https://www.ijmhr.org/ijpr.html editor_physiotherapy@hotmail.com
ISSN:       2321-1822 (E) 2321-8975 (P)

IJPR.2020.114

DOWNLOAD PDF
Table of Contents

Type of Article:  Review

Volume 8; Issue 2 (April 2020)

Page No.: 3429-3437

DOI: https://dx.doi.org/10.16965/ijpr.2020.114

VARIOUS STATIC AND DYNAMIC BALANCE MEASURING AND TRAINING MECHANICAL TOOLS IN PATIENTS WITH CLINICAL CONDITIONS: A LITERATURE REVIEW

Zoya Khatri *1, Chetana Kunde 2, Suvarna Ganvir 3.

*1 Intern in Dr. Vithalrao Vikhe Patil Foundations College of Physiotherapy, Ahmednagar, Maharashtra, India.

2 Assistant Professor (Dept. of Neurosciences), Dr. Vithalrao Vikhe Patil Foundations College of Physiotherapy, Ahmednagar, Maharashtra, India.

3 HOD and  Professor (Dept. of Neurosciences), Dr. Vithalrao Vikhe Patil Foundations College of Physiotherapy, Ahmednagar, Maharashtra, India.

Corresponding Author: Dr. Zoya Khatri, PT., Intern in Dr. Vithalrao Vikhe Patil Foundations College of Physiotherapy, Ahmednagar, Maharashtra, India. E-Mail: zoyakhatri2@gmail.com

ABSTRACT

Background: Balance is defined as the ability to maintain a position within the limits of stability or base of support. It is indicated that postural control system plays an important role in maintenance of balance on the small support base. The complexity of balancing processes makes it challenging to assess balancing abilities in a concise, holistic approach. This study extends previous efforts by reviewing a large number of papers that use of various mechanical tools to assess postural balance and by providing a detailed overview of the common mechanical tools used to assess postural balance and gait.

Methods: We searched the electronic database. The literature search produced a total of 302 items. After removal of duplicates, posters, other studies not mention mechanical tools to evaluate static and dynamic balance in clinical conditions, 28 papers met the inclusion criteria for this review.

Results: This search selected 7 tools to assess trunk control in various clinical conditions: Inertial balance sensor, Computerised dynamic posturography, Biodex Balance System, Force plate., MatScan® pressure mat, Microsoft Kinect’s built-in RGB-D sensor and Clinical Test of sensory integration using Chinese lantern.

Conclusion: Inertial as well as Microsoft Kinect’s built-in RGB-D sensors are cost effective, time effective, does not need a specific set up, analysis static balance as well as the gait parameters. This can therefore be chosen over other mechanical tools due to its better convenience and efficiency.

KEY WORDS: Static Balance, Dynamic Balance, Mechanical tools, Posturography, Sensors, Clinical Conditions.

REFERENCES

  1. Pollock AS, Durward BR, Rowe PJ, et al. What is balance? ClinRehabil, 2000, 14: 402–406.
  2. Evaluation of postural control in unilateral vestibular hypofunction.Quitschal RM, Fukunaga, et al. 2014; 80(4):339-45.
  3. Katz J. M. L., Burkard R., Hood L. J. Handbook of Clinical Audiology.Lippincott Williams & Wilkins; 2009
  4. Wade DT, Hewer RL: Functional abilities after stroke: measurement, natural history and prognosis. J NeurolNeurosurg Psychiatry, 1987, 50: 177–182.
  5. Petró B, Papachatzopoulou A, Kiss RM (2017) Devices and tasks involved in the objective assessment of standing dynamic balancing – A systematic literature review. PLoS ONE 12(9): e0185188.
  6. Verbecque E, Lobo Da Costa PH, Vereeck L, Hallemans A. Psychometric properties of functional balance tests in children: A literature review. Dev Med Child Neurol. 2015;57: 521–529.
  7. Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review Marco GDISShislieri, Laura Gastaldi, et al. Sept 2019; 19(19): 4075
  8. Yu-Liang Hsu, Pau-Choo (Julia) Chung et al. Gait and Balance Analysis for Patients With Alzheimer’s Disease Using an Inertial-Sensor-Based Wearable Instrument. IEEE journal of biomedical and health informatics. november 2014; 18(6):1822-1830
  9. J. Sheehan, B.R. Greene et.al.Early identification of declining balance in higher functioning older adults:an inertial sensor based method. Gait and balance; 39(2014):1034-1039.
  10. Seline Wüest, Fabien Massé et.al Reliability and validity of the inertial sensor-based Timed “Up and Go” test in individuals affected by stroke.JRRD. 2016;53(5): 599–610
  11. Kyoung Jae Kim 1,2, Yoav Gimmo et.al Using Inertial Sensors to Quantify Postural Sway and Gait Performance during the Tandem Walking Test. MDPI. Feb 2019;19:751
  12. Computerized Dynamic Posturography (CDP) 2018. Medical Coverage Policy
  13. Martin Vališ, Jakub Dršata et.al Computerised static posturography in neurology. Central European Journal of Medicine.2012; 7(3):317-322.
  14. Donáa,b,*, C.C. Aquino et.al Changes in postural control in patients with Parkinson’s
  15. disease: a posturographic study. 2016; 102(3), 272-279.
  16. Steven P. Broglio, Jacob Sosnoff et.al A Comparison of Balance Performance: Computerized Dynamic Posturography and a Random Motion Platform. Arch Phys Med Rehabil 2009; 90: 145-50.
  17. Martha R. Hinman. Factors Affecting Reliability of the Biodex Balance System: A summary of Four Studies. J Sport Rehabil. 200;9:240-252.
  18. Furqan Ahmed Siddiqi 1, Tahir Masood .Training on Biodex balance system improves balance and mobility in the elderly. J Pak Med Assoc. November 2018;68(11):1655-1659
  19. Ibrahim AA1*, Mohamed AMR et.al The relevance of balance assessment to detect balance deficits in obese subjects: A cross sectional study. Biol Med Case Rep.2018; 2(1):15-20.
  20. Bina Eftekhar-Sadat, Roghayyeh Azizi, Akbar Aliasgharzadeh. Effect of balance training with Biodex Stability System on balance in diabetic neuropathy. Ther Adv Endocrinol Metab 2015; 6(5):233 –240.
  21. Narcis Gusi1, Jose Carmelo Adsua et.al Balance training reduces fear of falling and improves dynamic balance and isometric strength in institutionalised older people: a randomised trial .Journal of Physiotherapy.2012;58: 97–104.
  22. Chia-Hsuan Lee and Tien-Lung Sun Evaluation of postural stability based on a force plate and inertial sensor during static balance measurements. Lee and Sun Journal of Physiological Anthropology. 2018;37:27
  23. Kathryn A. Chung, Brenna M. Lobb, et al. Objective Measurement of Dyskinesia in Parkinson Disease using a Force Plate. NIH Public Access-Mov Disord .2010 April 15; 25(5): 602–608
  24. Bickley C, Linton J, Sullivan E, Mitchell K, Slota G, Barnes D. Comparison of Simultaneous Static Standing Balance Data on a Pressure Mat and Force Plate in Typical Children and in Children with Cerebral Palsy. Gait and amp; Posture; 2018
  25. Harro, Cathy C. PT, DPT; Garascia, Chelsea PT, DPT Reliability and Validity of Computerized Force Platform Measures of Balance Function in Healthy Older Adults Journal of Geriatric Physical Therapy: July/September 2019; 42(3):57-66
  26. Brenton-Rule et al. Reliability of the TekScan MatScan system for the measurement of postural instability in older people with rheumatoid arthritis. Journal of Foot and Ankle Research 2012, 5:21
  27. Goetschius J, Feger MA, Hertel J, Hart JM. Validating Center of Pressure Balance Measurements Using the MatScan® Pressure Mat. Journal of Sport Rehabilitation. 2017.
  28. Yang Yang, Fang Pu, et al Reliability and Validity of Kinect RGB-D Sensor for Assessing Standing Balance. Ieee Sensors Journal. May 2014;14(5), 1633-1668.
  29. Pablo Rodrigo DIAZ-MONTERROSAS, Ruben POSADA-GOMEZ et al A Brief Review on the Validity and Reliability of Microsoft Kinect Sensors for Functional Assessment Applications. Advances in Electrical and Computer Engineering.2018;18(1):132-136.
  30. Jingbo Zhao, Frank E. Bunn et al Gait Assessment using the Kinect RGB-D Sensor. Ieee Sensors Journal. 2015;14(5), 6679-6683.
  31. Clark et al. Instrumenting gait assessment using the Kinect in people living with stroke:reliability and association with balance tests. Journal of NeuroEngineering and Rehabilitation .2015;12:15.
  32. Helen Cohen et. al. Study of the Clinical Test of Sensory Interaction and Balance. Physical Therapy.June 1993; 73(6):346-351.
  33. Khattar VS, Hathiram BT. The clinical test for sensory integration of balance. Int Journal of Otorhinolaryngol Clin. 2012; 4(1): 41-45
  34. Joseley Sunderraj Pandian et. al. Clinical test of sensory interaction in balance (CTSIB): Concurrent validity study in healthy Indian children. Journal of Pediatric Neurology .2011;(9): 311–318.
  35. Yones Lotfi et. al. Modified clinical test of sensory interaction on balance test use for assessing effectiveness of Epley maneuver in benign paroxysmal positional vertigo patients rehabilitation. Aud Vest Res (2018);27(1):12-18.

Cite this article: Zoya Khatri, Chetana Kunde, Suvarna Ganvir. VARIOUS STATIC AND DYNAMIC BALANCE MEASURING AND TRAINING MECHANICAL TOOLS IN PATIENTS WITH CLINICAL CONDITIONS: A LITERATURE REVIEW. Int J Physiother Res 2020;8(2):3429-3437. DOI: 10.16965/ijpr.2020.114