Literature DB >> 25844853

Using Accelerometer and Gyroscopic Measures to Quantify Postural Stability.

Jay L Alberts1,2,3,4, Joshua R Hirsch1,3, Mandy Miller Koop1, David D Schindler1,3, Daniel E Kana1, Susan M Linder1,3, Scott Campbell1,3, Anil K Thota1,2.   

Abstract

CONTEXT: Force platforms and 3-dimensional motion-capture systems provide an accurate method of quantifying postural stability. Substantial cost, space, time to administer, and need for trained personnel limit widespread use of biomechanical techniques in the assessment of postural stability in clinical or field environments.
OBJECTIVE: To determine whether accelerometer and gyroscope data sampled from a consumer electronics device (iPad2) provide sufficient resolution of center-of-gravity (COG) movements to accurately quantify postural stability in healthy young people.
DESIGN: Controlled laboratory study.
SETTING: Research laboratory in an academic medical center. PATIENTS OR OTHER PARTICIPANTS: A total of 49 healthy individuals (age = 19.5 ± 3.1 years, height = 167.7 ± 13.2 cm, mass = 68.5 ± 17.5 kg). INTERVENTION(S): Participants completed the NeuroCom Sensory Organization Test (SOT) with an iPad2 affixed at the sacral level. MAIN OUTCOME MEASURE(S): Primary outcomes were equilibrium scores from both systems and the time series of the angular displacement of the anteroposterior COG sway during each trial. A Bland-Altman assessment for agreement was used to compare equilibrium scores produced by the NeuroCom and iPad2 devices. Limits of agreement was defined as the mean bias (NeuroCom - iPad) ± 2 standard deviations. Mean absolute percentage error and median difference between the NeuroCom and iPad2 measurements were used to evaluate how closely the real-time COG sway measured by the 2 systems tracked each other.
RESULTS: The limits between the 2 devices ranged from -0.5° to 0.5° in SOT condition 1 to -2.9° to 1.3° in SOT condition 5. The largest absolute value of the measurement error within the 95% confidence intervals for all conditions was 2.9°. The mean absolute percentage error analysis indicated that the iPad2 tracked NeuroCom COG with an average error ranging from 5.87% to 10.42% of the NeuroCom measurement across SOT conditions.
CONCLUSIONS: The iPad2 hardware provided data of sufficient precision and accuracy to quantify postural stability. Accuracy, portability, and affordability make using the iPad2 a reasonable approach for assessing postural stability in clinical and field environments.

Entities:  

Keywords:  biomechanics; concussions; motor control; motor function

Mesh:

Year:  2015        PMID: 25844853      PMCID: PMC4527441          DOI: 10.4085/1062-6050-50.2.01

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  49 in total

1.  Detecting altered postural control after cerebral concussion in athletes with normal postural stability.

Authors:  J T Cavanaugh; K M Guskiewicz; C Giuliani; S Marshall; V Mercer; N Stergiou
Journal:  Br J Sports Med       Date:  2005-11       Impact factor: 13.800

2.  Direction-specific postural instability in subjects with Parkinson's disease.

Authors:  Fay B Horak; Diana Dimitrova; John G Nutt
Journal:  Exp Neurol       Date:  2005-06       Impact factor: 5.330

3.  Gait stability following concussion.

Authors:  Tonya M Parker; Louis R Osternig; Paul VAN Donkelaar; Li-Shan Chou
Journal:  Med Sci Sports Exerc       Date:  2006-06       Impact factor: 5.411

4.  Intrarater and interrater reliability of the Balance Error Scoring System (BESS).

Authors:  Jonathan T Finnoff; Valerie J Peterson; John H Hollman; Jay Smith
Journal:  PM R       Date:  2008-12-10       Impact factor: 2.298

5.  Trunk accelerometry reveals postural instability in untreated Parkinson's disease.

Authors:  Martina Mancini; Fay B Horak; Cris Zampieri; Patricia Carlson-Kuhta; John G Nutt; Lorenzo Chiari
Journal:  Parkinsonism Relat Disord       Date:  2011-06-08       Impact factor: 4.891

Review 6.  Computerised cognitive assessment of athletes with sports related head injury.

Authors:  A Collie; D Darby; P Maruff
Journal:  Br J Sports Med       Date:  2001-10       Impact factor: 13.800

7.  Clinical tests of standing balance: performance of persons with multiple sclerosis.

Authors:  D Frzovic; M E Morris; L Vowels
Journal:  Arch Phys Med Rehabil       Date:  2000-02       Impact factor: 3.966

8.  Previous mild traumatic brain injury and postural-control dynamics.

Authors:  Jacob J Sosnoff; Steven P Broglio; Sunghoon Shin; Michael S Ferrara
Journal:  J Athl Train       Date:  2011 Jan-Feb       Impact factor: 2.860

9.  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

10.  Effect of mild head injury on postural stability in athletes.

Authors:  K M Guskiewicz; D H Perrin; B M Gansneder
Journal:  J Athl Train       Date:  1996-10       Impact factor: 2.860

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  26 in total

1.  Quantification of the Balance Error Scoring System with Mobile Technology.

Authors:  Jay L Alberts; Anil Thota; Joshua Hirsch; Sarah Ozinga; Tanujit Dey; David D Schindler; Mandy M Koop; Daniel Burke; Susan M Linder
Journal:  Med Sci Sports Exerc       Date:  2015-10       Impact factor: 5.411

2.  Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.

Authors:  William Johnston; Martin O'Reilly; Rob Argent; Brian Caulfield
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

3.  A COMPREHENSIVE INSTRUMENT FOR EVALUATING MILD TRAUMATIC BRAIN INJURY (MTBI)/CONCUSSION IN INDEPENDENT ADULTS: A PILOT STUDY.

Authors:  Amanda Borges; Scot Raab; Monica Lininger
Journal:  Int J Sports Phys Ther       Date:  2017-06

4.  External Load of Flamenco Zap-3 Footwork Test: Use of PlayerLoad Concept with Triaxial Accelerometry.

Authors:  Ningyi Zhang; Sebastián Gómez-Lozano; Ross Armstrong; Hui Liu; Alfonso Vargas-Macías
Journal:  Sensors (Basel)       Date:  2022-06-27       Impact factor: 3.847

5.  Osteopathic Cranial Manipulation for a Patient With Whiplash-Associated Disorder: A Case Report.

Authors:  Giovanni Parravicini; Matteo Ghiringhelli
Journal:  J Chiropr Med       Date:  2022-04-06

6.  Use of Mobile Device Accelerometry to Enhance Evaluation of Postural Instability in Parkinson Disease.

Authors:  Sarah J Ozinga; Susan M Linder; Jay L Alberts
Journal:  Arch Phys Med Rehabil       Date:  2016-09-23       Impact factor: 3.966

7.  Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance Test.

Authors:  William Johnston; Martin O'Reilly; Garrett F Coughlan; Brian Caulfield
Journal:  Digit Biomark       Date:  2018-01-09

8.  The cyclical lower extremity exercise for Parkinson's trial (CYCLE): methodology for a randomized controlled trial.

Authors:  Anson B Rosenfeldt; Matthew Rasanow; Amanda L Penko; Erik B Beall; Jay L Alberts
Journal:  BMC Neurol       Date:  2015-04-24       Impact factor: 2.474

9.  Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases.

Authors:  Lieven Billiet; Thijs Willem Swinnen; Rene Westhovens; Kurt de Vlam; Sabine Van Huffel
Journal:  Sensors (Basel)       Date:  2016-12-16       Impact factor: 3.576

10.  Evaluation of Concurrent Validity between a Smartphone Self-Test Prototype and Clinical Instruments for Balance and Leg Strength.

Authors:  Linda Mansson; Pernilla Bäckman; Fredrik Öhberg; Jonas Sandlund; Jonas Selling; Marlene Sandlund
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

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