¿Podría la robótica ser aliada en la rehabilitación osteomuscular del paciente?
Keywords:
Robotics, spasm, spastic, CVA, functional, muscular, rehabilitation.Abstract
Various spastic diseases of the musculoskeletal system, along with their associated rehabilitation
processes, have led medicine to explore different solutions to aid in the favorable management and
evolution of patients. Through this systematic literature review, we will address, from the perspectives
of physiatry and neurology, how robotics can change patient outcomes in the two most prevalent and
disabling conditions: cerebrovascular accident (CVA) and hand and wrist spasticity. While technology
will never replace medical judgment, it can become its greatest ally when properly implemented.
Some individuals may be left with irreparable functional limitations, but a robot or device
integrated into their bodies can complement or even replace the lost function, offering new hope
for practicing a more humanized medicine.
References
Robótica para la rehabilitación, Úrsula Costa Fisioterapeuta. Directora clínica en Hocoma. Silvia Díez Fisioterapeuta. Gerente de aplicaciones clínicas en Hocoma LATAM.2024.2.
Rehabilitation 20240: A Call for Action. WHO meeting report. Winstein CJ, Stein J, Arena R, Bates B, Cherney LR, Cramer SC, Deruyter F, Eng JJ, Fisher B, Harvey RL, Lang CE, MacKay-Lyons M, Ottenbacher KJ, Pugh S, Reeves MJ,
Cochrane Database Syst Rev. 2017 May; 2017(5): CD006185. Published online 2017 May 10. 8 Mehrholz J, et al. Electromechanical and robot assisted arm training for improving activities of daily living, arm function and arm muscle strength after stroke. Cochrane Dabases Syst Rev, 2018. 9
Robótica aplicada a terapias de rehabilitación. Estudio comparativo de dos técnicas de sensado para exoesqueletos asistidos usados en la recuperación de pacientes que han sufrido accidentes cerebrovasculares. Por: Robinson Bornacelli Durán Scientific & Education Medical Journal / Vol. 5 - N° 2 - 2025, 33-50Montealegre et al.
TESIS DE MAESTRÍA EN INGENIERÍA ELECTRÓNICA Tutor: Dr. Winston Percy Brooks B. Barranquilla, Atlántico, Colombia Noviembre 2021 Universidad del Norte Departamento de Ingenierías Eléctrica y Electrónica
DANE son las siglas de Departamento Administrativo Nacional de Estadística http://www.dane.gov.co.
Rocca, A., et al. 2016. Sympathetic activity and early mobilization in patients in intensive and intermediate care with severe brain injury: a preliminary prospective randomized study. BMC Neurology 16(1);169.
Frazzitta, G., Zivi, I., Valsecchi, R., Bonini, S., Maffia, S., Molatore, K., et al. 2016. Effectiveness of a Very Early Stepping Verticalization Protocol in Severe Acquired Brain Injured Patients: A Randomized Pilot Study in ICU. PLoS ONE 11.
Spiess M, et al. (2018) Getting the Best Out of Advanced Rehabilitation Technology for the Lower Limbs: Minding Motor Learning Principles. PM&R. Volumen 10, 9 S2
Van den Brand R., et al. 2021. Neuroprosthetic technologies augment the impact of neurorehabilitation after spinal cord injury. Annals of Physical and Rehabilitation Medicine. Volumen 58,4.
Targeted neurotechnology restores walking in humans with spinal cord injury FB Wagner, JB Mignardot, CG Le Goff-Mignardot... - Nature, 2022
M.-H. Milot, S. Spencer, V. Chan, J. Allington, J. Klein, C. Chou, J. Bobrow, S. Crames y D. Reinkensmeyer, «A crossover pilot study evaluating the functional outcomes of two different types of robotic movement training in chronic stroke survivors using the arm exoskeleton BONES,» Journal of NeuroEngineering and Rehabilitation, vol. 10, nº 112, pp. 1-12, 2013.
I. Diaz, J. J. Gil y E. Sanchez, Lower-Limb Robotic Rehabilitation: Literature Review and Challenges, Hindawi Publishing Corporation Journal of Robotics;2020.
F. Reyes, Robótica - control de robots manipuladores, Puebla: Alfaomega Grupo Editor, 2020.13.
P. L. Encoder, «Linear inductive encoder,» POSIC, 2021. [En línea]. Available: https://www.posic.com/EN/linear-encoder-id1102l.html.
Learn Channel, Cómo funciona un Resolver - Animación técnica, NM: Youtube, 2021.
NIDEC, «RoboteQ,» NIDEC, 2021. [En línea]. Available: https://www.roboteq.com/applications/all-blogs/14-how-resolvers-work.
A. Tameem y D. Stashuk, «Clinical Quantitative Electromyography,» de Electrodiagnosis in New Frontiers of Clinical Research, Waterloo, Canada, Intech Open, 2013, pp. 89-112.18.
J.Hill,ExercisePhysiologyStudent,Spring;2010.
V. De la Vergara, «El método de Rood,» CAMDE, 12 2019. [En línea].
I. D. Guia Rosa, M. A. Cavalcanti García Y M. Nogueira De Souza, «Investigation of probability density functions in modeling sample distribution of surface electromyographic (sEMG) signals,» Archives of Control Sciences, vol. 23, nº 4, pp. 381- 393, 2013.
R. H. Chowdhury, M. B. I. Reaz, M. Alauddin Bin Mohd Ali, A. A. Bakar, K. Chellappan y T. G. Chang, «Surface Electromyography Signal Processing and Classification Techniques,» Sensors, vol. 13, pp. 12431-12466, 2013.
M. F. Pérez Esparza, A. M. Maldonado Ramírez y M. M. Navarro Duron, «Método Brunnstrom,» Fisioterapia 2016, Aguascalientes, 2016.
E. Shwedyk, R. Balasubramanian y R. Scott, A Nonstationary Model for the Electromyogram, IEEE Transactions on Biomedical Engineering, Vols. 1 de 2BME-24, Nº 5, pp. 417-424, 1977. J. Hill, Exercise Physiology Student, Spri
I. April, M. Germanotta, A. Gruciani, S. Loreti y C. Pecchioli, Upper Limb Robotic Rehabilitation After Stroke: A Multicenter, Randomized Clinical Trial, Journal of Neurologic Physical Therap, pp. 3-14, 2020.
J. Daly, N. Hogan, E. Perepezco, H. Krebs, J. Rogers, K. Goyal, M. Dohring, E. Fredickson, J. Nethery y R. Ruff, Response to upper-limb robotics and functional neuromuscular stimulation following stroke, Journal of Rehabilitation Research & Development, vol. 42, nº 6, pp. 723-736, 2005.
Y. Ganesan, S. Gobee y V. Durairajah, Development of an Upper Limb Exoskeleton for Rehabilitation with Feedback from EMG and IMU Sensor, Elsevier, vol. 1, nº 76, pp. 53- 59, 2015.Rev Col Med Fis Rehab 2020;30(2):103-115 - http://revistacmfr.org http://dx.doi.org/10.28957/rcmfr.v30n2
Soriano Mas C, Guillazo Blanch G, Redolar Ripoll DA, Torras García M, Vale Martínez A. Fundamentos de neurociencia. 1a. ed. Barcelona (España): Editorial UOC; 2007 [citado 2020 diciembre 12].
Segal M. Muscle Overactivity in the Upper Motor Neuron Syndrome. Phys. Med Rehabil. Clin N Am. [Internet]. 2018 [citado 2020 diciembre 15];29(3):427-436.
Navarro X, Udina E. Neurofisiología de la espasticidad. En: Juan-García FJ (coord.). Evaluación clínica y tratamiento de la espasticidad. Buenos Aires: Editorial Médica Panamericana;2009[citado2020diciembre18]1.
Duchateau J, Enoka RM. Human motor unit recordings: Origins and insight into the integrated motor system. Brain Res [Internet]. 2011 [citado 2020 noviembre 27];1409:42-61.
Trompetto C, Marinelli L, Mori L, Pelosin E, Currà A, Molfetta L, et al. Pathophysiology of spasticity: implications for neurorehabilitation. BioMed Res Int. 2014;2014:354906.
Sepúlveda P, Bacco JL, Cubillos A, Doussoulin A. Espasticidad como signo positivo de daño de motoneurona superior y su importancia en rehabilitación. CES Med [Internet]. 2018 [citado 2020 diciembre 35];32(3):259-260.
Sáinz-Pelayo MP, Albu S, Murillo N, Benito-Penalva J. Espasticidad en la patología neurológica. Actualización sobre mecanismos fisiopatológicos, avances en el diagnóstico y tratamiento. Rev Neurol [Internet]. 2020 [citado 2020 diciembre ;70(12):453-460.
Ferrer Pastor M, Iñigo Huarte V, Juste Díaz J, Goiri Noguera D, Sogues Colom A, Cerezo Durá M. Revisión sistemática del tratamiento de la espasticidad en el adulto con daño cerebral adquirido. Rehabilitación. [Internet]. 2020 [citado 2020 Diciembre 37];54(1):51-62.
Khan F, Amatya B, Bensmaild D, Yelnike A. Non-pharmacological interventions for spasticity in adults: An overview of systematic reviews. Ann Phys Rehabil Med [Internet]. 2019 [citado 2020 diciembre 14];62(4):265-273. Disponible en: https://doi.org/10.1016/j.rehab.2017.10.001.
Chang E, Ghosh N, Yanni D, Lee S, Alexandru D, Mozaffar T. A Review of Spasticity Treatments: Pharmacological and Interventional Approaches. Crit. Rev Phys Rehabil Med [Internet].2013[citado 2020 diciembre;25(1-2):11.
Huan Y, Nam C, Li W, Rong W, Xie Y, Liu Y, et al. A comparison of the rehabilitation effectiveness of neuromuscular electrical stimulation robotic hand training and pure robotic hand training after stroke: A randomized controlled trial, Biomed Signal Process Control. [Internet]. 2020 [citado 2020 diciembre 17];56:101723.
De-la-Torre R, Oña ED, Balaguer C, Jardón A. Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review. Sensor [Internet]. 2020 [citado 2020 diciembre 17];20(1):5251.
Godfrey SB, Holley RJ, Lum PS. Clinical effects of using HEXORR (Hand Exoskeleton Rehabilitation Robot) for movement therapy in stroke rehabilitation. Am J Phy Med Rehabil [Internet]. 2013 [citado 2020 DiciembreScientific & Education Medical Journal / Vol. 5 - N° 2 - 2025, 33-50Montealegre et al.
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