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A survey of human shoulder functional kinematic representations
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, perception and learning, RPL. KTH, School of Engineering Sciences (SCI), Centres, BioMEx. Univ Gavle, Dept Elect Math & Nat Sci, Gavle, Sweden..ORCID iD: 0000-0002-5970-2985
Univ Gavle, Dept Elect Math & Nat Sci, Gavle, Sweden..
KTH, School of Engineering Sciences (SCI), Centres, BioMEx.ORCID iD: 0000-0001-5417-5939
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, perception and learning, RPL. KTH, School of Engineering Sciences (SCI), Centres, BioMEx.ORCID iD: 0000-0003-2078-8854
2019 (English)In: Medical and Biological Engineering and Computing, ISSN 0140-0118, E-ISSN 1741-0444, Vol. 57, no 2, p. 339-367Article, review/survey (Refereed) Published
Abstract [en]

In this survey, we review the field of human shoulder functional kinematic representations. The central question of this review is to evaluate whether the current approaches in shoulder kinematics can meet the high-reliability computational challenge. This challenge is posed by applications such as robot-assisted rehabilitation. Currently, the role of kinematic representations in such applications has been mostly overlooked. Therefore, we have systematically searched and summarised the existing literature on shoulder kinematics. The shoulder is an important functional joint, and its large range of motion (ROM) poses several mathematical and practical challenges. Frequently, in kinematic analysis, the role of the shoulder articulation is approximated to a ball-and-socket joint. Following the high-reliability computational challenge, our review challenges this inappropriate use of reductionism. Therefore, we propose that this challenge could be met by kinematic representations, that are redundant, that use an active interpretation and that emphasise on functional understanding.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2019. Vol. 57, no 2, p. 339-367
Keywords [en]
Kinematics, Robot-assisted rehabilitation, Human movement understanding, Human-robot interaction, Shoulder, MPSTER W T, 1965, Archives of physical medicine and rehabilitation, V46, P49 lsterlee Bart, 2014, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, V52, P283 hiele Andre, 2006, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, V14, P456 ibek Jason S., 2013, JOURNAL OF APPLIED BIOMECHANICS, V29, P609 rman Sigal, 2008, ROBOTICA, V26, P435 ren Alexandra, 2013, MANUAL THERAPY, V18, P473 adi Hippolite O., 2008, JOURNAL OF BIOMECHANICS, V41, P2144 cWilliams Bruce A., 2013, JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, V135, yer Patrick J., 2008, JOURNAL OF ORTHOPAEDIC SCIENCE, V13, P359 Xu, 2013, EXPERIMENTAL BRAIN RESEARCH, V231, P249
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-244109DOI: 10.1007/s11517-018-1903-3ISI: 000456747000001PubMedID: 30367391Scopus ID: 2-s2.0-85055874727OAI: oai:DiVA.org:kth-244109DiVA, id: diva2:1289782
Funder
VINNOVA, AAL 2013-6-042
Note

QC 20190219

Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-02-19Bibliographically approved

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Rakesh, KrishnanGutierrez-Farewik, ElenaSmith, Christian

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