Literature DB >> 28288334

Trunk biomechanics during hemiplegic gait after stroke: A systematic review.

Tamaya Van Criekinge1, Wim Saeys2, Ann Hallemans3, Silke Velghe4, Pieter-Jan Viskens4, Luc Vereeck5, Willem De Hertogh6, Steven Truijen7.   

Abstract

Stroke commonly results in trunk impairments that are associated with decreased trunk coordination and limited trunk muscle strength. These impairments often result in biomechanical changes during walking. Additionally, the so-called pelvic step might be influenced by these impairments. Therefore, the aim of this review was twofold. First, to gain more insight into trunk biomechanics during walking in stroke patients compared to healthy individuals. Second, to investigate the influence of walking speed on trunk biomechanics. The search strategy was performed by the PRISMA guidelines and registered in the PROSPERO database (no. CRD42016035797). Databases MEDLINE, Web of Science, Cochrane Library, ScienceDirect, and Rehabdata were systematically searched until December 2016. Sixteen of the 1099 studies met the eligibility criteria and were included in this review. Risk of bias was assessed by the Newcastle-Ottawa Scale. The majority of studies reported on trunk kinematics during walking, data on trunk kinetics and muscle activity is lacking. Following stroke, patients walk with increased mediolateral trunk sway and larger sagittal motion of the lower trunk. Although rotation of the upper trunk is increased, the trunk shows a more in-phase coordination. Acceleration of the trunk diminishes while instability and asymmetry increase as there are less movement towards the paretic side. However, it is of great importance to differentiate between compensatory trunk movements and intrinsic trunk control deficits. Specific exercise programs, assistive devices and orthoses might be of help in controlling these deficits. Importantly, studies suggested that more natural trunk movements were observed when walking speed was increased.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomechanics; Kinematics; Stroke; Trunk; Walking

Mesh:

Year:  2017        PMID: 28288334     DOI: 10.1016/j.gaitpost.2017.03.004

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


  21 in total

1.  Crossed activation of thoracic trunk motoneurons by medullary reticulospinal neurons.

Authors:  Brandon K LaPallo; Andrea Giorgi; Marie-Claude Perreault
Journal:  J Neurophysiol       Date:  2019-10-30       Impact factor: 2.714

2.  Wearable airbag technology and machine learned models to mitigate falls after stroke.

Authors:  Olivia K Botonis; Yaar Harari; Kyle R Embry; Chaithanya K Mummidisetty; David Riopelle; Matt Giffhorn; Mark V Albert; Vallery Heike; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2022-06-17       Impact factor: 5.208

3.  Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.

Authors:  Jennapher Lingo VanGilder; Andrew Hooyman; Daniel S Peterson; Sydney Y Schaefer
Journal:  Curr Phys Med Rehabil Rep       Date:  2020-09-10

4.  Neural Correlates of Single- and Dual-Task Walking in the Real World.

Authors:  Sara Pizzamiglio; Usman Naeem; Hassan Abdalla; Duncan L Turner
Journal:  Front Hum Neurosci       Date:  2017-09-14       Impact factor: 3.169

5.  Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.

Authors:  Jorge Latorre; Carolina Colomer; Mariano Alcañiz; Roberto Llorens
Journal:  J Neuroeng Rehabil       Date:  2019-07-26       Impact factor: 4.262

6.  Influence of the Passive Stabilization of the Trunk and Upper Limb on Selected Parameters of the Hand Motor Coordination, Grip Strength and Muscle Tension, in Post-Stroke Patients.

Authors:  Anna Olczak; Aleksandra Truszczyńska-Baszak
Journal:  J Clin Med       Date:  2021-05-29       Impact factor: 4.241

7.  Immediate synergistic effect of a trunk orthosis with joints providing resistive force and an ankle-foot orthosis on hemiplegic gait.

Authors:  Junji Katsuhira; Sumiko Yamamoto; Nodoka Machida; Yuji Ohmura; Masako Fuchi; Mizuho Ohta; Setsuro Ibayashi; Arito Yozu; Ko Matsudaira
Journal:  Clin Interv Aging       Date:  2018-02-05       Impact factor: 4.458

8.  Neural predictors of gait stability when walking freely in the real-world.

Authors:  Sara Pizzamiglio; Hassan Abdalla; Usman Naeem; Duncan L Turner
Journal:  J Neuroeng Rehabil       Date:  2018-02-27       Impact factor: 4.262

9.  Axial Thorax-Pelvis Coordination During Gait is not Predictive of Apparent Trunk Stiffness.

Authors:  Maarten R Prins; Sjoerd M Bruijn; Onno G Meijer; Peter van der Wurff; Jaap H van Dieën
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

10.  Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool.

Authors:  Francesco Negrini; Giulio Gasperini; Eleonora Guanziroli; Jacopo Antonino Vitale; Giuseppe Banfi; Franco Molteni
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

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