Literature DB >> 33573057

Assessment of the Effectiveness of Rehabilitation after Total Knee Replacement Surgery Using Sample Entropy and Classical Measures of Body Balance.

Anna Hadamus1, Dariusz Białoszewski1, Michalina Błażkiewicz2, Aleksandra J Kowalska3, Edyta Urbaniak3, Kamil T Wydra3, Karolina Wiaderna1, Rafał Boratyński3, Agnieszka Kobza3, Wojciech Marczyński4.   

Abstract

Exercises in virtual reality (VR) have recently become a popular form of rehabilitation and are reported to be more effective than a standard rehabilitation protocol alone. The aim of this study was to assess the efficacy of adjunct VR training in improving postural control in patients after total knee replacement surgery (TKR). Forty-two patients within 7-14 days of TKR were enrolled and divided into a VR group and a control group (C). The C group underwent standard postoperative rehabilitation. The VR group additionally attended twelve 30-min exercise sessions using the Virtual Balance Clinic prototype system. Balance was assessed on the AMTI plate in bipedal standing with and without visual feedback before and after the four-week rehabilitation. Linear measures and sample entropy of CoP data were analyzed. After four weeks of rehabilitation, a significant reduction in parameters in the sagittal plane and ellipse area was noted while the eyes remained open. Regression analysis showed that sample entropy depended on sex, body weight, visual feedback and age. Based on the sample entropy results, it was concluded that the complexity of the body reaction had not improved. The standing-with-eyes-closed test activates automatic balance mechanisms and offers better possibilities as a diagnostic tool.

Entities:  

Keywords:  body balance; knee arthroplasty; osteoarthritis; sample entropy; total knee replacement surgery; virtual reality

Year:  2021        PMID: 33573057      PMCID: PMC7911395          DOI: 10.3390/e23020164

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  36 in total

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4.  Postural control strategy during standing is altered in patients with multiple sclerosis.

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Journal:  Neurosci Lett       Date:  2012-07-21       Impact factor: 3.046

5.  Emotion-induced higher wavelet entropy in the EEG with depression during a cognitive task.

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6.  Patient perspectives on virtual reality-based rehabilitation after knee surgery: Importance of level of difficulty.

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Journal:  J Rehabil Res Dev       Date:  2016

7.  Diagnostic dependence of muscle strength measurements and the risk of falls in the elderly.

Authors:  Patrycja Bobowik; Ida Wiszomirska
Journal:  Int J Rehabil Res       Date:  2020-12       Impact factor: 1.479

8.  An overview of randomization techniques: An unbiased assessment of outcome in clinical research.

Authors:  Kp Suresh
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9.  On the use of approximate entropy and sample entropy with centre of pressure time-series.

Authors:  Luis Montesinos; Rossana Castaldo; Leandro Pecchia
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10.  Balance training using virtual reality improves balance and physical performance in older adults at high risk of falls.

Authors:  Steven Phu; Sara Vogrin; Ahmed Al Saedi; Gustavo Duque
Journal:  Clin Interv Aging       Date:  2019-08-28       Impact factor: 4.458

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  3 in total

Review 1.  Virtual reality rehabilitation following total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Aaron Gazendam; Meng Zhu; Yaping Chang; Steve Phillips; Mohit Bhandari
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-02-19       Impact factor: 4.114

2.  Nonlinear and Linear Measures in the Differentiation of Postural Control in Patients after Total Hip or Knee Replacement and Healthy Controls.

Authors:  Anna Hadamus; Michalina Błażkiewicz; Aleksandra J Kowalska; Kamil T Wydra; Marta Grabowicz; Małgorzata Łukowicz; Dariusz Białoszewski; Wojciech Marczyński
Journal:  Diagnostics (Basel)       Date:  2022-06-30

3.  Effectiveness of Early Rehabilitation with Exergaming in Virtual Reality on Gait in Patients after Total Knee Replacement.

Authors:  Anna Hadamus; Michalina Błażkiewicz; Kamil T Wydra; Aleksandra J Kowalska; Małgorzata Łukowicz; Dariusz Białoszewski; Wojciech Marczyński
Journal:  J Clin Med       Date:  2022-08-23       Impact factor: 4.964

  3 in total

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