Literature DB >> 29060412

Evaluation of postural instability in stroke patient during quiet standing.

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Abstract

This study was designed to investigate the postural instability in stroke survivals during quiet standing. Eleven stroke patients and 11 healthy volunteers (gender- and age-matched) were recruited for this experiment. The center of pressure (COP) signals from both planta in anterior-posterior (AP) and medial-lateral (ML) directions were recorded using a three-dimensional motion capture system (BTS Bioengineering Corp, Italy) when subjects stood on the two adjacent force platforms quietly with their eyes open (EO) for 30 s and with their eyes close (EC) for another 30 s. The standard deviation (SD) for the two limbs and the inter-limb cross correlation-coefficient (CC) of COP series were calculated under EO and EC conditions, respectively. Patients showed significant differences in SD of AP-COP between two sides under EO (p <; 0.05) and EC (p <; 0.001) conditions. The SD of the ML-COP on non-paretic limb of patients was higher than that of controls under EC (p <; 0.05). Lower CC values of AP-COP was found in patients versus controls under two vision conditions (p <; 0.05), and the values in two groups increased significantly after removal of vision information (p <; 0.05). Stroke led to an increased postural sway and decreased inter-limb coordination during quiet standing. This study may facilitate the evaluation of the standing instability in stroke survivors and may improve the strategies for rehabilitation.

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Year:  2017        PMID: 29060412     DOI: 10.1109/EMBC.2017.8037370

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Immersive Virtual Reality in Stroke Patients as a New Approach for Reducing Postural Disabilities and Falls Risk: A Case Series.

Authors:  Irene Cortés-Pérez; Francisco Antonio Nieto-Escamez; Esteban Obrero-Gaitán
Journal:  Brain Sci       Date:  2020-05-15

2.  Evaluation of Postural Sway in Post-stroke Patients by Dynamic Time Warping Clustering.

Authors:  Dongdong Li; Kohei Kaminishi; Ryosuke Chiba; Kaoru Takakusaki; Masahiko Mukaino; Jun Ota
Journal:  Front Hum Neurosci       Date:  2021-12-03       Impact factor: 3.169

  2 in total

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