Hand Neuro-Motor Characterization and Motor Intention Decoding in Duchenne Muscular Dystrophy

Kostas Nizamis

doi:10.3990/1.9789036547833

Hand Neuro-Motor Characterization and Motor Intention Decoding in Duchenne Muscular Dystrophy

Kostas Nizamis

Research output: Thesis › PhD Thesis - Research UT, graduation UT

516 Downloads (Pure)

Abstract

The hand is a very complex and versatile tool, which allows humans to interact with their immediate environment, engage in daily life activities and socialize. Individuals with Duchenne muscular dystrophy (DMD), experience years of deteriorated hand function, leading to severe dependence on caregivers. Robotic exoskeletons can provide a feasible solution for the active hand support of individuals with DMD. My work describes the development of a hand exoskeleton that meets the specific needs of individuals with DMD, in order to raise their quality of life and social participation and acceptance. To this end, in the Symbionics project we developed the SymbiHand orthosis; an active wearable hand exoskeleton for people with DMD. My role in this project was the characterization of the hand neuro-motor function in DMD and the development and application of robust hand motor intention decoding, for the control of the SymbiHand.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	Koopman, Bart F.J.M., Supervisor Sartori, Massimo, Co-Supervisor
Thesis sponsors	Netherlands Organisation for Scientific Research Hankamp Rehab Festo AG & Co. KG Duchenne Parent Project Spieren voor Spieren Twente Medical System International B.V.
Award date	20 Jun 2019
Place of Publication	Enschede
Edition	1st
Publisher	University of Twente
Print ISBNs	978-90-365-4783-3
Electronic ISBNs	978-90-365-4783-3
DOIs	https://doi.org/10.3990/1.9789036547833
Publication status	Published - 28 May 2019

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10.3990/1.9789036547833Licence: CC BY-NC

PhD Thesis Kostas NizamisFinal published version, 7.74 MBLicence: CC BY-NC

6 Participating in a conference, workshop, ...
6 Examination
2 Organising a conference, workshop, ...
1 Invited talk
More
- 1 Oral presentation

The development of a hand exoskeleton for people with Duchenne muscular dystrophy
Nizamis, K. (Invited speaker)
15 Sept 2022 → 17 Sept 2022
Activity: Talk or presentation › Invited talk
SAN 2022
Nizamis, K. (Participant)
15 Sept 2022 → 17 Sept 2022
Activity: Participating in or organising an event › Participating in a conference, workshop, ...
3rd Congress on NeuroRehabilitation and Neural Repair 2019
Nizamis, K. (Participant)
22 May 2019 → 24 May 2019
Activity: Participating in or organising an event › Participating in a conference, workshop, ...

Raw data collected for the study of: Characterization of forearm high-density electromyograms during wrist-hand tasks in individuals with Duchenne Muscular Dystrophy
Nizamis, K. (Creator), 4TU.Centre for Research Data, 18 Dec 2019
DOI: 10.4121/uuid:f252f933-90be-4543-9c13-3c4efe208052, https://data.4tu.nl/articles/_/12718697/1
Dataset
A case study with Symbihand: An SEMG-controlled electrohydraulic hand orthosis for induviduals with Duchenne Muscular Dystrophy
Nizamis, K. (Creator), Bos, R. (Contributor), Koopman, B. F. J. M. (Contributor), Herder, J. L. (Contributor), Sartori, M. (Contributor) & Plettenburg, D. (Creator), IEEE, 13 Mar 2019
DOI: 10.21227/gerz-8s29, https://ieee-dataport.org/documents/case-study-symbihand-semg-controlled-electrohydraulic-hand-orthosis-individuals-duchenne
Dataset
Dataset: A Novel Setup and Protocol to Measure the Range of Motion of the Wrist and the Hand
Nizamis, K. (Creator), MDPI, 23 Aug 2018
DOI: 10.3390/s18103230, https://www.mdpi.com/1424-8220/18/10/3230
Dataset

7 Article
4 Poster
2 Conference contribution
1 Chapter

Real-time myoelectric control of wrist/hand motion in Duchenne muscular dystrophy: A case study
Nizamis, K., Ayvaz, A., Rijken, N. H. M., Koopman, B. F. J. M. & Sartori, M., 6 Apr 2023, In: Frontiers in robotics and AI. 10, 1100411.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
48 Downloads (Pure)
A case study with SymbiHand: An sEMG-controlled electrohydraulic hand orthosis for individuals with Duchenne muscular dystrophy
Bos, R. A., Nizamis, K., Koopman, B. F. J. M., Herder, J. L., Sartori, M. & Plettenburg, D. H., 1 Jan 2020, In: IEEE transactions on neural systems and rehabilitation engineering. 28, 1, p. 258-266
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
27 Citations (Scopus)

140 Downloads (Pure)
Characterization of Forearm Muscle Activation in Duchenne Muscular Dystrophy via High-Density Electromyography: A Case Study on the Implications for Myoelectric Control
Nizamis, K., Rijken, N. H. M., van Middelaar, R., Neto, J., Koopman, B. F. J. M. & Sartori, M., 15 Apr 2020, In: Frontiers in neurology. 11, 231.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
18 Citations (Scopus)

91 Downloads (Pure)

Cite this

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title = "Hand Neuro-Motor Characterization and Motor Intention Decoding in Duchenne Muscular Dystrophy",

abstract = "The hand is a very complex and versatile tool, which allows humans to interact with their immediate environment, engage in daily life activities and socialize. Individuals with Duchenne muscular dystrophy (DMD), experience years of deteriorated hand function, leading to severe dependence on caregivers. Robotic exoskeletons can provide a feasible solution for the active hand support of individuals with DMD. My work describes the development of a hand exoskeleton that meets the specific needs of individuals with DMD, in order to raise their quality of life and social participation and acceptance. To this end, in the Symbionics project we developed the SymbiHand orthosis; an active wearable hand exoskeleton for people with DMD. My role in this project was the characterization of the hand neuro-motor function in DMD and the development and application of robust hand motor intention decoding, for the control of the SymbiHand.",

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N2 - The hand is a very complex and versatile tool, which allows humans to interact with their immediate environment, engage in daily life activities and socialize. Individuals with Duchenne muscular dystrophy (DMD), experience years of deteriorated hand function, leading to severe dependence on caregivers. Robotic exoskeletons can provide a feasible solution for the active hand support of individuals with DMD. My work describes the development of a hand exoskeleton that meets the specific needs of individuals with DMD, in order to raise their quality of life and social participation and acceptance. To this end, in the Symbionics project we developed the SymbiHand orthosis; an active wearable hand exoskeleton for people with DMD. My role in this project was the characterization of the hand neuro-motor function in DMD and the development and application of robust hand motor intention decoding, for the control of the SymbiHand.

AB - The hand is a very complex and versatile tool, which allows humans to interact with their immediate environment, engage in daily life activities and socialize. Individuals with Duchenne muscular dystrophy (DMD), experience years of deteriorated hand function, leading to severe dependence on caregivers. Robotic exoskeletons can provide a feasible solution for the active hand support of individuals with DMD. My work describes the development of a hand exoskeleton that meets the specific needs of individuals with DMD, in order to raise their quality of life and social participation and acceptance. To this end, in the Symbionics project we developed the SymbiHand orthosis; an active wearable hand exoskeleton for people with DMD. My role in this project was the characterization of the hand neuro-motor function in DMD and the development and application of robust hand motor intention decoding, for the control of the SymbiHand.

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DO - 10.3990/1.9789036547833

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-4783-3

PB - University of Twente

CY - Enschede

ER -

Hand Neuro-Motor Characterization and Motor Intention Decoding in Duchenne Muscular Dystrophy

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