Activities per year
Duchenne muscular Dystrophy (DMD) Is a progressive muscle degenerative disease. Active hand assistive devices, can improve the quality of life of people with DMD. Such devices show a rejection rate due to complexity. Our hypothesis is, that a simple orthosis might prove more functional and realistic in assisting people with DMD. To investigate, we developed a portable setup that provides various visual stimuli and records the response of the subjects' fingers through a mouse clicking task. Six LEDs served as visual stimuli. The subjects' responses were obtained through mechanical interaction with two vertical mice. Different combinations of frequencies and numbers of stimuli were tested with 8 healthy subjects and one with DMD. Performance was evaluated in terms of information transfer rate (ITR), pattern accuracy and perceived workload. The outcome shows that lower complexity results in lower ITR and lower workload for all subjects. While for healthy subjects, maximum ITR was 4.3 bits/s, for DMD maximum ITR was 2.5 bits/s. Both maxima were achieved at the same trial (3 fingers at 2 Hz). This trial agrees with a pareto optimization analysis of ITR with respect to workload. The results support our hypothesis for a simple yet functional solution. Furthermore healthy subjects and the individual with DMD, in principal show similar finger control, albeit with lower absolute performance.
|Title of host publication||2017 International Conference on Rehabilitation Robotics (ICORR)|
|Publication status||Published - 15 Aug 2017|
|Event||IEEE 15th International Conference on Rehabilitation Robotics, ICORR 2017 - QEII Centre, London, United Kingdom|
Duration: 17 Jul 2017 → 20 Jul 2017
Conference number: 15
|Conference||IEEE 15th International Conference on Rehabilitation Robotics, ICORR 2017|
|Abbreviated title||ICORR 2017|
|Period||17/07/17 → 20/07/17|
FingerprintDive into the research topics of 'Quantification of Information Transfer Rate of the Human Hand during a Mouse Clicking Task with Healthy Adults and One Adult with Duchenne Muscular Dystrophy'. Together they form a unique fingerprint.
IEEE 15th International Conference on Rehabilitation Robotics, ICORR 2017
Konstantinos Nizamis (Participant)17 Jul 2017 → 20 Jul 2017
Activity: Participating in or organising an event › Participating in a conference, workshop, ...
Quantifications Of Information Transfer Rate In Humans
Arno Stienen (Examiner), Konstantinos Nizamis (Examiner) & Jan Johannes de Jong (Examiner)24 Aug 2016
Evaluation of the cognitive-motor performance of adults with Duchenne Muscular Dystrophy in a hand-related taskNizamis, K., Schutte, W., Grutters, J. J., Goseling, J., Rijken, N. H. M. & Koopman, B. F. J. M., 31 Jan 2020, In: PLoS ONE. 15, 1, p. 1-17 17 p., e0228128.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen AccessFile
Hand Neuro-Motor Characterization and Motor Intention Decoding in Duchenne Muscular DystrophyNizamis, K., 28 May 2019, 1st ed. Enschede: University of Twente. 230 p.
Research output: Thesis › PhD Thesis - Research UT, graduation UTOpen AccessFile442 Downloads (Pure)