Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy

Konstantinos Nizamis, J. Lobo Prat, Arvid Quintijn Leon Keemink, Raffaella Carloni, Arno Stienen, Hubertus F.J.M. Koopman

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)

    Abstract

    Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF. The interface switches between two horizontal and one vertical translations. Translations are proportionally controlled by EMG. The passive interaction torques measured between the arm and the active arm support, are used to make the robot's endpoint resemble a gimbal mechanism. Hence decreasing the endpoint's DOF from six to three by actively reducing the impedance of the rotational DOF. A preliminary evaluation of the control method has been carried out with one healthy subject, within a series of 2-D horizontal tracing and 3-D horizontal-vertical reaching tasks. A pilot study was also conducted with a boy with DMD controlling the device in a 2-D horizontal tracing task. Performance was evaluated in terms of path efficiency, smoothness, task completion rate and time. The results indicate that the control method is able to successfully detect the intention of the user and translate it into the intended movement. Furthermore, the reduction of the endpoint's DOF, results in a simple yet functional controller able to support natural movements of the arm.
    Original languageEnglish
    Title of host publicationIEEE International Conference on Rehabilitation Robotics
    Place of PublicationUSA
    PublisherIEEE ROBOTICS AND AUTOMATION SOCIETY
    Pages235-240
    Number of pages6
    ISBN (Print)978-1-4799-1808-9
    DOIs
    Publication statusPublished - Aug 2015
    EventIEEE 14th International Conference on Rehabilitation Robotics, ICORR 2015 - Nanyang Technological University, Singapore, Singapore
    Duration: 11 Aug 201514 Aug 2015
    Conference number: 14

    Publication series

    Name
    PublisherIEEE Robotics and Automation Society

    Conference

    ConferenceIEEE 14th International Conference on Rehabilitation Robotics, ICORR 2015
    Abbreviated titleICORR
    CountrySingapore
    CitySingapore
    Period11/08/1514/08/15

    Fingerprint

    Muscle
    Torque
    Switches
    Robots
    Controllers

    Keywords

    • METIS-315160
    • EWI-26691
    • IR-99028

    Cite this

    Nizamis, K., Lobo Prat, J., Keemink, A. Q. L., Carloni, R., Stienen, A., & Koopman, H. F. J. M. (2015). Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy. In IEEE International Conference on Rehabilitation Robotics (pp. 235-240). USA: IEEE ROBOTICS AND AUTOMATION SOCIETY. https://doi.org/10.1109/ICORR.2015.7281205
    Nizamis, Konstantinos ; Lobo Prat, J. ; Keemink, Arvid Quintijn Leon ; Carloni, Raffaella ; Stienen, Arno ; Koopman, Hubertus F.J.M. / Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy. IEEE International Conference on Rehabilitation Robotics. USA : IEEE ROBOTICS AND AUTOMATION SOCIETY, 2015. pp. 235-240
    @inproceedings{5635d92ff67346c0bdfda576f975cfa9,
    title = "Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy",
    abstract = "Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF. The interface switches between two horizontal and one vertical translations. Translations are proportionally controlled by EMG. The passive interaction torques measured between the arm and the active arm support, are used to make the robot's endpoint resemble a gimbal mechanism. Hence decreasing the endpoint's DOF from six to three by actively reducing the impedance of the rotational DOF. A preliminary evaluation of the control method has been carried out with one healthy subject, within a series of 2-D horizontal tracing and 3-D horizontal-vertical reaching tasks. A pilot study was also conducted with a boy with DMD controlling the device in a 2-D horizontal tracing task. Performance was evaluated in terms of path efficiency, smoothness, task completion rate and time. The results indicate that the control method is able to successfully detect the intention of the user and translate it into the intended movement. Furthermore, the reduction of the endpoint's DOF, results in a simple yet functional controller able to support natural movements of the arm.",
    keywords = "METIS-315160, EWI-26691, IR-99028",
    author = "Konstantinos Nizamis and {Lobo Prat}, J. and Keemink, {Arvid Quintijn Leon} and Raffaella Carloni and Arno Stienen and Koopman, {Hubertus F.J.M.}",
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    Nizamis, K, Lobo Prat, J, Keemink, AQL, Carloni, R, Stienen, A & Koopman, HFJM 2015, Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy. in IEEE International Conference on Rehabilitation Robotics. IEEE ROBOTICS AND AUTOMATION SOCIETY, USA, pp. 235-240, IEEE 14th International Conference on Rehabilitation Robotics, ICORR 2015, Singapore, Singapore, 11/08/15. https://doi.org/10.1109/ICORR.2015.7281205

    Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy. / Nizamis, Konstantinos; Lobo Prat, J.; Keemink, Arvid Quintijn Leon; Carloni, Raffaella; Stienen, Arno; Koopman, Hubertus F.J.M.

    IEEE International Conference on Rehabilitation Robotics. USA : IEEE ROBOTICS AND AUTOMATION SOCIETY, 2015. p. 235-240.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    AU - Nizamis, Konstantinos

    AU - Lobo Prat, J.

    AU - Keemink, Arvid Quintijn Leon

    AU - Carloni, Raffaella

    AU - Stienen, Arno

    AU - Koopman, Hubertus F.J.M.

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    N2 - Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF. The interface switches between two horizontal and one vertical translations. Translations are proportionally controlled by EMG. The passive interaction torques measured between the arm and the active arm support, are used to make the robot's endpoint resemble a gimbal mechanism. Hence decreasing the endpoint's DOF from six to three by actively reducing the impedance of the rotational DOF. A preliminary evaluation of the control method has been carried out with one healthy subject, within a series of 2-D horizontal tracing and 3-D horizontal-vertical reaching tasks. A pilot study was also conducted with a boy with DMD controlling the device in a 2-D horizontal tracing task. Performance was evaluated in terms of path efficiency, smoothness, task completion rate and time. The results indicate that the control method is able to successfully detect the intention of the user and translate it into the intended movement. Furthermore, the reduction of the endpoint's DOF, results in a simple yet functional controller able to support natural movements of the arm.

    AB - Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF. The interface switches between two horizontal and one vertical translations. Translations are proportionally controlled by EMG. The passive interaction torques measured between the arm and the active arm support, are used to make the robot's endpoint resemble a gimbal mechanism. Hence decreasing the endpoint's DOF from six to three by actively reducing the impedance of the rotational DOF. A preliminary evaluation of the control method has been carried out with one healthy subject, within a series of 2-D horizontal tracing and 3-D horizontal-vertical reaching tasks. A pilot study was also conducted with a boy with DMD controlling the device in a 2-D horizontal tracing task. Performance was evaluated in terms of path efficiency, smoothness, task completion rate and time. The results indicate that the control method is able to successfully detect the intention of the user and translate it into the intended movement. Furthermore, the reduction of the endpoint's DOF, results in a simple yet functional controller able to support natural movements of the arm.

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    BT - IEEE International Conference on Rehabilitation Robotics

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    Nizamis K, Lobo Prat J, Keemink AQL, Carloni R, Stienen A, Koopman HFJM. Switching Proportional EMG Control of a 3D Endpoint Arm Support for People with Duchenne Muscular Dystrophy. In IEEE International Conference on Rehabilitation Robotics. USA: IEEE ROBOTICS AND AUTOMATION SOCIETY. 2015. p. 235-240 https://doi.org/10.1109/ICORR.2015.7281205