Development of a Cable-Driven Robot with a Compensation Measurement System for Bimanual and Cognitive Rehabilitation of Stroke
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https://doi.org/10.5753/sbrlars_estendido.2024.243872
Resumen
Stroke remains the leading cause of disability, causing significant motor and cognitive deficits such as function and memory loss. Recovery is based on neuroplasticity; wherein undamaged brain areas assume the functions of damaged regions. Bimanual robotic devices stimulate hemispheric activation and enhances neuroplasticity and recovery. This thesis introduced a cable-driven robot and serious games for bimanual and cognitive rehabilitation. A system was developed to measure compensation and distinguish motor recovery from postural adjustments. Two stroke groups underwent bimanual or cognitive exercises with serious games, leading to significant improvements (p <0.05) in several parameters and clinical scales (Fugl-Meyer and Motor Activity Log).
Palabras clave:
stroke rehabilitation, cable-driven, bimanual robot, serious games, cognitive, compensation
Citas
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Aguilar-Lazcano, C. A., et al. (2019) “Interaction Modalities on Serious Games for Upper Limb Rehab: A Sist Rev”, Games for Health J., 8(5), pp. 313–325.
Alia, C., et al. (2017) “Neuroplastic Changes After Brain Ischemia: Novel Neurorehab Approaches”, Front Cell Neurosci., 11, March, pp. 1–22.
Alves, T., Gonçalves, R. S., Carbone, G., Ceccarelli, M. (2019) “Cable-Driven Robots for Rehab”, 25th ABCM Int. Congr. Mech. Eng., Uberlândia, MG, BRA.
Alves, T., et al. (2022) “Serious Games with Cable-Driven Robots for Rehab”, New Trends Med. Service Robot., Mech. Machine Sci., 106, Springer, pp. 3-11.
Blanding, D. L. (1992) Principles of Exact Constraint Mech. Design. Eastman Kodak.
Bonnechère, B. (2018) Serious Games in Phys Rehab - Theory to Practice. Springer. ISBN 978-3-319-66122-3.
Bressi, F., et al. (2023) “Home-Based Robotic Rehab for Upper Limb in Stroke: Pilot Study”, Front Neurorobotics, 17.
Cai, L., et al. (2019) “Upper Limb Func Assessment Using Kinect V2”, Appl. Bionics Biomech., 2019, 7175240.
Chen, S., et al. (2022) “Bilateral Arm Training After Stroke: Sist Rev and Meta-Analysis”, Front Aging Neurosci., 14, April.
Chien, S., et al. (2023) “Interactive Electronic Pegboard for Enhancing Manual Dexterity and Cognitive Abilities: Instrument Usability Study”, v. 11.
Fugl-Meyer, A. R., et al. (1975) “Post-Stroke Hemiplegic Patient: Eval of Phys Perf”, Scand J Rehab Med., 7, pp. 13-31.
Gamito, P., et al. (2017) “Cognitive Training on Stroke via VR-Based Serious Games”, Disability and Rehab., 39(4), pp. 385–388.
Hsieh, Y.W., et al. (2017) “Bilateral Robotic Priming Before Task-Oriented Approach in Subacute Stroke: Pilot RCT”, Clinical Rehab., 31(2), pp. 225–233.
Kühn, S., et al. (2011) “Neural Basis of Video Gaming”, Transl Psychiatry, 1, e53.
Luft, A. J., et al. (2004) “Repetitive Bilateral Arm Training and Motor”, Jama, 292(15), pp. 1853–1862.
Majumder, S., et al. (2021) “Wearable IMU-Based System for Lower-Limb Joints Monitoring”, 21(6), pp. 8267–8275.
Mathworks. (2022) “Orientation from IMU Readings. AHRS Filter System”, [link]. Accessed: 15/12/2022.
Mathworks. (2023) “Determine Orientation Using Inertial Sensors”, [link]. Accessed: 15/05/023.
Marchesi, G., et al. (2021) “Modified Func Reach Test: Kinematics and Muscular Activity in Chronic Stroke”, Sensors J., 29 Dec.
Morrow, M.M., et al. (2017) “Validation of IMUs for Upper Body Kinematics”, J Appl Biomech., 33, pp. 227–232.
Neil, H. P. (2023) “Stroke Rehab”, Crit Care Nurs Clinic of N. Amer, 35(1), pp. 95-99.
Pereira, N. D., et al. (2012) “Motor Activity Log-Brazil: Reliability in Chronic Stroke”, Neuropsychiatry Arch., 70(3). Accessed: 18/05/2023.
Pila, O., et al. (2023) “Performance-Based Robotic Training in Subacute Stroke: Responders vs Non-Responders”, Sensors, 23(9), p. 4304. Accessed: 30/06/2023.
Proença, J. P., Quaresma, C., Vieira, P. (2018) “Serious Games for Upper Limb Rehab: A Sist Rev”, Disabil Rehabil Assist Technol., 13(1), pp. 95–100. Informa UK Ltd.
Rocha, L. S. O., et al. (2021) “CIMT Increases Functionality and QoL After Stroke”, J Stroke Cerebrovasc Dis., 30(6), pp. 1–9.
Roetenberg, D., et al. (2005) “Compensation of Magnetic Disturbances in IMU Sensing”, IEEE Trans. Neural Syst Rehab Eng., 13(3), pp. 395–405.
Rohrer, B., et al. (2002) “Movement Smoothness Changes During Stroke Recovery”, J. Neurosci., 22(18), pp. 8297–8304.
Saes, M., et al. (2022) “Quantifying Reaching Movements Post-Stroke: Sist Rev”, Neurorehab and Neural Repair, 36(3), pp. 183–207.
Schwarz, A., et al. (2020) “Upper Limb Movement Impairments After Stroke Using Wearable Inertial Sensing”, pp. 1–22.
Shirley Ryan. (2023) “Stroke Rehab Measures Database”, [link]. Accessed: 14/08/2023.
Van Delden, A. E. Q., Peper, C. E., Kwakkel, G., Beek, P. J. (2012) “Bilateral Upper Limb Training Devices for Poststroke Rehab: A Sist Rev”, Stroke Res Treat., 2012.
WSO (World Stroke Org). (2023) Annual Report 2022. AIMS Energy, 11(1), pp.135-139.
Publicado
13/11/2024
Cómo citar
ALVES, Thiago; GONÇALVES, Rogério S..
Development of a Cable-Driven Robot with a Compensation Measurement System for Bimanual and Cognitive Rehabilitation of Stroke. In: ACTAS AMPLIADAS DEL SIMPOSIO BRASILEÑO DE ROBÓTICA Y SIMPOSIO LATINOAMERICANO DE ROBÓTICA (SBR/LARS), 16. , 2024, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
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p. 1-12.
DOI: https://doi.org/10.5753/sbrlars_estendido.2024.243872.
