Pérez-López; Filippo Camerota; Letizia Leocani; Joan Cabestany; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-06-07       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.