Mostrar el registro sencillo del ítem

Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor

dc.contributor.authorRodriguez Cheu, Luis Eduardo
dc.contributor.authorCaicedo Rodirguez, Pablo Eduardo
dc.contributor.authorRengifo Rodas, Carlos Felipe
dc.date.accessioned2021-06-15T17:22:06Z
dc.date.accessioned2021-10-01T17:16:53Z
dc.date.available2021-06-15T17:22:06Z
dc.date.available2021-10-01T17:16:53Z
dc.date.issued2016
dc.identifier.issn0188-9532
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/1575
dc.description.abstractEn este escrito se presenta un estado del arte sobre las contribuciones de las ciencias de la electrónica al problema de las caídas en población adulta mayor. La bibliografía estudiada se clasificó con base en una taxonomía propuesta por los autores consistente de 8 ejes temáticos que son: etiología, epidemiología, predicción, consecuencias, prevención, medición, detección de caídas y detección de actividades diarias. De la revisión bibliográfica realizada se concluyó que las contribuciones más importantes de las ciencias de la electrónica surgen tanto del desarrollo de dispositivos de captura de movimiento como de los diferentes algoritmos propuestos para procesar la información proveniente de estos dispositivos. Gracias a la combinación de estos dos aspectos (dispositivos y algoritmos) se han podido medir de manera precisa variables como velocidad de marcha, longitud y duración del paso, posición del centro de gravedad y balanceo postural. La medición de estas variables, a su vez, ha introducido avances significativos en la forma en que se realiza la valoración del riesgo de caída. Pese a lo anterior, existen numerosos interrogantes que aun deben ser resueltos, uno de ellos es: ¿cómo convertir la información cuantitativa asociada a la medición de variables biomecánicas en valoraciones cualitativas?. De lo anterior se derivan interrogantes más puntuales como: ¿cuáles son los límites aceptables para la asimetría de marcha? ¿Cómo determinar si un nivel de balanceo postural puede considerarse inseguro?spa
dc.description.abstractEste artículo tiene como objetivo presentar un estado del arte sobre las contribuciones de las ciencias electrónicas al problema de las caídas en la población anciana. La literatura estudiada se clasificó a partir de una taxonomía propuesta por los autores, que consta de 8 áreas temáticas que son: etiología, epidemiología, predicción, consecuencias, prevención, medición, detección de caídas y detección de actividades diarias. De la revisión de la literatura se concluyó que los aportes más importantes de las ciencias electrónicas surgen tanto del desarrollo de los dispositivos de captura de movimiento como de los diferentes algoritmos propuestos para procesar la información resultante generada por estos dispositivos. Gracias a la combinación de estos dos aspectos (algoritmos y dispositivos) fue posible medir con precisión variables como la velocidad de la marcha, la longitud y la duración del paso, posición del centro de gravedad y equilibrio postural. La medición de estas variables, a su vez, ha introducido importantes avances en la forma en que se evalúa el riesgo de caída. A pesar de lo anterior, quedan muchas preguntas por resolver, una de ellas es: ¿Cómo convertir la información cuantitativa asociada a la medición de variables biomecánicas en valoraciones cualitativas? De lo anterior surgen preguntas más específicas como: ¿cuáles son los límites aceptables para la asimetría del escalón? ¿Cómo determinar cuándo un nivel de equilibrio postural puede considerarse inseguro? uno de ellos es: ¿Cómo convertir la información cuantitativa asociada con la medición de variables biomecánicas en valoraciones cualitativas? De lo anterior surgen preguntas más específicas como: ¿cuáles son los límites aceptables para la asimetría del escalón? ¿Cómo determinar cuándo un nivel de equilibrio postural puede considerarse inseguro? uno de ellos es: ¿Cómo convertir la información cuantitativa asociada con la medición de variables biomecánicas en valoraciones cualitativas? De lo anterior surgen preguntas más específicas como: ¿cuáles son los límites aceptables para la asimetría del escalón? ¿Cómo determinar cuándo un nivel de equilibrio postural puede considerarse inseguro?spa
dc.format.extent19 pàginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherSociedad Mexicana de Ingeniería Biomédicaspa
dc.sourcehttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-95322016000300251spa
dc.titleContribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayorspa
dc.title.alternativeContributions of electronic sciences to the problem of falls of old age populationspa
dc.typeArtículo de revistaspa
dc.description.notesP.E. Caicedo1 , C.F. Rengifo2 , L.E. Rodríguez3 . 1Corporación Universitaria Autónoma del Cauca 2Departamento de Electrónica, Universidad del Cauca 3Escuela Colombiana de Ingeniería Julio Garavitospa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupGiBiomespa
dc.identifier.doi10.17488/rmib.37.3.6
dc.identifier.urlhttp://dx.doi.org/10.17488/rmib.37.3.6
dc.publisher.placeColombiaspa
dc.relation.citationeditionRev. mex. ing. bioméd vol.37 no.3 México sep./dic. 2016spa
dc.relation.citationendpage269spa
dc.relation.citationissue3spa
dc.relation.citationstartpage251spa
dc.relation.citationvolume37spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalRevista Mexicana de Ingenieria Biomedicaspa
dc.relation.referencesP. Rashidi and A. Mihailidis, “A survey on ambient-assisted living tools for older adults,” IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 3, pp. 579–590, 2013.spa
dc.relation.referencesWho, “WHO Global Report on Falls Prevention in Older Age.” Community Health, p. 53, 2007.spa
dc.relation.referencesF. Hua, S. Yoshida, G. Junling, and P. Hui, “Falls Prevention in Older Age in Western Pacific Asia Region,” WHO, Tech. Rep., 2006.spa
dc.relation.referencesA. Sebastiana, Z. Kalula, M. Uk, and M. Mphil, “A WHO Global Report on Falls among Older Persons Prevention of falls in older persons : Africa case study,” WHO, Tech. Rep., 2006.spa
dc.relation.referencesB. Krishnaswamy and G. Usha, “Falls in older people: national/regional review India,” Chennai: Madras Medical College and Government, pp. 1–19, 2006.spa
dc.relation.referencesT. C. Skelton, “What are the main risk factors for falls amongst older people and what are the most effective interventions to prevent these falls?” WHO Regional Office for Europe (Health Evidence Network), Tech. Rep., 2004.spa
dc.relation.referencesS. Lord, C. Sherrington, H. Menz, and J. Close, Falls in older people. New York: Cambridge University Press, 2007.spa
dc.relation.referencesR. a. Kenny, R. Romero-Ortuno, and L. Cogan, “Falls,” Medicine, vol. 41, no. 1, pp. 24–28, 2013spa
dc.relation.referencesK. Delbaere, C. Sherrington, and S. R. Lord, “Falls prevention interventions,” in Osteoporosis. Elsevier Inc, 2013, ch. 70, pp. 1649–1666.spa
dc.relation.references] D. Hamacher, N. B. Singh, J. H. Van Dieen, M. O. Heller, and W. R. Taylor, “Kinematic measures for assessing gait stability in elderly individuals: a systematic review,” Journal of The Royal Society Interface, vol. 8, no. August, pp. 1682–1698, 2011.spa
dc.relation.referencesJ. Howcroft, J. Kofman, and E. D. Lemaire, “Review of fall risk assessment in geriatric populations using inertialsensors,” Journal of Neuroengineering and Rehabilitation, vol. 10, no. 1, p. 91, 2013.spa
dc.relation.referencesU. Laessoe, H. C. Hoeck, O. Simonsen, T. Sinkjaer, and M. Voigt, “Fall risk in an active elderly population–can it be assessed?” Journal of negative results in biomedicine, vol. 6, p. 2, 2007.spa
dc.relation.referencesS. T. D. Almeida, C. L. C. Soldera, G. A. D. Carli, I. Gomes, and T. D. L. Resende, “Analysis of extrinsic and intrinsic factors that predispose elderly individuals to fall.” Revista da Associação Médica Brasileira (1992), vol. 58, no. 4, pp. 427–33, 2012.spa
dc.relation.referencesP. Pasquetti, L. Apicella, and G. Mangone, “Pathogenesis and treatment of falls in elderly,” Clinical Cases in Mineral and Bone Metabolism, vol. 03, no. 11, pp. 222–225, 2014.spa
dc.relation.referencesM. Yamada, S. Nishiguchi, N. Fukutani, T. Tanigawa, T. Yukutake, H. Kayama, T. Aoyama, and H. Arai, “Prevalence of sarcopenia in community-dwelling Japanese older adults,” Journal of the American Medical Directors Association, vol. 14, no. 12, pp. 911–915, 2013.spa
dc.relation.referencesA. Soto-Varela, A. Faraldo-García, M. Rossi-Izquierdo, A. Lirola-Delgado, I. Vaamonde-Sánchez-Andrade, M. DelRío-Valeiras, P. Gayoso-Diz, and S. Santos-Pérez, “Can we predict the risk of falls in elderly patients with instability?” Auris Nasus Larynx, vol. 42, pp. 8–14, 2015.spa
dc.relation.referencesB. Salzman, “Gait and balance disorders in older adults,” American Family Physician, vol. 82, no. 1, pp. 61–68, 2011.spa
dc.relation.referencesS. Iwasaki and T. Yamasoba, “Dizziness and Imbalance in the Elderly: Agerelated Decline in the Vestibular System,” Aging and Disease, vol. 6, no. 1, p. 38, 2015.spa
dc.relation.referencesC. Feldstein and A. B. Weder, “Orthostatic hypotension: A common, serious and underrecognized problem in hospitalized patients,” Journal of the American Society of Hypertension, vol. 6, no. 1, pp. 27–39, 2012.spa
dc.relation.referencesH. W. Lach and J. L. Parsons, “Impact of fear of falling in long term care: An integrative review,” Journal of the American Medical Directors Association, vol. 14, no. 8, pp. 573–577, 2013.spa
dc.relation.referencesK. Robinson, A. Dennison, D. Roalf, J. Noorigian, H. Cianci, L. BuntingPerry, P. Moberg, G. KleinerFisman, R. Martine, J. Duda, J. Jaggi, and M. Stern, “Falling risk factors in Parkinson’s disease.” NeuroRehabilitation, vol. 20, pp. 169– 182, 2005.spa
dc.relation.referencesa. Bueno-Cavanillas, F. Padilla-Ruiz, J. J. Jiménez-Moleón, C. a. PeinadoAlonso, and R. Gálvez-Vargas, “Risk factors in falls among the elderly according to extrinsic and intrinsic precipitating causes,” European Journal of Epidemiology, vol. 16, no. 9, pp. 849– 859, 2000.spa
dc.relation.referencesP. A. Bath and K. Morgan, “Differential risk factor profiles for indoor and outdoor falls in older people living at home in Nottighan (UK),” European Journal of Epidmiology, vol. 15, no. 1, pp. 65–73, 1999.spa
dc.relation.referencesM. Cesari, F. Landi, S. Torre, G. Onder, F. Lattanzio, and R. Bernabei, “Prevalence and risk factors for falls in an older communitydwelling population.” The journals of gerontology. Series A, Biological sciences and medical sciences, vol. 57, no. 11, pp. M722–M726, 2002.spa
dc.relation.referencesP. P. Marin, “Latin-American regional review on Falls in older people,” WHO, Santiago de Chile, Tech. Rep., 2005.spa
dc.relation.referencesL. Z. Rubenstein, “Falls in older people: Epidemiology, risk factors and strategies for prevention,” Age and Ageing, vol. 35, pp. 37–41, 2006.spa
dc.relation.referencesK. James, J. Gouldbourne, C. Morris, and D. Eldemire-Shearer, “Falls and Fall Prevention in the Elderly : Insights from Jamaica Department of Community Health and Psychiatry Mona Ageing and Wellness Centre University of the West Indies Mona , Jamaica,” WHO, Tech. Rep., 2006.spa
dc.relation.referencesR. Gelbard, K. Inaba, O. T. Okoye, M. Morrell, Z. Saadi, L. Lam, P. Talving, and D. Demetriades, “Falls in the elderly: A modern look at an old problem,” American Journal of Surgery, vol. 208, no. 2, pp. 249–253, 2014.spa
dc.relation.referencesE. Tuunainen, J. Rasku, P. Jäntti, and I. Pyykkö, “Risk factors of falls in community dwelling active elderly,” Auris Nasus Larynx, vol. 41, pp. 10–16, 2014.spa
dc.relation.referencesJ. Visschedijk, R. van Balen, C. Hertogh, and W. Achterberg, “Fear of Falling in Patients With Hip Fractures: Prevalence and Related Psychological Factors,” Journal of the American Medical Directors Association, vol. 14, no. 3, pp. 218–220, 2013.spa
dc.relation.referencesP. E. Roos and J. B. Dingwell, “Using dynamic walking models to identify factors that contribute to increased risk of falling in older adults,” Human Movement Science, vol. 32, no. 5, pp. 984–996, 2013.spa
dc.relation.referencesE. d. C. Quevedo-Tejero, M. A. Zavala-González, A. d. C. HernándezGamas, and H. M. Hernández-Ortega, “Fractura de cadera en adultos mayores: Prevalencia y costos en dos hospitales. Tabasco, M??xico, 2009,” Revista Peruana de Medicina Experimentaly Salud Publica, vol. 28, no. 3, pp. 440–445, 2011.spa
dc.relation.referencesS. M. Hernández Arenas, E. González Segura, G. S. Gozález Aguilar, J. M. Gasca Argueta, H. García Hidalgo, O. C. García Sánchez, R. Vega Diaz, and E. B. Monroy Amaya, “Prevención de Caídas en el Adulto Mayor en el Primer Nivel de Atención,” Gobierno Federal de México. Secretaría de salud, Tech. Rep., 2008.spa
dc.relation.referencesM. Saleh and G. Murdoch, “In defence of gait analysis. Observation and measurement in gait assessment,” The Bone & Joint Journal, vol. 67, no. 2, pp. 237–41, 1985.spa
dc.relation.referencesM. K. Holden, K. M. Gill, and M. R. Magliozzi, “Gait assessment for neurologically impaired patients. Standards for outcome assessment.” Physical therapy, vol. 66, pp. 1530–1539, 1986.spa
dc.relation.referencesJ. S. Dufek, E. S. Neumann, M. C. Hawkins, and B. O’Toole, “Functional and dynamic response characteristics of a custom composite ankle foot orthosis for Charcot-Marie-Tooth patients,” Gait and Posture, vol. 39, no. 1, pp. 308–313, 2014.spa
dc.relation.referencesV. L. Gray, T. D. Ivanova, and S. J. Garland, “Reliability of center of pressure measures within and between sessions in individuals post-stroke and healthy controls,” Gait and Posture, vol. 40, no. 1, pp. 198–203, 2014.spa
dc.relation.referencesS. Yabukami, H. Kikuchi, M. Yamaguchi, K. I. Arai, K. Takahashi, A. Itagaki, and N. Wako, “Motion capture system of magnetic markers using three-axial magnetic field sensor,” IEEE Transactions on Magnetics, vol. 36, no. 5 I, pp. 3646–3648, 2000spa
dc.relation.referencesK. S. van Schooten, S. M. Rispens, P. J. M. Elders, P. Lips, M. Pijnappels, and J. H. van Dieën, “Ambulatory fall risk assessment: Quality and quantity of daily-life activities predict falls in older adults,” Predicting falls: Amount and quality of daily-life gait as risk factors, pp. 71–83, 2014.spa
dc.relation.referencesP. Y. M. Chung and G. Y. F. Ng, “Comparison between an accelerometer and a three-dimensional motion analysis system for the detection of movement,” Physiotherapy (United Kingdom), vol. 98, no. 3, pp. 256–259, 2012.spa
dc.relation.referencesB. Mariani, C. Hoskovec, S. Rochat, C. Büla, J. Penders, and K. Aminian, “3D gait assessment in young and elderly subjects using foot-worn inertial sensors,” Journal of Biomechanics, vol. 43, no. 15, pp. 2999–3006, 2010.spa
dc.relation.referencesD. A. Bravo Montenegro, C. F. Rengifo Rodas, and W. Agredo R, “Comparación de dos Sistemas de Captura de Movimiento por medio de las Trayectorias Articulares de marcha,” Revista Mexicana de Ingeniería Biomédica, vol. 37, no. 2, 2016.spa
dc.relation.referencesP. B. Shull, W. Jirattigalachote, M. a. Hunt, M. R. Cutkosky, and S. L. Delp, “Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention,” Gait and Posture, vol. 40, no. 1, pp. 11–19, 2014.spa
dc.relation.referencesB. R. Greene, D. McGrath, R. O'Neill, K. J. O'Donovan, A. Burns, and B. Caulfield, “An adaptive gyroscopebased algorithm for temporal gait analysis,” Medical and Biological Engineering and Computing, vol. 48, no. 12, pp. 1251–1260, 2010.spa
dc.relation.referencesB. R. Greene, A. Odonovan, R. RomeroOrtuno, L. Cogan, C. N. Scanaill, and R. a. Kenny, “Quantitative falls risk assessment using the timed up and go test,” IEEE Transactions on Biomedical Engineering, vol. 57, no. 12, pp. 2918– 2926, 2010.spa
dc.relation.referencesA. K. Bourke, P. V. D. Ven, M. Gamble, R. O. Connor, K. Murphy, E. Mcquade, P. Finucane, G. Ólaighin, and J. Nelson, “Assessment of Waist-worn Tri-axial Accelerometer Based Falldetection Algorithms using Continuous Unsupervised Activities,” in 32nd Annual International Conference of the IEEE EMBS. Buenos Aires: IEE, 2010, pp. 2782–2785.spa
dc.relation.referencesF. Bagalà, C. Becker, A. Cappello, L. Chiari, K. Aminian, J. M. Hausdorff, W. Zijlstra, and J. Klenk, “Evaluation of accelerometer-based fall detection algorithms on real-world falls,” PLoS ONE, vol. 7, no. 5, pp. 1–9, 2012.spa
dc.relation.referencesS. Khawandi, B. Daya, and P. Chauvet, “Implementation of a monitoring system for fall detection in elderly healthcare,” in Procedia Computer Science, vol. 3. Elsevier, 2011, pp. 216–220.spa
dc.relation.referencesZ. Zhao, Y. Chen, S. Wang, and Z. Chen, “FallAlarm: Smart phone based fall detecting and positioning system,” in Procedia Computer Science, vol. 10, 2012, pp. 617–624spa
dc.relation.referencesN. Pannurat, S. Thiemjarus, and E. Nantajeewarawat, “Automatic fall monitoring: A review,” Sensors (Switzerland), vol. 14, no. 7, pp. 12 900–12 936, 2014.spa
dc.relation.referencesM. Kangas, A. Konttila, P. Lindgren, I. Winblad, and T. Jämsä, “Comparison of low-complexity fall detection algorithms for body attached accelerometers,” Gait and Posture, vol. 28, no. 2, pp. 285–291, 2008spa
dc.relation.referencesH. Gjoreski, M. Luštrek, and M. Gams, “Accelerometer placement for posture recognition and fall detection,” inProceedings - 2011 7th International Conference on Intelligent Environments, IE 2011, 2011, pp. 47–54.spa
dc.relation.referencesa. K. Bourke, J. V. O’Brien, and G. M. Lyons, “Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm,” Gait and Posture, vol. 26, no. 2, pp. 194–199, 2007spa
dc.relation.referencesA. K. Bourke, P. W. J. van de Ven, A. E. Chaya, G. M. OLaighin, and J. Nelson, “Testing of a long-term fall detection system incorporated into a custom vest for the elderly.” in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2008, 2008, pp. 2844–2847.spa
dc.relation.referencesa. K. Bourke, P. van de Ven, M. Gamble, R. O’Connor, K. Murphy, E. Bogan, E. McQuade, P. Finucane, G. ÓLaighin, and J. Nelson, “Evaluation of waistmounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities,” Journal of Biomechanics, vol. 43, no. 15, pp. 3051–3057, 2010.spa
dc.relation.referencesJ. Chen, K. Kwong, D. Chang, J. Luk, and R. Bajcsy, “Wearable sensors for reliable fall detection.” in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 4, 2005, pp. 3551–3554.spa
dc.relation.referencesJ. Cheng, X. Chen, and M. Shen, “A framework for daily activity monitoring and fall detection based on surface electromyography and accelerometer signals,” IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 1, pp. 38–45, 2013.spa
dc.relation.referencesS. Chernbumroong, S. Cang, A. Atkins, and H. Yu, “Elderly activities recognition and classification for applications in assisted living,” Expert Systems with Applications, vol. 40, no. 5, pp. 1662–1674, 2013.spa
dc.relation.referencesC. Ballinger and S. Payne, “The construction of the risk of falling among and by older people,” Ageing and society, vol. 22, no. 3, pp. 305–324, 2002.spa
dc.relation.referencesM. J. Faber, R. J. Bosscher, and P. C. W. van Wieringen, “Clinimetric properties of the performance-oriented mobility assessment.” Physical therapy, vol. 86, no. 7, pp. 944–954, 2006.spa
dc.relation.referencesK. L. Perell, A. Nelson, R. L. Goldman, S. L. Luther, N. Prieto-Lewis, and L. Z. Rubenstein, “Fall risk assessment measures: an analytic review.” The journals of gerontology. Series A, Biological sciences and medical sciences, vol. 56, no. 12, pp. M761–M766, 2001.spa
dc.relation.referencesX. Cui, C.-K. Peng, M. D. Costa, A. Weiss, A. L. Goldberger, and J. M. Hausdorff, “Development of a new approach to quantifying stepping stability using ensemble empirical mode decomposition.” Gait & Posture, vol. 39, no. 1, pp. 495–500, 2014.spa
dc.relation.referencesP. Sánchez-Muñoz and J. a. López-Pina, “Revisión sistemática de las propiedades psicométricas de las escalas de valoración de la enfermedad de Parkinson: riesgo de caídas, congelaciones y otras alteraciones en la marcha y el control postural,” Fisioterapia, no. xx, 2014.spa
dc.relation.referencesM. E. Tinetti, “Performance-oriented assessment of mobility problems in elderly patients,” Journal of American Geriatrics, vol. 34, pp. 119–26, 1986.spa
dc.relation.referencesK. O. Berg, B. E. Maki, J. I. Williams, P. J. Holliday, and S. L. WoodDauphinee, “Clinical and laboratory measures of postural balance in an elderly population.” Archives of physical nursing home residents with dementia?” 2009.spa
dc.relation.referencesS. M. Rispens, K. S. van Schooten, M. Pijnappels, A. Daffertshofer, P. J. Beek, and J. H. van Dieën, “Identification of Fall Risk Predictors in Daily Life Measurements: Gait Characteristics’ Reliability and Association With Self-reported Fall History.” Neurorehabilitation and neural repair, pp. 1 545 968 314 532 031–, 2014spa
dc.relation.referencesD. McGrath, B. R. Greene, E. P. Doheny, D. J. McKeown, G. De Vito, and B. Caulfield, “Reliability of quantitative TUG measures of mobility for use in falls risk assessment,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, pp. 466– 469.spa
dc.relation.referencesR. C. Van Lummel, E. Ainsworth, U. Lindemann, W. Zijlstra, L. Chiari, P. Van Campen, and J. M. Hausdorff, “Automated approach for quantifying the repeated sit-to-stand using one body fixed sensor in young and older adults,” Gait and Posture, vol. 38, no. 1, pp. 153– 156, 2013.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.subject.armarcTaxonomía
dc.subject.armarcCiencias de la electrónica
dc.subject.armarcCaídas (Accidentes) en la vejezspa
dc.subject.armarcFalls (Accidents) in old ageeng
dc.subject.proposalTaxonomía Caídasspa
dc.subject.proposalRiesgo de caídaspa
dc.subject.proposalCiencias de la electrónicaspa
dc.subject.proposalEvaluación cuantitativaspa
dc.subject.proposalTaxonomy Fallseng
dc.subject.proposalFall riskeng
dc.subject.proposalElectronic scienceseng
dc.subject.proposalQuantitative evaluationeng
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


Ficheros en el ítem

Thumbnail
Nombre:
Contribuciones de las Ciencias ...
Tamaño:
4.255Mb
Formato:
PDF
Ver/

Este ítem aparece en la(s) siguiente(s) colección(ones)

  • AA. Gibiome [38]
    Clasificación: A - Convocatoria 2018

Mostrar el registro sencillo del ítem