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A Laser Dot Tracking Method for the Assessment of Sensorimotor Function of the Hand
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, Technological Educational Institute of Epirus, Arta, Greece.
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.ORCID iD: 0000-0003-3901-0364
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9701-4203
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2017 (English)In: 2017 25th Mediterranean Conference on Control and Automation, MED 2017, Piscataway. NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 217-222, article id 7984121Conference paper, Published paper (Refereed)
Abstract [en]

Assessment of sensorimotor function is crucial during the rehabilitation process of various physical disorders, including impairments of the hand. While moment performance can be accurately assessed in movement science laboratories involving highly specialized personnel and facilities there is a lack of feasible objective methods for the general clinic. This paper describes a novel approach to sensorimotor assessment using an intuitive test and a specifically tailored image processing pipeline for the quantification of the test. More specifically the test relies on the patient being instructed on following a zig-zag pattern using a handled laser pointer. The movement of the pointer is tracked using image processing algorithm capable of automating the whole procedure. The method has potential for feasible objective clinical assessment of the hand and other body parts

Place, publisher, year, edition, pages
Piscataway. NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 217-222, article id 7984121
Series
Mediterranean Conference on Control and Automation, ISSN 2325-369X
National Category
Signal Processing Other Health Sciences
Research subject
Signal Processing; Health Science
Identifiers
URN: urn:nbn:se:ltu:diva-64955DOI: 10.1109/MED.2017.7984121ISI: 000426926300036Scopus ID: 2-s2.0-85028511995ISBN: 9781509045334 (electronic)OAI: oai:DiVA.org:ltu-64955DiVA, id: diva2:1129605
Conference
2017 25th Mediterranean Conference on Control and Automation (MED), Valletta, Malta, July 3-6, 2017
Available from: 2017-08-04 Created: 2017-08-04 Last updated: 2023-05-06Bibliographically approved

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Röijezon, UlrikFaleij, RagnarGeorgoulas, GeorgeMansouri, Sina SharifNikolakopoulos, George

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CiteExportLink to record
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