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dc.contributor.author | Álvarez, Ignacio | es_ES |
dc.contributor.author | Latorre, Jorge | es_ES |
dc.contributor.author | Aguilar, Miquel | es_ES |
dc.contributor.author | Pastor, Pau | es_ES |
dc.contributor.author | Llorens Rodríguez, Roberto | es_ES |
dc.date.accessioned | 2021-05-27T03:34:17Z | |
dc.date.available | 2021-05-27T03:34:17Z | |
dc.date.issued | 2020-11-11 | es_ES |
dc.identifier.issn | 1743-0003 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/166830 | |
dc.description.abstract | [EN] Background Accurate assessment of balance and gait is necessary to monitor the clinical progress of Parkinson's disease (PD). Conventional clinical scales can be biased and have limited accuracy. Novel interactive devices are potentially useful to detect subtle posture or gait-related impairments. Methods Posturographic and single and dual-task gait assessments were performed to 54 individuals with PD and 43 healthy controls with the Wii Balance Board and the Kinect v2 and the, respectively. Individuals with PD were also assessed with the Tinetti Performance Oriented Mobility Assessment, the Functional Gait Assessment and the 10-m Walking Test. The influence of demographic and clinical variables on the performance in the instrumented posturographic and gait tests, the sensitivity of these tests to the clinical condition and phenotypes, and their convergent validity with clinical scales were investigated. Results Individuals with PD in H&Y I and I.5 stages showed similar performance to controls. The greatest differences in posture and gait were found between subjects in H&Y II.5 and H&Y I-I.5 stage, as well as controls. Dual-tasking enhanced the differences among all groups in gait parameters. Akinetic/rigid phenotype showed worse postural control and gait than other phenotypes. High significant correlations were found between the limits of stability and most of gait parameters with the clinical scales. Conclusions Low-cost devices showed potential to objectively quantify posture and gait in established PD (H&Y >= II). Dual-tasking gait evaluation was more sensitive to detect differences among PD stages and compared to controls than free gait. Gait and posture were more impaired in akinetic/rigid PD. | es_ES |
dc.description.sponsorship | This study has been funded by project VALORA, Grant 201701-10 of the Fundacio la Marato de la TV3 (Barcelona, Spain) and the European Union through the Operational Program of the European Regional Development Fund (ERDF) of the Valencian Community 2014-2020 (IDIFEDER/2018/029) to RL, and Alter Laboratories SA to PP. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer (Biomed Central Ltd.) | es_ES |
dc.relation.ispartof | Journal of NeuroEngineering and Rehabilitation | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Parkinson's disease | es_ES |
dc.subject | Gait | es_ES |
dc.subject | Posture | es_ES |
dc.subject | Kinect | es_ES |
dc.subject | Wii balance board | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Validity and sensitivity of instrumented postural and gait assessment using low-cost devices in Parkinson's disease | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1186/s12984-020-00770-7 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Fundació La Marató de TV3//201701-10/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//IDIFEDER%2F2018%2F029/ES/INTERFACES DE REALIDAD MIXTA APLICADA A SALUD Y TOMA DE DECISIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Álvarez, I.; Latorre, J.; Aguilar, M.; Pastor, P.; Llorens Rodríguez, R. (2020). Validity and sensitivity of instrumented postural and gait assessment using low-cost devices in Parkinson's disease. Journal of NeuroEngineering and Rehabilitation. 17(1):1-10. https://doi.org/10.1186/s12984-020-00770-7 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1186/s12984-020-00770-7 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 10 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 17 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.pmid | 33176833 | es_ES |
dc.identifier.pmcid | PMC7656721 | es_ES |
dc.relation.pasarela | S\424702 | es_ES |
dc.contributor.funder | Laboratorios Alter, S.A. | es_ES |
dc.contributor.funder | Fundació La Marató de TV3 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.description.references | Nussbaum RL, Ellis CE. Alzheimer’s Disease and Parkinson’s Disease. N Engl J Med. 2003;13:56–64. | es_ES |
dc.description.references | Hass CJ, Malczak P, Nocera J, Stegemöller EL, Shukala A, Malaty I, et al. Quantitative normative Gait data in a large cohort of ambulatory persons with parkinson’s disease. PLoS ONE. 2012;2:12. | es_ES |
dc.description.references | Hass CJ, Bishop M, Moscovich M, Stegemöller EL, Skinner J, Malaty IA, et al. Defining the clinically meaningful difference in gait speed in persons with Parkinson disease. J Neurol Phys Ther. 2014;38:233–8. | es_ES |
dc.description.references | Koh S, Park K, Lee D. Gait analysis in patients with Parkinson ’ s disease: relationship to clinical features and freezing. J Mov Disord. 2008;1:6. | es_ES |
dc.description.references | Nanhoe-Mahabier W, Snijders AH, Delval A, Weerdesteyn V, Duysens J, Overeem S, et al. Walking patterns in Parkinson’s disease with and without freezing of gait. Neuroscience. 2011;182:217–24. https://doi.org/10.1016/j.neuroscience.2011.02.061. | es_ES |
dc.description.references | Raffegeau TE, Krehbiel LM, Kang N, Thijs FJ, Altmann LJP, Cauraugh JH, et al. A meta-analysis: Parkinson’s disease and dual-task walking. Park Relat Disord. 2019;62:28–35. | es_ES |
dc.description.references | Panyakaew P, Bhidayasiri R. The spectrum of preclinical gait disorders in early Parkinson’s disease: Subclinical gait abnormalities and compensatory mechanisms revealed with dual tasking. J Neural Transm. 2013;120:1665–72. | es_ES |
dc.description.references | Bloem BR, Marinus J, Almeida Q, Dibble L, Nieuwboer A, Post B, et al. Measurement instruments to assess posture, gait, and balance in Parkinson’s disease: Critique and recommendations. Mov Disord. 2016;31:1342–55. | es_ES |
dc.description.references | Delval A, Snijders AH, Weerdesteyn V, Duysens JE, Defebvre L, Giladi N, et al. Objective detection of subtle freezing of gait episodes in Parkinson’s disease. Mov Disord. 2010;25:1684–93. https://doi.org/10.1002/mds.23159. | es_ES |
dc.description.references | Verghese J, Holtzer R, Lipton RB, Wang C. Quantitative gait markers and incident fall risk in older adults. J Gerontol Ser A Biol Sci Med Sci. 2009;64A:896–901. | es_ES |
dc.description.references | Schlachetzki JCM, Barth J, Marxreiter F, Gossler J, Kohl Z, Reinfelder S, et al. Wearable sensors objectively measure gait parameters in Parkinson’s disease. PLoS ONE. 2017;12:1–18. | es_ES |
dc.description.references | Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, et al. A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease. J Neuroeng Rehabil. 2016;13:1–10. https://doi.org/10.1186/s12984-016-0136-7. | es_ES |
dc.description.references | Micó-Amigo ME, Kingma I, Faber GS, Kunikoshi A, van Uem JMT, van Lummel RC, et al. Is the assessment of 5 meters of gait with a single body-fixed-sensor enough to recognize idiopathic Parkinson’s disease-associated gait? Ann Biomed Eng. 2017;45:1266–78. | es_ES |
dc.description.references | Rovini E, Maremmani C, Cavallo F. How wearable sensors can support parkinson’s disease diagnosis and treatment: a systematic review. Front Neurosci. 2017;9:12. | es_ES |
dc.description.references | Chen S, Lach J, Lo B, Yang GZ. Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review. IEEE J Biomed Health Inform. 2016;9:1521–37. | es_ES |
dc.description.references | Díaz S, Stephenson JB, Labrador MA. Use of wearable sensor technology in gait, balance, and range of motion analysis. Appl Sci. 2020;10(1):234. | es_ES |
dc.description.references | Park DS, Lee G. Validity and reliability of balance assessment software using the Nintendo Wii balance board: usability and validation. J Neuroeng Rehabil. 2014;11:99. | es_ES |
dc.description.references | Holmes JD, Jenkins ME, Johnson AM, Hunt MA, Clark RA. Validity of the Nintendo Wii balance board for the assessment of standing balance in Parkinson’s disease. Clin Rehabil. 2013;27:361–6. | es_ES |
dc.description.references | Llorens R, Latorre J, Noé E, Keshner EA. Posturography using the Wii Balance BoardTM. A feasibility study with healthy adults and adults post-stroke. Gait Posture. 2016;43:228–32. | es_ES |
dc.description.references | Bower KJ, McGinley JL, Miller KJ, Clark RA. Instrumented static and dynamic balance assessment after stroke using Wii Balance Boards: Reliability and association with clinical tests. PLoS ONE. 2014;9:32321. | es_ES |
dc.description.references | Eltoukhy M, Kuenze C, Andersen MS, Oh J, Signorile J. Prediction of ground reaction forces for Parkinson’s disease patients using a kinect-driven musculoskeletal gait analysis model. Med Eng Phys. 2017;50:75–82. | es_ES |
dc.description.references | Eltoukhy M, Kuenze C, Oh J, Jacopetti M, Wooten S, Signorile J. Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson’s disease. Med Eng Phys. 2017;44:1–7. | es_ES |
dc.description.references | Dolatabadi E, Taati B, Mihailidis A. Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters. Med Eng Phys. 2016;38:952–8. | es_ES |
dc.description.references | Mentiplay BF, Perraton LG, Bower KJ, Pua YH, McGaw R, Heywood S, et al. Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables. J Biomech. 2015;48:2166–70. | es_ES |
dc.description.references | Cao Y, Li BZ, Li QN, Xie JD, Cao BZ, Yu SY. Kinect-based gait analyses of patients with Parkinson’s disease, patients with stroke with hemiplegia, and healthy adults. CNS Neurosci Ther. 2017;9:447–9. | es_ES |
dc.description.references | Galna B, Barry G, Jackson D, Mhiripiri D, Olivier P, Rochester L. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease. Gait Posture. 2014;39:1062–8. | es_ES |
dc.description.references | Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry. 1992;55:181–4. | es_ES |
dc.description.references | Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT, Counsell C, et al. Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: status and recommendations. Mov Disord. 2004;19:1020–8. | es_ES |
dc.description.references | Escribano-Aparicio MV, Pérez-Dively M, García-García FJ, Pérez-Martín A, Romero L, Ferrer G, et al. Validación del MMSE de Folstein en una población española de bajo nivel educativo1. Rev Esp Geriatr Gerontol. 1999;34:319–26. | es_ES |
dc.description.references | Latorre J, Colomer C, Alcañiz M, Llorens R. Gait analysis with the Kinect v2: Normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke. J Neuroeng Rehabil. 2019;16:12. | es_ES |
dc.description.references | Eltoukhy M, Oh J, Kuenze C, Signorile J. Improved kinect-based spatiotemporal and kinematic treadmill gait assessment. Gait Posture. 2017;51:77–83. https://doi.org/10.1016/j.gaitpost.2016.10.001. | es_ES |
dc.description.references | Rajput AH, Voll A, Rajput ML, Robinson CA, Rajput A. Course in parkinson disease subtypes: a 39-year clinicopathologic study. Neurology. 2009;73:206–12. | es_ES |
dc.description.references | Rajput AH, Sitte HH, Rajput A, Fenton ME, Pifl C, Hornykiewicz O. Globus pallidus dopamine and Parkinson motor subtypes: Clinical and brain biochemical correlation. Neurology. 2008;70(16 Pt 2):1403–10. | es_ES |
dc.description.references | Fahn S. Unified Parkinson’s disease rating scale. Recent Dev Park Dis. 1987;2:153–64. | es_ES |
dc.description.references | Kaufer DI, Cummings JL, Ketchel P, Smith V, MacMillan A, Shelley T, et al. Validation of the NPI-Q, a Brief Clinical Form of the Neuropsychiatric Inventory. J Neuropsychiatry Clin Neurosci. 2000;12:233–9. https://doi.org/10.1176/jnp.12.2.233. | es_ES |
dc.description.references | Chaudhuri KR, Martinez-Martin P, Brown RG, Sethi K, Stocchi F, Odin P, et al. The metric properties of a novel non-motor symptoms scale for Parkinson’s disease: results from an international pilot study. Mov Disord. 2007;22:1901–11. | es_ES |
dc.description.references | Christenson GA, Faber RJ, De Zwaan M, Raymond NC, Specker SM, Ekern MD, et al. Compulsive buying: descriptive characteristics and psychiatric comorbidity. J Clin Psychiatry. 1994;55:5–11. | es_ES |
dc.description.references | Peto V, Jenkinson C, Fitzpatrick R, Greenhall R. The development and validation of a short measure of functioning and well being for individuals with Parkinson’s disease. Qual life Res. 1995;4:241–8. | es_ES |
dc.description.references | Lang JT, Kassan TO, Devaney LL, Colon-Semenza C, Joseph MF. Test-retest reliability and minimal detectable change for the 10-meter walk test in older adults with Parkinson’s disease. J Geriatr Phys Ther. 2016;39:165–70. | es_ES |
dc.description.references | Woodhull-McNeal AP. Changes in posture and balance with age. Aging Clin Exp Res. 1992;4:219–25. | es_ES |
dc.description.references | Terrier P, Reynard F. Effect of age on the variability and stability of gait: a cross-sectional treadmill study in healthy individuals between 20 and 69 years of age. Gait Posture. 2015;41:170–4. | es_ES |
dc.description.references | Bohannon RW, Williams AA. Normal walking speed: A descriptive meta-analysis. Physiotherapy. 2011;97:182–9. | es_ES |
dc.description.references | Elbaz A, Artaud F, Dugravot A, Tzourio C, Singh-Manoux A. The gait speed advantage of taller stature is lost with age. Sci Rep. 2018;8:12. | es_ES |
dc.description.references | Laroche DP, Marques NR, Shumila HN, Logan CR, Laurent RS, Goncąlves M. Excess body weight and gait influence energy cost of walking in older adults. Med Sci Sports Exerc. 2015;47:1017–25. | es_ES |
dc.description.references | Stylianou AP, McVey MA, Lyons KE, Pahwa R, Luchies CW. Postural sway in patients with mild to moderate parkinson’s disease. Int J Neurosci. 2011;121:614–21. | es_ES |
dc.description.references | Mancini M, Horak FB, Zampieri C, Carlson-Kuhta P, Nutt JG, Chiari L. Trunk accelerometry reveals postural instability in untreated Parkinson’s disease. Park Relat Disord. 2011;17:557–62. | es_ES |
dc.description.references | Morris M, Iansek R, Smithson F, Huxham F. Postural instability in Parkinson’s disease: a comparison with and without a concurrent task. Gait Posture. 2000;12:205–16. | es_ES |
dc.description.references | Schoneburg B, Mancini M, Horak F, Nutt JG. Framework for understanding balance dysfunction in Parkinson’s disease. Mov Disord. 2013;89:1474–82. | es_ES |
dc.description.references | Doná F, Aquino CC, Gazzola JM, Borges V, Silva SMCA, Ganança FF, et al. Changes in postural control in patients with Parkinson’s disease: a posturographic study. Physiother. 2016;102:272–9. | es_ES |
dc.description.references | Rossi M, Soto A, Santos S, Sesar A, Labella T. A Prospective Study of Alterations in Balance among Patients with Parkinson’s Protocol of the Postural Evaluation. Eur Neurol. 2009;11:171–6. | es_ES |
dc.description.references | Ganesan M, Kumar P, Gupta A, Sathyaprabha TN. Dynamic posturography in evaluation of balance in patients of Parkinson ’ s disease with normal pull test : Concept of a diagonal pull test q. Park Relat Disord. 2010;16:595–9. https://doi.org/10.1016/j.parkreldis.2010.08.005. | es_ES |
dc.description.references | Kim SM, Kim DH, Yang Y, Ha SW, Han JH. Gait Patterns in Parkinson’s Disease with or without Cognitive Impairment. Dement Neurocognitive Disord. 2018;17:57. | es_ES |
dc.description.references | Galletly R, Brauer SG. Does the type of concurrent task affect preferred and cued gait in people with Parkinson’s disease? Aust J Physiother. 2005;51:175–80. | es_ES |
dc.description.references | O’Shea S, Morris ME, Iansek R. Dual task interference during gait in people with Parkinson disease: effects of motor versus cognitive secondary tasks. Phys Ther. 2002;82:888–97. | es_ES |
dc.description.references | Penko AL, Streicher MC, Koop MM, Dey T, Rosenfeldt AB, Bazyk AS, et al. Dual-task interference disrupts parkinson’s gait across multiple cognitive domains. Neuroscience. 2018;379:375–82. | es_ES |
dc.description.references | Yogev-seligmann G, Hausdorff JM, Giladi N. The role of executive function and attention in gait. Mov Disord. 2008;23:329–42. | es_ES |
dc.description.references | Giladi GYN. The contribution of postural control and bilateral coordination to the impact of dual tasking on gait. Exp Brain Res. 2013;226:81–93. | es_ES |
dc.description.references | Micó-Amigo ME, Kingma I, Heinzel S, Nussbaum S, Heger T, van Lummel RC, et al. Dual vs single tasking during circular walking: what better reflects progression in Parkinson’s disease? Front Neurol. 2019. https://doi.org/10.3389/fneur.2019.00372/full. | es_ES |
dc.description.references | Duncan RP, Combs-Miller SA, McNeely ME, Leddy AL, Cavanaugh JT, Dibble LE, et al. Are the average gait speeds during the 10 meter and 6 minute walk tests redundant in Parkinson disease? Gait Posture. 2017;52:178–82. | es_ES |
dc.description.references | Robles-García V, Corral-Bergantiños Y, Espinosa N, Jácome MA, García-Sancho C, Cudeiro J, et al. Spatiotemporal gait patterns during overt and covert evaluation in patients with Parkinson’s disease and healthy subjects: Is there a Hawthorne effect? J Appl Biomech. 2015;31:189–94. | es_ES |
dc.description.references | Mirelman A, Bernad-Elazari H, Thaler A, Giladi-Yacobi E, Gurevich T, Gana-Weisz M, et al. Arm swing as a potential new prodromal marker of Parkinson’s disease. Mov Disord. 2016;31:1527–34. | es_ES |
dc.description.references | Ospina BM, Chaparro JAV, Paredes JDA, Pino YJC, Navarro A, Orozco JL. Objective arm swing analysis in early-stage Parkinson’s disease using an RGB-D Camera (Kinect ®). J Parkinsons Dis. 2018;8:563–70. | es_ES |
dc.description.references | Song J, Sigward S, Fisher B, Salem GJ. Altered dynamic postural control during step turning in persons with early-stage Parkinson’s disease. Parkinsons Dis. 2012. https://doi.org/10.1155/2012/386962. | es_ES |
dc.description.references | Hausdorff JM, Cudkowicz ME, Firtion R, Wei JY, Goldberger AL. Gait variability and basal ganglia disorders: Stride-to-stride variations of gait cycle timing in Parkinson’s disease and Huntington’s disease. Mov Disord. 1998;13:428–37. | es_ES |
dc.description.references | Lamberti P, Armenise S, Castaldo V, De Mari M, Iliceto G, Tronci P, et al. Freezing gait in parkinson’s disease. Eur Neurol. 1997;38:297–301. | es_ES |
dc.description.references | Thenganatt MA, Jankovic J. Parkinson disease subtypes JAMA Neurol. 2014;71:499–504. | es_ES |
dc.description.references | Lin J-H, Hsu M-J, Hsu H-W, Wu H-C, Hsieh C-L. Psychometric comparisons of 3 functional ambulation measures for patients with stroke. Stroke. 2010;41:2021–5. | es_ES |
dc.description.references | McDonough AL, Batavia M, Chen FC, Kwon S, Ziai J. The validity and reliability of the GAITRite system’s measurements: A preliminary evaluation. Arch Phys Med Rehabil. 2001;82:419–25. | es_ES |
dc.description.references | Greenberg M, Gronley J, Perry J, Lawthwaite R. Concurrent validity of observational gait analysis using the vicon motion analysis system. Gait Posture. 1996;4:167–8. | es_ES |