MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy

Tyler Susko, Krithika Swaminathan, Hermano Igo Krebs, Tyler Susko, Krithika Swaminathan, Hermano Igo Krebs

Abstract

The MIT-Skywalker is a novel robotic device developed for the rehabilitation or habilitation of gait and balance after a neurological injury. It represents an embodiment of the concept exhibited by passive walkers for rehabilitation training. Its novelty extends beyond the passive walker quintessence to the unparalleled versatility among lower extremity devices. For example, it affords the potential to implement a novel training approach built upon our working model of movement primitives based on submovements, oscillations, and mechanical impedances. This translates into three distinct training modes: discrete, rhythmic, and balance. The system offers freedom of motion that forces self-directed movement for each of the three modes. This paper will present the technical details of the robotic system as well as a feasibility study done with one adult with stroke and two adults with cerebral palsy. Results of the one-month feasibility study demonstrated that the device is safe and suggested the potential advantages of the three modular training modes that can be added or subtracted to tailor therapy to a particular patient's need. Each participant demonstrated improvement in common clinical and kinematic measurements that must be confirmed in larger randomized control clinical trials.

Figures

Fig. 1
Fig. 1
A study participant with impairments due to Cerebral Palsy trains on the MIT-Skywalker. Subject is looking at a monitor that displays the training goals in a form of video-games.
Fig. 2
Fig. 2
The MIT-Skywalker concept of assistance. Top row shows healthy gait: the leg supports the trunk while it moves backward relative to the trunk during the stance phase; at toe-off the support is shifted, the ankle completes a propulsive plantarflexion movement, and initiates a dorsiflexion movement to clear the ground initiating the swing phase. The walking surface is necessary during the stance phase, but it inhibits the leg during the swing phase and requires clearing the surface and propelling the leg forward. In the MIT-Skywalker, the split treadmill moves the patient's foot to the toe-off position. Once the vision acquisition system recognizes the heel x-position has reached a minimum (patient-initiated swing phase), the track is dropped, allowing the foot to swing forward freely for another step partially assisted by gravity (pendulum) and by patient's effort.
Fig. 3
Fig. 3
Sagittal Plane actuator and transmission. A. Brushless servo motor. B. Pinion gear. C. Rack Gear. D. Linear Cam. E. Linear Bearing. F. Treadmill Track. G. Cam follower mount.
Fig. 4
Fig. 4
Tri-zone linear cam path. A: Track drop path B: Horizontal resting position C: Track raise path.
Fig. 5
Fig. 5
Treadmill motion control loop.
Fig. 6
Fig. 6
Schematics for the heel x-position estimation. Left: Analysis for rhythmic and balance programs. Right: Analysis for discrete program.
Fig. 7
Fig. 7
View from the MIT-Skywalker. A large screen is used to display games and real-time webcam video of the subject.
Fig. 8
Fig. 8
Discrete training mode stepping. A target is shown (white bar). The participant locates the target position with the heel. The success rate can be seen in front of the participant to keep her engaged in the training session.
Fig. 9
Fig. 9
The bottom graph shows the speed in mph of each treadmill. Left of the vertical dotted line represents the step lengths recorded over a 30 second diagnostics session prior to training and right of the dotted line represents the post training diagnostic session. The middle section shows block 5/5 of the 11th training session of 16 (the sixth rhythmic session, R6). The top graph shows the step length of each step before, during and after training. For this day of training, P1's initial gait showed slight asymmetry to start with an average left step length 0.2% longer than the right. After training with a longer left step, the final diagnostic showed the left step length to be 2.8% shorter than the right, statistically significant via the paired t-test (p < 0.05).

References

    1. Lawrence ES, Coshall C, Dundas R, Stewart J, Rudd AG, Howard R, Wolfe CD. Estimates of the prevalence of acute stroke impairments and disability in a multiethnic population. Stroke. 2001;32(6):1279–1284.
    1. Sommerfeld DK, Eek EUB, Svensson AK, Holmqvist LW, von Arbin MH. Spasticity after stroke its occurrence and association with motor impairments and activity Limitations. Stroke. 2004;35(1):134–139.
    1. Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, Simone GD, Ferguson TB, Ford E, Furie K, Gillespie C, Go A, Greenlund K, Haase N, Hailpern S, Ho PM, Howard V, Kissela B, Kittner S, Lackland D, Lisabeth L, Marelli A, McDermott MM, Meigs J, Mozaffarian D, Mussolino M, Nichol G, Roger VL, Rosamond W, Sacco R, Sorlie P, Stafford R, Thom T, Wasserthiel-Smoller S, Wong ND, Wylie-Rosett J. Executive Summary: Heart Disease and Stroke Statistics—2010 Update a Report From the American Heart Association. Circulation. 2010 Feb;121(7):948–954.
    1. Winter S, Autry A, Boyle C, Yeargin-Allsopp M. Trends in the prevalence of cerebral palsy in a population-based study. Pediatrics. 2002;110(6):1220–1225.
    1. Fisher M. New approaches to neuroprotective drug development. Stroke. 2011;42(1) 1:s24–s27.
    1. Miller EL, Murray L, Richards L, Zorowitz RD, Bakas T, Clark P, Billinger SA, et al. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient a scientific statement from the American Heart Association. Stroke. 2010;41(10):2402–2448.
    1. Lang CE, MacDonald JR, Reisman DS, Boyd L, Kimberley TJ, Schindler-Ivens SM, Hornby TG, Ross SA, Scheets PL. Observation of amounts of movement practice provided during stroke rehabilitation. Arch Phys Med Rehabil. 2009;90(10):1692–1698.
    1. Lo AC, Guarino PD, Richards LG, Haselkorn JK, Wittenberg GF, Federman DG, Ringer RJ, Wagner TH, Krebs HI, Volpe BT, Bever CT, Bravata DM, Duncan PW, Corn BH, Maffucci AD, Nadeau SE, Conroy SS, Powell JM, Huang GD, Peduzzi P. Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke. N Engl J Med. 2010 May;362(19):1772–1783.
    1. Aisen ML, Krebs HI, Hogan N, McDowell F, Volpe BT. The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. Arch Neurol. 1997;54(4):443–446.
    1. Lees A, Vanrenterghem J, Barton G, Lake M. Kinematic response characteristics of the caren moving platform system for use in posture and balance research. Med Eng Phys. 2007;29(5):629–635.
    1. Luciani LB, Genovese V, Monaco V, Odetti L, Cattin E, Micera S. Design and Evaluation of a new mechatronic platform for assessment and prevention of fall risks. J Neuroeng Rehabil. 2012;9(1):51.
    1. Shapiro A, Melzer I. Balance perturbation system to improve balance compensatory responses during walking in old persons. 2010
    1. Colombo G, Joerg M, Schreier R, Dietz V, et al. Treadmill training of paraplegic patients using a robotic orthosis. J Rehabil Res Dev. 2000;37(6):693–700.
    1. Veneman JF, Kruidhof R, Hekman EE, Ekkelenkamp R, Van Asseldonk EH, Van Der Kooij H. Design and evaluation of the lopes exoskeleton robot for interactive gait rehabilitation. Neural Syst Rehabil Eng IEEE Trans On. 2007;15(3):379–386.
    1. Banala SK, Agrawal SK, Scholz JP. Active Leg Exoskeleton (alex) for gait rehabilitation of motor-impaired patients. Rehabilitation Robotics, 2007 ICORR 2007 IEEE 10th International Conference on. 2007:401–407.
    1. Uhlenbrock D, Sarkodie Gyan T, Reiter F, Konrad M, Hesse S. Development of a servo-controlled Gait Trainer for the rehabilitation of non-ambulatory patients. Biomed Tech. 1997;42(7–8):196–202.
    1. Hesse S, Uhlenbrock D, et al. a mechanized gait trainer for restoration of gait. J Rehabil Res Dev. 2000;37(6):701–708.
    1. Schmidt H, Werner C, Bernhardt R, Hesse S, Krüger J. Gait rehabilitation machines based on programmable footplates. J Neuro-engineering Rehabil. 2007;4(1):2.
    1. Hesse S, Waldner A, Tomelleri C. Research Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients. J NeuroEngineering Rehabil. 2010;7(30)
    1. Husemann B, Müller F, Krewer C, Heller S, Koenig E. Effects of locomotion training with assistance of a robot-driven gait orthosis in hemiparetic patients after stroke a randomized controlled pilot study. Stroke. 2007;38(2):349–354.
    1. Mayr A, Kofler M, Quirbach E, Matzak H, Fröhlich K, Saltuari L. Prospective, blinded, randomized crossover study of gait rehabilitation in stroke patients using the Lokomat gait orthosis. Neu-rorehabil Neural Repair. 2007;21(4):307–314.
    1. Hesse S, Uhlenbrock D, Sarkodie-Gyan T. Gait pattern of severely disabled hemiparetic subjects on a new controlled gait trainer as compared to assisted treadmill walking with partial body weight support. Clin Rehabil. 1999;13(5):401–410.
    1. Hesse S, Werner C, Uhlenbrock D, Frankenberg SV, Bardeleben A, Brandl-Hesse B. An electromechanical gait trainer for restoration of gait in hemiparetic stroke patients: preliminary results. Neurorehabil Neural Repair. 2001;15(1):39–50.
    1. Pohl M, Werner C, Holzgraefe M, Kroczek G, Wingendorf I, Hoölig G, Koch R, Hesse S. Repetitive locomotor training and physiotherapy improve walking and basic activities of daily living after stroke: a single-blind, randomized multicentre trial (DEutsche GAngtrainerStudie, DEGAS) Clin Rehabil. 2007;21(1):17–27.
    1. Hidler J, Nichols D, Pelliccio M, Brady K, Campbell DD, Kahn JH, Hornby TG. Multicenter randomized clinical trial evaluating the effectiveness of the Lokomat in subacute stroke. Neurorehabil Neural Repair. 2009;23(1):5–13.
    1. Hornby TG, Campbell DD, Kahn JH, Demott T, Moore JL, Roth HR. Enhanced Gait-Related Improvements After Therapist-Versus Robotic-Assisted Locomotor Training in Subjects With Chronic Stroke A Randomized Controlled Study. Stroke. 2008 Jun;39(6):1786–1792.
    1. Duncan PW, Sullivan KJ, Behrman AL, Azen SP, Wu SS, Nadeau SE, Dobkin BH, Rose DK, Tilson JK, et al. Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial. BMC Neurol. 2007;7(1):39.
    1. Duncan PW, Sullivan KJ, Behrman AL, Azen SP, Wu SS, Nadeau SE, Dobkin BH, Rose DK, Tilson JK, Cen S, Hayden SK. Body-Weight-Supported Treadmill Rehabilitation after Stroke. N Engl J Med. 2011 May;364(21):2026–2036.
    1. Dobkin B, Duncan P. Should Body Weight-Supported Treadmill Training and Robotic-Assistive Steppers for Locomotor Training Trot Back to the Starting Gate? Neurorehabil Neural Repair. 2012 May;26(4):308–317.
    1. Susko T, Krebs HI. MIT-Skywalker: A novel environment for neural gait rehabilitation; Biomedical Robotics and Biomechatronics (2014 5th IEEE RAS & EMBS International Conference on; 2014. pp. 677–682.
    1. Bosecker CJ, Krebs HI. Mit-skywalker; Rehabilitation Robotics, 2009 ICORR 2009 IEEE International Conference on; 2009. pp. 542–549.
    1. Susko T, Krebs HI. IR vision system for the estimation of gait phase of the MIT-Skywalker; Northeast Bioengineering Conference (NEBEC), 2014 40th Annual; 2014. pp. 1–2.
    1. Lynch D, Ferraro M, Krol J, Trudell CM, Christos P, Volpe BT. Continuous passive motion improves shoulder joint integrity following stroke. Clin Rehabil. 2005;19(6):594–599.
    1. Hogan N, Sternad D. Dynamic primitives of motor behavior. Biol Cybern. 2012;106(11–12):727–739.
    1. Schaal S, Sternad D, Osu R, Kawato M. Rhythmic arm movement is not discrete. Nat Neurosci. 2004;7(10):1136–1143.
    1. Ikegami T, Hirashima M, Taga G, Nozaki D. Asymmetric transfer of visuomotor learning between discrete and rhythmic movements. J Neurosci. 2010;30(12):4515–4521.
    1. Mizrahi J, Solzi P, Ring H, Nisell R. Postural stability in stroke patients: Vectorial expression of asymmetry, sway activity and relative sequence of reactive forces. Med Biol Eng Comput. 1989 Mar;27(2):181–190.
    1. Rose J, Wolff DR, Jones VK, Bloch DA, Oehlert JW, Gamble JG. Postural balance in children with cerebral palsy. Dev Med Child Neurol. 2002;44(1):58–63.
    1. Nichols DS. Balance retraining after stroke using force platform biofeedback. Phys Ther. 1997;77(5):553–558.
    1. MD JP, PT JBP. Gait Analysis: Normal and Pathological Function. Second. Thorofare, NJ: Slack Incorporated; 2010.
    1. Altshuller G. Innovation Algorithm:TRIZ, systematic innovation and technical creativity. 1st. Worcester, Mass: Technical Innovation Ctr; 1999.
    1. Collins SH, Wisse M, Ruina A. A Three-Dimensional Passive-Dynamic Walking Robot with Two Legs and Knees. Int J Robot Res. 2001 Jul;20(7):607–615.
    1. Alton F, Baldey L, Caplan S, Morrissey MC. A kinematic comparison of overground and treadmill walking. Clin Biomech. 1998 Sep;13(6):434–440.
    1. Artemiadis PK, Krebs HI. On the control of the MIT-Skywalker; 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2010. pp. 1287–1291.
    1. Susko TG. Thesis, Massachusetts Institute of Technology. 2015. MIT Skywalker?: a novel robot for gait rehabilitation of stroke and cerebral palsy patients.
    1. Kim SJ, Krebs HI. MIT-Skywalker: Preliminary Insights on Performance-Based Locomotor Training; ASME 2010 Dynamic Systems and Control Conference; 2010. pp. 365–367.
    1. Seiterle S, Susko T, Artemiadis PK, Riener R, Krebs HI. Interlimb Coordination in Body-Weight Supported Locomotion: A Pilot Study. J Biomech. 2015
    1. Reisman DS, Wityk R, Silver K, Bastian AJ. Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke. Brain J Neurol. 2007 Jul;130(Pt 7):1861–1872.
    1. Kim SJ, Krebs HI. Effects of implicit visual feedback distortion on human gait. Exp Brain Res. 2012;218(3):495–502.
    1. Bohannon RW. Comfortable and maximum walking speed of adults aged 20—79 years: reference values and determinants. Age Ageing. 1997;26(1):15–19.

Source: PubMed

3
Abonneren