Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation
Tóm tắt
Robot-assisted therapy has become increasingly popular and useful in post-stroke neurorehabilitation. This paper presents an overview of the design and control of the dual-arm Recupera exoskeleton to provide intense therapist-guided as well as self training for sensorimotor rehabilitation of the upper body. The exoskeleton features a lightweight design, high level of modularity, decentralized computing, and various levels of safety implementation. Due to its modularity, the system can be used as a wheel-chair mounted system or as a full-body system. Both systems enable a wide range of therapies while efficiently grounding the weight of the system and without compromising the patient’s mobility. Furthermore, two rehabilitation therapies implemented on the exoskeleton system, namely teach & replay therapy and mirror therapy, are presented along with experimental results.
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Tài liệu tham khảo
Global Burden of Disease (GBD) (2015). Global, regional, and national life expectancy, all-cause mortality, and cause-specic mortality for 249 causes of death. Lancet, 388.
2011, Schlaganfallversorgung in Deutschland–Inzidenz, Wiederaufnahmen, Mortalität und Pflegerisiko im Spiegel von Routinedaten, Versorgungsreport, 147, 260
Ward, 2005, Care needs and economic consequences after acute ischemic stroke: The Erlangen Stroke Project, Eur. J. Neurol., 12, 264, 10.1111/j.1468-1331.2004.00949.x
Walbert, 2007, Krankheitskosten neurologischer Erkrankungen in Deutschland, Nervenheilkunde, 26, 260, 10.1055/s-0038-1626857
Kwakkel, G., Kollen, B.J., and Krebs, H.I. (2008). Effects of robot-assisted therapy on upper limb recovery after stroke: A systematic review. Neurorehabil. Neural Repair, 22.
Johansson, 2000, Brain plasticity and stroke rehabilitation: The Willis lecture, Stroke, 31, 223, 10.1161/01.STR.31.1.223
Hara, 2015, Brain Plasticity and Rehabilitation in Stroke Patients, J. Nippon Med. Sch., 82, 4, 10.1272/jnms.82.4
Langhorne, 2009, Motor recovery after stroke: A systematic review, Lancet Neurol., 8, 741, 10.1016/S1474-4422(09)70150-4
Lohse, 2014, Is more better? Using metadata to explore dose—Response relationships in stroke rehabilitation, Stroke, 45, 2053, 10.1161/STROKEAHA.114.004695
Krebs, 2003, Robotic Applications in Neuromotor Rehabilitation, Robotica, 21, 3, 10.1017/S0263574702004587
Hogan, 2011, Physically interactive robotic technology for neuromotor rehabilitation, Prog. Brain Res., 192, 59, 10.1016/B978-0-444-53355-5.00004-X
Lo, 2010, Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke, N. Engl. J. Med., 362, 1772, 10.1056/NEJMoa0911341
Maciejasz, 2014, A survey on robotic devices for upper limb rehabilitation, J. NeuroEng. Rehabil., 11, 1, 10.1186/1743-0003-11-3
Proietti, 2016, Upper-Limb Robotic Exoskeletons for Neurorehabilitation: A Review on Control Strategies, IEEE Rev. Biomed. Eng., 9, 4, 10.1109/RBME.2016.2552201
Gopura, 2016, Developments in hardware systems of active upper-limb exoskeleton robots: A review, Robot. Auton. Syst., 75, 203, 10.1016/j.robot.2015.10.001
Gassert, 2018, Rehabilitation robots for the treatment of sensorimotor deficits: A neurophysiological perspective, J. NeuroEng. Rehabil., 15, 46, 10.1186/s12984-018-0383-x
Lo, 2012, Exoskeleton robots for upper-limb rehabilitation: State of the art and future prospects, Med. Eng. Phys., 34, 261, 10.1016/j.medengphy.2011.10.004
Ada, 2006, Strengthening interventions increase strength and improve activity after stroke: A systematic review, Aust. J. Physiother., 52, 241, 10.1016/S0004-9514(06)70003-4
Kwakkel, 1999, Intensity of leg and arm training after primary middle-cerebral-artery stroke: A randomised trial, Lancet, 354, 191, 10.1016/S0140-6736(98)09477-X
Wu, 2016, Long-term effectiveness of intensive therapy in chronic stroke, Neurorehabil. Neural Repair, 30, 583, 10.1177/1545968315608448
Dijkers, 1991, Patient and staff acceptance of robotic technology in occupational therapy: A pilot study, J. Rehabil. Res. Dev., 28, 33, 10.1682/JRRD.1991.04.0033
Basteris, 2014, Training modalities in robot-mediated upper limb rehabilitation in stroke: A framework for classification based on a systematic review, J. Neuroeng. Rehabil., 11, 111, 10.1186/1743-0003-11-111
Bertani, 2017, Effects of robot-assisted upper limb rehabilitation in stroke patients: A systematic review with meta-analysis, Neurol. Sci., 38, 1561, 10.1007/s10072-017-2995-5
Lo, 2017, Effectiveness of robotic assisted rehabilitation for mobility and functional ability in adult stroke patients: A systematic review, JBI Database Syst. Rev. Implement. Rep., 15, 3049, 10.11124/JBISRIR-2017-003456
Esquenazi, 2012, The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury, Am. J. Phys. Med. Rehabil., 91, 911, 10.1097/PHM.0b013e318269d9a3
Heo, 2012, Current hand exoskeleton technologies for rehabilitation and assistive engineering, Int. J. Precis. Eng. Manuf., 13, 807, 10.1007/s12541-012-0107-2
Gopura, R.A.R.C., Kiguchi, K., and Bandara, D.S.V. (2011, January 16–19). A brief review on upper extremity robotic exoskeleton systems. Proceedings of the 2011 6th International Conference on Industrial and Information Systems, Kandy, Sri Lanka.
Nef, 2009, ARMin III—Arm therapy exoskeleton with an ergonomic shoulder actuation, Appl. Bionics Biomech., 6, 127, 10.1155/2009/962956
Hocoma AG (2018). Technical Data Armeo Power, Hocoma AG. Rev. 1.2.
Kim, 2017, An upper-body rehabilitation exoskeleton Harmony with an anatomical shoulder mechanism: Design, modeling, control, and performance evaluation, Int. J. Robot. Res., 36, 414, 10.1177/0278364917706743
Huang, 2016, Design and Evaluation of the RUPERT Wearable Upper Extremity Exoskeleton Robot for Clinical and In-Home Therapies, IEEE Trans. Syst. Man Cybern. Syst., 46, 926, 10.1109/TSMC.2015.2497205
Gopura, R.A.R.C., and Kiguchi, K. (2008, January 12–14). Development of a 6DOF Exoskeleton Robot for Human Upper-Limb Motion Assist. Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka.
Darbois, 2018, Do Robotics and Virtual Reality Add Real Progress to Mirror Therapy Rehabilitation? A Scoping Review, Rehabil. Res. Pract., 2018, 6412318
Staubli, 2009, Effects of intensive arm training with the rehabilitation robot ARMin II in chronic stroke patients: Four single-cases, J. NeuroEng. Rehabil., 6, 46, 10.1186/1743-0003-6-46
Kirchner, E.A., Will, N., Simnofske, M., Benitez, L.M.V., Bongardt, B., Krell, M.M., Kumar, S., Mallwitz, M., Seeland, A., and Tabie, M. (2016, January 12–13). Recupera-Reha: Exoskeleton Technology with Integrated Biosignal Analysis for Sensorimotor Rehabilitation. Proceedings of the Transdisziplinäre Konferenz SmartASSIST, Hamburg, Germany.
Simnofske, M., Kumar, S., Bongardt, B., and Kirchner, F. (2016, January 21–22). Active Ankle—An Almost-Spherical Parallel Mechanism. Proceedings of the 47th International Symposium on Robotics (ISR), Munich, Germany.
Kumar, S., Bongardt, B., Simnofske, M., and Kirchner, F. (2018). Design and Kinematic Analysis of the Novel Almost Spherical Parallel Mechanism Active Ankle. J. Intell. Robot. Syst., 1–23.
Kumar, S., Simnofske, M., Bongardt, B., Müller, A., and Kirchner, F. (July, January 28). Integrating Mimic Joints into Dynamics Algorithms: Exemplified by the Hybrid Recupera Exoskeleton. Proceedings of the Advances in Robotics (AIR ’17), New Delhi, India.
Yüksel, M., Benitez, L.M.V., Zardykhan, D., and Kirchner, F. (December, January 30). Mechatronical design and analysis of a modular developed exoskeleton for rehabilitation purposes. Proceedings of the 10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey.
Naidu, D., Stopforth, R., Bright, G., and Davrajh, S. (2011, January 13–15). A 7 DOF exoskeleton arm: Shoulder, elbow, wrist and hand mechanism for assistance to upper limb disabled individuals. Proceedings of the AFRICON’11, Livingstone, Zambia.
Mallwitz, M., Will, N., Teiwes, J., and Kirchner, E.A. (2015, January 11–13). The CAPIO Active Upper Body Exoskeleton and its Application for Teleoperation. Proceedings of the 13th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2015), Noordwijk, The Netherlands.
Magermans, 2005, Requirements for upper extremity motions during activities of daily living, Clin. Biomech., 20, 591, 10.1016/j.clinbiomech.2005.02.006
Simnofske, M. (2015). Ausrichtungsvorrichtung zum Ausrichten einer Plattform in drei rotatorischen Freiheiten. (DE102013018034A1), German Patent.
Kong, X., and Gosselin, C.M. (2007). Type Synthesis of Parallel Mechanisms, Springer Publishing Company, Incorporated. [1st ed.].
Kuehn, 2016, System Design and Field Testing of the Hominid Robot Charlie, J. Field Robot., 34, 666, 10.1002/rob.21662
Kuehn, D., Dettmann, A., Kirchner, F., and Kirchner, F. (2018, January 20–23). Analysis of using an active artificial spine in a quadruped robot. Proceedings of the 2018 4th International Conference on Control, Automation and Robotics (ICCAR), Auckland, New Zealand.
(2019, January 10). iC-MU Magnetic Off-Axis Absolute Position Encoder. Available online: http://www.ichaus.de/ic-mu.
Xilinx Inc. (2015). UG585 Zynq-7000 All Programmable SoC Technical Reference Manual, Xilinx Inc.. [1.10 ed.].
Wöhrle, H., Tabie, M., Kim, S.K., Kirchner, F., and Kirchner, E.A. (2017). A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. Sensors, 17.
Zeghloul, S., Romdhane, L., and Laribi, M.A. (2018). Kinematic Analysis of Active Ankle Using Computational Algebraic Geometry. Computational Kinematics, Springer International Publishing.
Kumar, S., von Szadkowski, K.A., Müller, A., and Kirchner, F. (2018, January 1–5). HyRoDyn: A Modular Software Framework for Solving Analytical Kinematics and Dynamics of Series-Parallel Hybrid Robots. Proceedings of the International Conference on Intelligent Robots and Systems (Late Breaking Poster), Madrid, Spain.
(2018, December 21). Flask, Web Development One Drop at a Time. Available online: http://flask.pocoo.org/.
(2018, December 21). Rock, the Robot Construction Kit. Available online: http://www.rock-robotics.org.
Alvarez, S., Solé-Casals, J., Fred, A., and Gamboa, H. (2013). EMG Onset Detection—Comparison of different methods for a movement prediction task based on EMG. Proceedings of the 6th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-13), SciTePress.