Abstract
The proposed work was developed as part of the SmartHealth project, which aims to advance upper body rehabilitation by granting a robotic alternative to reduce the limitations of physical therapy while conferring more intensive and personalized therapy sessions for patients. The use of robots permits therapists to be relieved of laborious and repetitive tasks while supplying feedback for patients and physiotherapists through automatic recordings. The proposed strategy is to develop new python-based software that controls the robot, collects the patient’s forces and muscle activity in real-time, and stores them for future analysis while providing visual feedback, thus allowing session optimization. These features permit the physiotherapist to objectively perceive the patient’s performance during exercise. This solution is implemented in robots already commercialized in the industrial field. These kinds of robots are generally mass-produced in production lines at a relatively low cost and with great flexibility.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bauer, G., Pan, Y.J.: Review of control methods for upper limb telerehabilitation with robotic exoskeletons. IEEE Access 8, 203382–203397 (2020)
Siciliano, B., Khatib, O.: Robotics and the handbook. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1–10. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32552-1_1
Pons, J.L.: Wearable Robots: Biomechatronic Exoskeletons. Wiley, Hoboken (2008)
Cieza, A., Causey, K., Kamenov, K., et al.: Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396(10267), 2006–2017 (2020)
Lin, V., Zhang, X., Dixon, P.: Occupational therapy workforce in the United States: forecasting nationwide shortages. PM&R 7(9), 946–954 (2015)
Akbari, A., Haghverd, F., Behbahani, S.: Robotic home-based rehabilitation systems design: from a literature review to a conceptual framework for community-based remote therapy during COVID-19 pandemic. Front. Robot. AI 8 (2021)
Krebs, H.I., et al.: Robot-aided neurorehabilitation: a robot for wrist rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15(3), 327–335 (2007)
Burgar, C.G., Lum, P.S., Shor, P.C., Van der Loos, H.M.: Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. J. Rehabil. Res. Dev. 37(6), 663–674 (2000)
Reinkensmeyer, D.J., Kahn, L.E., Averbuch, M., McKenna-Cole, A., Schmit, B.D., Rymer, W.Z.: Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide. J. Rehabil. Res. Dev. 37(6), 653–662 (2014)
Bützer, T., Lambercy, O., Arata, J., Gassert, R.: Fully wearable actuated soft exoskeleton for grasping assistance in everyday activities. Soft Rob. 8(2), 128–143 (2021)
Ma, Z., Ben-Tzvi, P., Danoff, J.: Hand rehabilitation learning system with an exoskeleton robotic glove. IEEE Trans. Neural Syst. Rehabil. Eng. 24(12), 1323–1332 (2015)
Chen, G., et al.: Adaptive control strategy for gait rehabilitation robot to assist-when-needed. In: 2018 IEEE International Conference on Real-Time Computing and Robotics (RCAR), pp. 538–543. IEEE (2018)
Molaei, A., Foomany, N.A., Parsapour, M., Dargahi, J.: A portable low-cost 3D-printed wrist rehabilitation robot: design and development. Mech. Mach. Theory 171, 104719 (2022)
Chellal, A.A., Lima, J., Fernandes, F.P., Gonçalves, J., Pacheco, M.F., Monteiro, F.C.: Overview of robotic based system for rehabilitation and healthcare. In: Pereira, A.I., et al. (eds.) OL2A 2021. CCIS, vol. 1488, pp. 515–530. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91885-9_38
Saglia, J.A., et al.: Design and development of a novel core, balance and lower limb rehabilitation robot: hunova. In: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), pp. 417–422. IEEE (2019)
Warken, B., et al.: Practical recommendations for robot-assisted treadmill therapy (Lokomat) in children with cerebral palsy: indications, goal setting, and clinical implementation within the WHO-ICF framework. Neuropediatrics 46(4), 248–260 (2015)
Domingo, A., Lam, T.: Reliability and validity of using the Lokomat to assess lower limb joint position sense in people with incomplete spinal cord injury. J. Neuroeng. Rehabil. 11(1), 1–10 (2014)
Bouteraa, Y., Abdallah, I.B., ElMogy, A., Ibrahim, A., Tariq, U., Ahmad, T.: A fuzzy logic architecture for rehabilitation robotic systems. Int. J. Comput. Commun. Control 15(4) (2020)
Zhang, F., Wang, X., Yang, Y., Fu, Y., Wang, S.: A human-machine interface software based on android system for hand rehabilitation robot. In: 2015 IEEE International Conference on Information and Automation, pp. 625–630. IEEE (2015)
Kawasaki, H., et al.: Development of a hand motion assist robot for rehabilitation therapy by patient self-motion control. In: 2007 IEEE 10th International Conference on Rehabilitation Robotics, pp. 234–240. IEEE (2007)
Adamovich, S.V., et al.: A virtual reality-based exercise system for hand rehabilitation post-stroke. Presence Teleoperators Virtual Environ. 14(2), 161–174 (2005)
Modbus-IDA: Modbus application protocol specification. Modbus-IDA (2006)
Acknowledgements
This work has been supported by SmartHealth - Inteligência Artificial para Cuidados de Saúde Personalizados ao Longo da Vida, under the project number NORTE-01-0145-FEDER-000045.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chellal, A.A. et al. (2022). SmartHealth: A Robotic Control Software for Upper Limb Rehabilitation. In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-10047-5_59
Download citation
DOI: https://doi.org/10.1007/978-3-031-10047-5_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10046-8
Online ISBN: 978-3-031-10047-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)