Robot-assisted gait training with complementary auditory feedback: Results on short-term motor adaptation

Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

Volumn , Issue , 2012, Pages 1388-1393

  Zanotto, Damiano ^a   Rosati, Giulio ^b   Avanzini, Federico ^b   Stegall, Paul ^a   Agrawal, Sunil K ^a  

^a UNIVERSITY OF DELAWARE   (United States)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUDITORY FEEDBACK; CONTROL GROUPS; EXPERIMENTAL GROUPS; GAIT KINEMATICS; GAIT PATTERN; GAIT TRAINING; HEALTHY SUBJECTS; MOTOR ADAPTATION; ROBOTIC EXOSKELETONS; TRAINING SESSIONS; VISUAL FEEDBACK;

HUMAN COMPUTER INTERACTION;

VISUAL COMMUNICATION;

EID: 84867426775     PISSN: 21551774     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioRob.2012.6290667     Document Type: Conference Paper

References (24)

1. M. Thaut and M. Abiru, "Rhythmic auditory stimulation in rehabilitation of movement disorders: a review of current research," Music Perception, vol. 27, no. 4, pp. 263-269, 2010.
2. M. Roerdink et al., "Walking to the beat of different drums: practical implications for the use of acoustic rhythms in gait rehabilitation." Gait & posture, vol. 33, no. 4, pp. 690-4, Apr. 2011.
3. M. Schauer and K.-H. Mauritz, "Musical motor feedback (MMF) in walking hemiparetic stroke patients: randomized trials of gait improvement," Clinical Rehabilitation, vol. 17, no. 7, pp. 713-722, Oct. 2003.
4. M. Suteerawattananon et al., "Effects of visual and auditory cues on gait in individuals with Parkinson's disease." Journal of the neurological sciences, vol. 219, no. 1-2, pp. 63-9, Apr. 2004.
5. I. Lim et al., "Effects of external rhythmical cueing on gait in patients with Parkinson's disease: a systematic review," Clinical Rehabilitation, vol. 19, no. 7, pp. 695-713, Oct. 2005.
6. M. H. Thaut et al., "Rhythmic auditory stimulation improves gait more than NDT/Bobath training in near-ambulatory patients early poststroke: a single-blind, randomized trial." Neurorehabilitation and neural repair, vol. 21, no. 5, pp. 455-9, 2007.
7. M. Roerdink et al., "Rhythm perturbations in acoustically paced treadmill walking after stroke." Neurorehabilitation and neural repair, vol. 23, no. 7, pp. 668-78, Sep. 2009.
8. J. A.Taylor and K. A.Thoroughman, "Divided attention impairs human motor adaptation but not feedback control," J. Neurophysiol., p. 10, April 2007.
9. M. Rath and D. Rocchesso, "Continuous sonic feedback from a rolling ball," IEEE Multimedia, vol. 12, no. 2, pp. 60-69, April-June 2005.
10. D. J. Reinkensmeyer and J. Galvez, "Some key problems for robotassisted movement therapy research: A perspective from the university of California at Irvine," in IEEE 10th Int. Conf. Rehab. Rob. (ICORR 2007), 2007, pp. 1009-1015.
11. F. Avanzini et al., "Integrating auditory feedback in motor rehabilitation systems," in International Conference on Multimodal Interfaces for Skills Transfer, 2009.
12. R. Secoli et al., "Effect of visual distraction and auditory feedback on patient effort during robot-assisted movement training after stroke." Journal of neuroengineering and rehabilitation, vol. 8, no. 1, p. 21, Jan. 2011.
13. G. Rosati et al., "Improving robotics for neurorehabilitation: enhancing engagement, performance, and learning with auditory feedback," in Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on, 2011, pp. 341-346.
14. S. H. Kim et al., "Robot-assisted modifications of gait in healthy individuals." Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale, vol. 202, no. 4, pp. 809-24, May 2010.
15. S. Banala, A. Kulpe, and S. K. Agrawal, "A powered leg orthosis for gait rehabilitation of motor-impaired patients," in International Conference on Robotics and Automation, no. April, Roma, Italy, 2007, pp. 10-14.
16. S. K. Banala et al., "Robot assisted gait training with active leg exoskeleton (ALEX)." IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 17, no. 1, pp. 2-8, Feb. 2009.
17. K. Winfree, P. Stegall, and Ag, "Design of a Minimally Constraining, Passively Supported Gait Training Exoskeleton: ALEX II," in 2011 IEEE International Conference on Rehabilitation Robotics (ICORR), 2011, pp. 1053-1058.
18. H. Sadeghi et al., "Symmetry and limb dominance in able-bodied gait: a review." Gait & posture, vol. 12, no. 1, pp. 34-45, Sep. 2000.
19. J. H. Zar, Biostatistical Analysis (5th Edition). Upper Saddle River, NJ, USA: Prentice-Hall, Inc., 2007.
20. K. K. Patterson et al., "Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization." Gait & posture, vol. 31, no. 2, pp. 241-6, Feb. 2010.
21. C. Eccleston and G. Crombez, "Pain demands attention: a cognitiveaffective model of the interruptive function of pain." Psychological bulletin, vol. 125, no. 3, pp. 356-66, May 1999.
22. J. W. Noble and S. D. Prentice, "Adaptation to unilateral change in lower limb mechanical properties during human walking." Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale, vol. 169, no. 4, pp. 482-95, Mar. 2006.
23. E. H. F. van Asseldonk et al., "The Effects on Kinematics and Muscle Activity of Walking in a Robotic Gait Trainer During Zero-Force Control." IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 16, no. 4, pp. 360-370, Aug. 2008.
24. J.-S. Kim et al., "Visual and kinesthetic locomotor imagery training integrated with auditory step rhythm for walking performance of patients with chronic stroke." Clinical rehabilitation, vol. 25, no. 2, pp. 134-45, Mar. 2011.