Zusammenfassung
Immer diffizilere Computer- und Elektromotorentechnik ermöglicht den zunehmenden Einsatz und Ausbau robotergestützter Systeme in der unfallchirurgischen Rehabilitation. Die derzeit verfügbaren Devices finden jedoch selten eine flächendeckende Anwendung, sondern werden häufig im Rahmen von Pilotprojekten/-studien eingesetzt. Unterschiedliche technologische Ansätze wie u. a. „exoskeletale Systeme“, „functional electrical stimulation“, „soft robotics“, „neurobotics“ und „brain-machine interface“ werden genutzt und kombiniert, um die Kommunikation zwischen z. B. residualer Muskulatur oder Hirnströmen zu lesen, zu verarbeiten, auf das ausführende Device zu übertragen und die gewünschte Ausführung zu ermöglichen.
Die größte Evidenz besteht derzeit für exoskeletale Systeme mit unterschiedlichen Wirkmechanismen im Rahmen der Gang- und Standrehabilitation bei querschnittsgelähmten PatientInnen. Ihr Einsatz spielt aber auch eine Rolle bei der Rehabilitation hüftgelenknaher Frakturen oder endoprothetischer Versorgung. „single joint systeme“ werden ebenfalls im Rahmen der Rehabilitation funktionseingeschränkter Extremitäten, z. B. nach Knieprothesenimplantation, erprobt. An dieser Stelle ist die derzeitige Datenlage jedoch noch zu gering, um eine eindeutige Aussage über den Nutzen dieser Technologien im unfallchirurgischen „Kerngeschäft“ der Rehabilitation nach Frakturen und anderen Gelenkverletzungen treffen zu können.
Für die Rehabilitation nach Extremitätenamputation ist neben der Weiterentwicklung myoelektrischer Prothesen die derzeitige Entwicklung „fühlender“ Prothesen von hohem Interesse. Der 3D-Druck spielt bei der Herstellung individualisierter Devices ebenfalls eine Rolle.
Aufgrund des derzeitigen Fortschritts der künstlichen Intelligenz in allen Bereichen sind bahnbrechende Weiterentwicklungen und flächendeckende Anwendungsmöglichkeiten in der Rehabilitation unfallchirurgischer PatientInnen zu erwarten.
Abstract
The development of increasingly more complex computer and electromotor technologies enables the increasing use and expansion of robot-assisted systems in trauma surgery rehabilitation; however, the currently available devices are rarely comprehensively applied but are often used within pilot projects and studies. Different technological approaches, such as exoskeletal systems, functional electrical stimulation, soft robotics, neurorobotics and brain-machine interfaces are used and combined to read and process the communication between, e.g., residual musculature or brain waves, to transfer them to the executing device and to enable the desired execution.
Currently, the greatest amount of evidence exists for the use of exoskeletal systems with different modes of action in the context of gait and stance rehabilitation in paraplegic patients; however, their use also plays a role in the rehabilitation of fractures close to the hip joint and endoprosthetic care. So-called single joint systems are also being tested in the rehabilitation of functionally impaired extremities, e.g., after knee prosthesis implantation. At this point, however, the current data situation is still too limited to be able to make a clear statement about the use of these technologies in the trauma surgery “core business” of rehabilitation after fractures and other joint injuries.
For rehabilitation after limb amputation, in addition to the further development of myoelectric prostheses, the current development of “sentient” prostheses is of great interest. The use of 3D printing also plays a role in the production of individualized devices.
Due to the current progress of artificial intelligence in all fields, ground-breaking further developments and widespread application possibilities in the rehabilitation of trauma patients are to be expected.
Abbreviations
- ADL:
-
„Activities of daily living“
- AFO:
-
„Ankle foot orthosis“
- BCI:
-
„Brain-computer inferface“
- CARR:
-
„Compliant ankle rehabilitation robot“
- CPM:
-
„Continuous passive motion“
- CRPS:
-
„Complex regional pain syndrome“
- DASH Score:
-
Disabilities of Arm, Shoulder and Hand Score
- EMG:
-
Elektromyographie
- FAS:
-
Fatigue Assessment Scale
- FES:
-
„Functional electrical stimulation“
- KI:
-
Künstliche Intelligenz
- LEMS:
-
Lower Extremity Motor Scale
- MPK:
-
Mikroprozessorgesteuerte Prothesensysteme
- NMES:
-
„Neuromuscular electrical stimulation“
- SCO:
-
„Stance phase control orthosis“
- SHT:
-
Schädel-Hirn-Trauma
- SR:
-
„Soft robotics“
- SSCO:
-
„Stance and swing phase control orthosis“
- TEPVR:
-
Virtual Reality
Literatur
Aach M, Cruciger O, Sczesny-Kaiser M et al (2014) Voluntary driven exoskeleton as a new tool for rehabilitation in chronic spinal cord injury: a pilot study. Spine J 14:2847–2853
Aach M, Meindl RC, Gessmann J et al (2015) Exoskeletons for rehabilitation of patients with spinal cord injuries. Options and limitations. Unfallchirurg 118:130–137
Ajiboye AB, Willett FR, Young DR et al (2017) Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration. Lancet 389:1821–1830
Albanese GA, Taglione E, Gasparini C et al (2021) Efficacy of wrist robot-aided orthopedic rehabilitation: a randomized controlled trial. J Neuroeng Rehabil 18:130
Benner S, Tepper O, Horas K et al (2019) Exoprothesenversorgung der oberen Extremität. Trauma Berufskrankh 21:55–60
Biasiucci A, Leeb R, Iturrate I et al (2018) Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nat Commun 9:2421
Birch N, Graham J, Priestley T et al (2017) Results of the first interim analysis of the RAPPER II trial in patients with spinal cord injury: ambulation and functional exercise programs in the REX powered walking aid. J Neuroeng Rehabil 14:60
Bockbrader M, Annetta N, Friedenberg D et al (2019) Clinically significant gains in skillful grasp coordination by an individual with tetraplegia using an implanted brain-computer interface with forearm transcutaneous muscle stimulation. Arch Phys Med Rehabil 100:1201–1217
Bockbrader MA, Francisco G, Lee R et al (2018) Brain computer interfaces in rehabilitation medicine. PM R 10:S233–S243
Brinkemper A (2019) Ganganalyse bei rückenmarksverletzten Patienten vor und nach exoskelettalem Training. https://nbn-resolving.org/urn:nbn:de:hbz:464-20191025-111901-8https://doi.org/10.17185/duepublico/70627. Zugegriffen: 9. Okt. 2022
Brinkemper A, Aach M, Grasmucke D et al (2021) Improved physiological gait in acute and chronic SCI patients after training with wearable cyborg hybrid assistive limb. Front Neurorobot 15:723206
Brinkemper A, Grasmucke D, Yilmaz E et al (2021) Influence of locomotion therapy with the wearable cyborg HAL on bladder and bowel function in acute and chronic SCI patients. Global Spine J. https://doi.org/10.1177/21925682211003851
Cardoso LRL, Bochkezanian V, Forner-Cordero A et al (2022) Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions. J Neuroeng Rehabil 19:66
Carlson T, Millan JDR (2013) Brain-controlled wheelchairs: a robotic architecture. IEEE Robotics Autom Mag 20:65–73
Carson RG, Buick AR (2021) Neuromuscular electrical stimulation-promoted plasticity of the human brain. J Physiol 599:2375–2399
Contreras-Vidal JL, Grossman RG (2013) NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. Annu Int Conf IEEE Eng Med Biol Soc 2013:1579–1582
Cruciger O, Tegenthoff M, Schwenkreis P et al (2014) Locomotion training using voluntary driven exoskeleton (HAL) in acute incomplete SCI. Neurology 83:474
Dickmann T, Wilhelm NJ, Glowalla C et al (2021) An adaptive mechatronic exoskeleton for force-controlled finger rehabilitation. Front Robot AI 8:716451
Duffy EI, Garry J, Talbot L et al (2018) A pilot study assessing the spiritual, emotional, physical/environmental, and physiological needs of mechanically ventilated surgical intensive care unit patients via eye tracking devices, head nodding, and communication boards. Trauma Surg Acute Care Open 3:e180
Duvinage M, Castermans T, Jiménez-Fabián R et al (2012) A five-state P300-based foot lifter orthosis: proof of concept. In: 2012 ISSNIP biosignals and biorobotics conference: biosignals and robotics for better and safer living (BRC)
Ernst M, Altenburg B, Schmalz T et al (2022) Benefits of a microprocessor-controlled prosthetic foot for ascending and descending slopes. J NeuroEngineering Rehabil 19:1–12
Evans N, Hartigan C, Kandilakis C et al (2015) Acute cardiorespiratory and metabolic responses during exoskeleton-assisted walking overground among persons with chronic spinal cord injury. Top Spinal Cord Inj Rehabil 21:122–132
Fujikawa T, Takahashi S, Shinohara N et al (2022) Early postoperative rehabilitation using the hybrid assistive limb (HAL) lumbar type in patients with hip fracture: a pilot study. Cureus 14:e22484
Goto K, Morishita T, Kamada S et al (2017) Feasibility of rehabilitation using the single-joint hybrid assistive limb to facilitate early recovery following total knee arthroplasty: a pilot study. Assist Technol 29:197–201
Grasmucke D, Zieriacks A, Jansen O et al (2017) Against the odds: what to expect in rehabilitation of chronic spinal cord injury with a neurologically controlled hybrid assistive limb exoskeleton. A subgroup analysis of 55 patients according to age and lesion level. Neurosurg Focus 42:E15
Hahn A, Bueschges S, Prager M et al (2021) The effect of microprocessor controlled exo-prosthetic knees on limited community ambulators: systematic review and meta-analysis. Disabil Rehabil. https://doi.org/10.1080/09638288.2021.1989504
Jang YC, Park HK, Han JY et al (2019) Cardiopulmonary function after robotic exoskeleton-assisted over-ground walking training of a patient with an incomplete spinal cord injury: case report. Medicine 98:e18286
Kaufmann T, Herweg A, Kubler A (2014) Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials. J Neuroeng Rehabil 11:7
Kotani N, Morishita T, Saita K et al (2020) Feasibility of supplemental robot-assisted knee flexion exercise following total knee arthroplasty. J Back Musculoskelet Rehabil 33:413–421
Krebs HI, Volpe BT, Williams D et al (2007) Robot-aided neurorehabilitation: a robot for wrist rehabilitation. Ieee Trans Neural Syst Rehabil Eng 15:327–335
Kroger I, Nerz C, Schwickert L et al (2021) Robot-assisted training after proximal humeral fracture: a randomised controlled multicentre intervention trial. Clin Rehabil 35:242–252
Kuhlmann A, Kruger H, Seidinger S et al (2020) Cost-effectiveness and budget impact of the microprocessor-controlled knee C‑Leg in transfemoral amputees with and without diabetes mellitus. Eur J Health Econ 21:437–449
Kwak NS, Muller KR, Lee SW (2015) A lower limb exoskeleton control system based on steady state visual evoked potentials. J Neural Eng 12:56009
Lan N, Niu CM, Hao M et al (2019) Achieving neural compatibility with human sensorimotor control in prosthetic and therapeutic devices. IEEE Trans Med Robotics Bionics 1:122–134
Lo AC, Guarino PD, Richards LG et al (2010) Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med 362:1772–1783
Milosevic M, Nakanishi T, Sasaki A et al (2021) Cortical re-organization after traumatic brain injury elicited using functional electrical stimulation therapy: a case report. Front Neurosci 15:693861
Mrotzek SJ, Ahmadi S, von Glinski A et al (2022) Rehabilitation during early postoperative period following total knee arthroplasty using single-joint hybrid assistive limb as new therapy device: a randomized, controlled clinical pilot study. Arch Orthop Trauma Surg 142(12):3941–3947
Muller-Putz GR, Rupp R, Ofner P et al (2019) Applying intuitive EEG-controlled grasp neuroprostheses in individuals with spinal cord injury: preliminary results from the moregrasp clinical feasibility study. Annu Int Conf IEEE Eng Med Biol Soc 2019:5949–5955
Osuagwu BC, Wallace L, Fraser M et al (2016) Rehabilitation of hand in subacute tetraplegic patients based on brain computer interface and functional electrical stimulation: a randomised pilot study. J Neural Eng 13:65002
Padilla-Castaneda MA, Sotgiu E, Barsotti M et al (2018) An orthopaedic robotic-assisted rehabilitation method of the forearm in virtual reality physiotherapy. J Healthc Eng 2018:7438609
Park Y‑L, Chen B‑R, Pérez-Arancibia NO et al (2014) Design and control of a bio-inspired soft wearable robotic device for ankle-foot rehabilitation. Bioinspir Biomim 9:16007
Petrini FM, Valle G, Bumbasirevic M et al (2019) Enhancing functional abilities and cognitive integration of the lower limb prosthesis. Sci Transl Med 11:eaav8939
Popovic MR, Masani K, Micera S (2016) Functional electrical stimulation therapy: recovery of function following spinal cord injury and stroke. Neurorehabilitation technology. Springer, S 513–532
Postol N, Spratt NJ, Bivard A et al (2021) Physiotherapy using a free-standing robotic exoskeleton for patients with spinal cord injury: a feasibility study. J Neuroeng Rehabil 18:180
Raspopovic S (2021) Neurorobotics for neurorehabilitation. Science 373:634–635
Roy A, Krebs HI, Williams DJ et al (2009) Robot-aided neurorehabilitation: a novel robot for ankle rehabilitation. IEEE Trans Robotics 25:569–582
Schmalz T, Probsting E, Auberger R et al (2016) A functional comparison of conventional knee-ankle-foot orthoses and a microprocessor-controlled leg orthosis system based on biomechanical parameters. Prosthet Orthot Int 40:277–286
Schwickert L, Klenk J, Stahler A et al (2011) Robotic-assisted rehabilitation of proximal humerus fractures in virtual environments: a pilot study. Z Gerontol Geriatr 44:387–392
Sczesny-Kaiser M, Hoffken O, Aach M et al (2015) HAL(R) exoskeleton training improves walking parameters and normalizes cortical excitability in primary somatosensory cortex in spinal cord injury patients. J Neuroeng Rehabil 12:68
Selfslagh A, Shokur S, Campos DSF et al (2019) Non-invasive, brain-controlled functional electrical stimulation for locomotion rehabilitation in individuals with paraplegia. Sci Rep 9:6782
Setoguchi D, Kinoshita K, Kamada S et al (2022) Hybrid assistive limb improves restricted hip extension after total hip arthroplasty. Assist Technol 34:112–120
Tanaka Y, Oka H, Nakayama S et al (2017) Improvement of walking ability during postoperative rehabilitation with the hybrid assistive limb after total knee arthroplasty: a randomized controlled study. SAGE Open Med 5:2050312117712888
Tariq M, Trivailo PM, Simic M (2018) EEG-based BCI control schemes for lower-limb assistive-robots. Front Hum Neurosci 12:312
Tonin L, Perdikis S, Kuzu TD, Pardo J, Orset B, Lee K, Aach M, Schildhauer TA, Martinez-Olivera R, Millan JR (2022) Learning to control a BMI-driven wheelchair for people with severe tetraplegia. iScience. https://doi.org/10.1016/j.isci.2022.105418
Triolo ER, Busha BF (2022) Design and experimental testing of a force-augmenting exoskeleton for the human hand. J Neuroeng Rehabil 19:23
Ull C, Hamsen U, Weckwerth C et al (2022) Approach to the basic needs in patients on invasive ventilation using eye-tracking devices for non-verbal communication. Artif Organs 46:439–450
Valle G, Saliji A, Fogle E et al (2021) Mechanisms of neuro-robotic prosthesis operation in leg amputees. Sci Adv 7:eabd8354
Vodovnik L, Bajd T, Kralj A et al (1981) Functional electrical stimulation for control of locomotor systems. Crit Rev Bioeng 6:63–131
Vodovnik L, Long C 2nd, Reswick JB et al (1965) Myo-electric control of paralyzed muscles. IEEE Trans Biomed Eng 12:169–172
Vodovnik L, Rebersek S (1974) Information content of myo-control signals for orthotic and prosthetic systems. Arch Phys Med Rehabil 55:52–56
Yoo HJ, Lee S, Kim J et al (2019) Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury. J Neuroeng Rehabil 16:162
Yoshioka T, Kubota S, Sugaya H et al (2021) Feasibility and efficacy of knee extension training using a single-joint hybrid assistive limb, versus conventional rehabilitation during the early postoperative period after total knee arthroplasty. J Rural Med 16:22–28
Yoshioka T, Kubota S, Sugaya H et al (2017) Robotic device-assisted knee extension training during the early postoperative period after opening wedge high tibial osteotomy: a case report. J Med Case Rep 11:213
Zhang M, Cao J, Xie SQ et al (2018) A preliminary study on robot-assisted ankle rehabilitation for the treatment of drop foot. J Intell Robotic Syst 91:207–215
Zhang M, Xie SQ, Li X et al (2017) Adaptive patient-cooperative control of a compliant ankle rehabilitation robot (CARR) with enhanced training safety. IEEE Trans Ind Electron 65:1398–1407
Zieriacks A, Aach M, Brinkemper A et al (2021) Rehabilitation of acute vs. chronic patients with spinal cord injury with a neurologically controlled hybrid assistive limb exoskeleton: is there a difference in outcome? Front Neurorobot 15:728327
Jopp R (2019) Den Rollstuhl mit Gedanken steuern: Brain-Computer-Interface-Projekt in Bergmannsheil. https://idw-online.de/de/news717612. Zugegriffen: 15. Nov. 2022
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C. Kruppa, S. Benner, A. Brinkemper, M. Aach, C. Reimertz und T.A. Schildhauer geben an, dass kein Interessenkonflikt besteht.
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Kruppa, C., Benner, S., Brinkemper, A. et al. Neue Technologien und Robotik. Unfallchirurgie 126, 9–18 (2023). https://doi.org/10.1007/s00113-022-01270-0
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DOI: https://doi.org/10.1007/s00113-022-01270-0