Cited by 23Prosthetics and Rehabilitation RoboticsMuscle activation and electromyography studiesStroke Rehabilitation and Recovery

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Development of an Exoskeleton to Support Eating Movements in Patients with Essential Tremor

Open access
Matsumoto, Yuya, Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo 169-8555, Japan, Seki, Masatoshi, Ando, Takeshi, Kobayashi, Yo, Nakashima, Yasutaka, Iijima, Hiroshi, Nagaoka, Masanori, Fujie, Masakatsu G., MONOZUKURI Mechatronics Laboratory, KIKUCHI SEISAKUSHO Co., Ltd., Tokyo, Japan, Robotics Development Center, Corporate Manufacturing Innovation Division, Panasonic Corporation, Osaka, Japan, Rehabilitation Engineering Department, Yokohama Rehabilitation Center, Kanagawa, Japan, Department of Rehabilitation Medicine, Graduate School, Juntendo University, Tokyo, Japan·2013·Journal of Robotics and Mechatronics

Abstract

Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged in actions and when maintaining a posture. Such patients face serious difficulties in performing such daily living activities as eating, drinking, and writing. We have been developing an electromyogram-controlled exoskeleton to suppress tremors and support the eating movements of these patients. This exoskeleton is designed to suppress tremors and support voluntary movement at the elbow in terms of flexion and extension: movement of the elbow is essential in eating movements. In this study, we examined the effectiveness of our prototype exoskeleton at suppressing tremors. Our goal was to answer two questions: To what extent are the oscillations suppressed when wearing the exoskeleton? Is the exoskeleton able to suppress the oscillations sufficiently to allow eating movements? We were able to confirm experimentally that our exoskeleton can effectively suppress tremors to support eating movements.

Overview

Integrity signals

Registry

Crossref · 10.20965/jrm.2013.p0949

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Fujie exoskeleton reduced tremor by 50-80% compared to not wearing the exoskeleton when intention recognition was simulated with a switch triggered by an essential tremor patient.

    “Instead, they tested the tremor suppression simulating this recognition with a switch triggered by an ET patient (56), obtaining that the tremor was reduced by 50–80% compared to not wearing the exoskeleton.”

    From A Review on Wearable Technologies for Tremor Suppression (2021) · cites this paper as [56]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 20

  1. R. Elble and W. Koller, “Tremor. Baltimore,” MD: Johns Hopkins Univ. Press, 1990.
  2. E. Rocon, J. Belda-Lois, J. Sanchez-Lancuesta, and J. L. Pons, “Pathological tremor management : Modeling, compensatory technology and evaluation,” Technol. Disability, Vol.16, pp. 13-18, 2004. · DOI · Paper page
  3. A. P. L. Bo, P. Poignet, D. Zhang, and W. T. Ang, “FES-controlled co-contraction strategies for pathological tremor compensation,” The 2009 IEEE/RSJ IROS, pp. 1633-1638, 2009. · DOI
  4. A. P. L. Bo and P. Poignet, “Tremor attenuation using FES-based joint stiffness control,” IEEE Int. Conf. on Robotics and Automation, pp. 2928-2933, 2010.
  5. J. A. Gallego, E. Rocon, and J. L. Pons, “Estimation of instantaneous tremor parameters for FES-based tremor suppression,” IEEE Int. Conf. on Robotics and Automation, pp. 1633-1638, 2010. · DOI
  6. K. Yano, E. Ohara, S. Horihata, T. Aoki, and Y. Nishimoto, “Development of Tremor Suppression Control System Using Adaptive Filter and Its Application to Meal-assist Robot,” Trans. of the Society of Instrument and Control Engineers, Vol.45, No.12, pp .638-645, 2009. · DOI
  7. T. Komatsuzaki, Y. Iwata, and K. Ogawa, “A Study on Vibration Control of Physiological Tremor using Dynamic Absorber,” Trans. of the Japan Society of Mechanical Engineering, Part C, Vol74, No.3, pp. 679-685, 2008. · DOI
  8. Y. Hasegawa, Y. Mikami, K. Watanabe, Z. Firouzimehr, and Y. Sankai, “Wearable handling support system for paralyzed patient,” IEEE/RSJ IROS, pp. 741-746, 2008. · DOI
  9. K. Kiguchi, Y. Imada, and M. Liyanage, “EMG-Based Neuro-Fuzzy Control of a 4DOF Upper-Limb Power-Assist Exoskelton,” 29th IEEE EMBS, pp. 3040-3043, 2007.
  10. T. Ando, J. Okamoto, and M. G. Fujie, “Intelligent corset to support rollover of cancer bone metastasis patients,” The 2008 IEEE/RSJ IROS, pp. 723-728, 2008. · DOI
  11. ED. Louis, K. Marder, L. Cote, D. Wilder, MX. Tang, R. Lantiqua, B. Gurland, and R. Mayeux,“Prevalence of a History of Shaking in Persons 65 years of Age and Older: Diagnostic and Functional Correlates,” Mov. Disord., Vol.11, No.1, pp. 63-69, January 1996. · DOI
  12. J. Kotovsky and M.J. Rosen, “A wearable tremor-suppression orthosis,” J. of Rehabilitation Research and Development, Vol.35, No.4, October 1998, pp. 373-387.
  13. M. Rosen, A. Arnold, I. Baiges, M.Aisen, and S. Eglowstein, “A controlled-energy-dissipation orthosis for functional suppression of intention tremors,” J. of Rehabilitation Research and Development, Vol.32, No.1, pp. 1-16, 1995.
  14. M. Seki, Y. Matsumoto, T. Ando, Y. Kobayashi, H. Iijima, M. Nagaoka, and M. G. Fujie, “Development of Essential Tremor Noise Suppression Filter for Voluntary Movement Extraction from surface EMG,” 2011 IEEE EMBC, 2011.
  15. M. Seki, Y. Matsumoto, T. Ando, Y. Kobayashi, H. Iijima, M. Nagaoka, and M. G. Fujie, “Development of Robotic Upper Limb Orthosis with Tremor Suppressiblity and Elbow Joint Movability,” 2011 IEEE SMC, 2011 · DOI
  16. M. Seki, Y. Matsumoto, T. Ando, Y. Kobayashi, H. Iijima, M. Nagaoka, and M. G. Fujie, “The weight load inconsistency effect on voluntary movement recognition of essential tremor patient,” Int. Conf. on Robotics and Biomimetics, 2011. · DOI
  17. Y. Matsumoto, M. Seki, T. Ando, Y. Kobayashi, H. Iijima, M. Nagaoka, and M. G. Fujie, “Analysis of EMG Signals of Patients with Essential Tremor Focusing on the Change of Tremor Frequency,” Annual Int. Conf. of IEEE Engineering in Medicine and Biology Society, Vol.24 No.27, pp. 2244-2250, August 28 to September 2, 2012. · DOI
  18. P. D. Faghri, M. M. Rodgers, R. M. Glaser, J. G. Bors, C. Ho, and P. Akuthota, “The effects of functional electrical stimulation on shoulder subluxation arm function recovery, and shoulder pain in hemiplegic stroke patients,” Physical Medicine and Rehabilitation, Vol.75, No.1, pp. 73-79, 1994. · DOI
  19. J. H. Burridge, P. N. Taylor, S. A. Hagen, D. E. Wood, and I. D. Swain, “The effects of common peroneal stimulation on the effect and speed of walking: a randomized controlled trial with chronic hemiplegic patients,” Clinical Rehabilitation, Vol.11, No.3, pp. 201-210, August 1997. · DOI
  20. A. I. R. Kottink, L. J. M. Oostendorp, J. H. Buurke, and M. J. IJzerman, “The orthotic effect of functional electrical stimulation on the improvement of walking in stroke patients with a dropped foot: a systematic review,” Artificial Organs, Vol.28, Issue 6, , pp. 577-586, June 2004 · DOI

Cited by

Sorted by citations

  • A Review on Wearable Technologies for Tremor Suppression

    Lora-Millan, J. S., Delgado-Oleas, G., Benito-León, J., & Rocon, E. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.700600 · Cited by 62

    “Instead, they tested the tremor suppression simulating this recognition with a switch triggered by an ET patient (56), obtaining that the tremor was reduced by 50–80% compared to not wearing the exoskeleton.”
    BackgroundMethodInfluential

Metadata

Authors
Matsumoto, Y., Waseda University, 3.-4.-1. O., Seki, M., Ando, T., Kobayashi, Y., Nakashima, Y., Iijima, H., Nagaoka, M., Fujie, M. G., MONOZUKURI Mechatronics Laboratory, K. S. C., Robotics Development Center, C. M. I. D., Rehabilitation Engineering Department, Y. R. C., & Department of Rehabilitation Medicine, G. S.
Affiliations
  • Waseda University (JP)
  • Juntendo University (JP)
Venue
Journal of Robotics and Mechatronics
Published
2013-12-20
Volume
25
Issue
6
Pages
949-958
ISSN
  • 0915-3942 (ISSN-L)
  • 1883-8049
OpenAlex
W2574299146
Cited by
23
References
3
Citations by year
2025: 2 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 7 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 1 · 2014: 3
FWCI
0.74
Type
journal article
Language
en
Open access
Licence
cc-by-nd
Locations
Journal of Robotics and Mechatronics (publishedVersion, cc-by-nd)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Keywords
essential tremor, exoskeleton, tremor suppression, elbow flexion and extension, activities of daily living, assistive robotics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review