Balance recovery through virtual stepping exercises using kinect skeleton tracking: A follow-up study with chronic stroke patients

Annual Review of CyberTherapy and Telemedicine

Volumn 10, Issue , 2012, Pages 108-112

  Lloréns, Roberto ^a   Alcañiz, Mariano ^a,b   Colomer, Carolina ^c   Navarro, María Dolores ^c  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITAT JAUME I   (Spain)

^c Hospital NISA Valencia Al Mar y Sevilla Aljarafe   (Spain)

Author keywords

Acquired brain injury; Balance recovery; Biotrak system; Skeleton tracking; Virtual rehabilitation

Indexed keywords

ADULT; ARTICLE; BALANCE DISORDER; CEREBROVASCULAR ACCIDENT; CLINICAL EFFECTIVENESS; COMPUTER; CONVALESCENCE; EXERCISE; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; MOTIVATION; NEUROREHABILITATION; QUALITY OF LIFE; STROKE PATIENT; TELEREHABILITATION; VIRTUAL STEPPING EXERCISE; BALANCE RECOVERY; CLINICAL ARTICLE; SENSORIMOTOR FUNCTION; SKELETON TRACKING; STANDING; VIRTUAL REALITY; BODY EQUILIBRIUM; CHI SQUARE DISTRIBUTION; CHRONIC DISEASE; COMPUTER INTERFACE; INTERVENTION STUDY; KINESIOTHERAPY; METHODOLOGY; MIDDLE AGED; PARESIS; PATHOPHYSIOLOGY; PHYSIOLOGY;

CHI-SQUARE DISTRIBUTION; CHRONIC DISEASE; EXERCISE THERAPY; FEMALE; FOLLOW-UP STUDIES; HUMANS; INTERVENTION STUDIES; MALE; MIDDLE AGED; PARESIS; POSTURAL BALANCE; STROKE; USER-COMPUTER INTERFACE;

MUSCULOSKELETAL SYSTEM; RECOVERY; VIRTUAL REALITY;

ACQUIRED BRAIN INJURIES; BALANCE RECOVERIES; BIOTRAK SYSTEM; SKELETON TRACKING; VIRTUAL REHABILITATION;

PATIENT REHABILITATION;

EID: 84872005515     PISSN: 15548716     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. S.F. Tyson, et al., The relationship between balance, disability, and recovery after stroke: predictive validity of the Brunel Balance Assessment, Neurorehabil Neural Repair 21(4) (2007), 341-6.
2. J.H. Kim, et al., Use of virtual reality to enhance balance and ambulation in chronic stroke: a doubleblind, randomized controlled study, Am J Phys Med Rehabil 88(9) (2009), 693-701.
3. J.A. Gil-Gomez, et al., Effectiveness of a Wii balance board-based system (eBaViR) for balance rehabilitation: a pilot randomized clinical trial in patients with acquired brain injury, J Neuroeng Rehabil 8 (2011), 30.
4. Microsoft. Kinect for Windows. 2012; Available from: http://www.microsoft.com/enus/kinectforwindows/.
5. R. Lloréns, et al., BioTrak: a comprehensive overview. in International Conference on Virtual Rehabilitation 2011 (2011), 1-6.
6. S.F. Tyson and L.H. DeSouza, Development of the Brunel Balance Assessment: a new measure of balance disability post stroke, Clin Rehabil 18(7) (2004), 801-10.
7. M.F. Folstein, S.E. Folstein, and P.R. McHugh, “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician, J Psychiatr Res 12(3) (1975), 189-98.
8. K. Berg, S. Wood-Dauphinee, and J.I. Williams, The Balance Scale: reliability assessment with elderly residents and patients with an acute stroke, Scand J Rehabil Med 27(1) (1995), 27-36.
9. M.E. Tinetti, Performance-oriented assessment of mobility problems in elderly patients, J Am Geriatr Soc 34(2) (1986), 119-26.
10. P. Rossier and D.T. Wade, Validity and reliability comparison of 4 mobility measures in patients presenting with neurologic impairment, Arch Phys Med Rehabil 82(1) (2001), 9-13.
11. R.A. Liston and B.J. Brouwer, Reliability and validity of measures obtained from stroke patients using the Balance Master, Arch Phys Med Rehabil 77(5) (1996), 425-30.
12. M.A. Dimyan and L.G. Cohen, Neuroplasticity in the context of motor rehabilitation after stroke, Nat Rev Neurol 7(2) (2011), 76-85.