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Metric learning for Parkinsonian identification from IMU gait measurements.

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Title: Metric learning for Parkinsonian identification from IMU gait measurements.
Authors: Cuzzolin F; Artificial Intelligence and Vision Group, Department of Computing and Communication Technologies, Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, UK. Electronic address: fabio.cuzzolin@brookes.ac.uk., Sapienza M; Torr Vision Group, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK., Esser P; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: pesser@brookes.ac.uk., Saha S; Artificial Intelligence and Vision Group, Department of Computing and Communication Technologies, Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, UK. Electronic address: suman.saha-2014@brookes.ac.uk., Franssen MM; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: marloes.franssen-2011@brookes.ac.uk., Collett J; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: jcollett@brookes.ac.uk., Dawes H; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: hdawes@brookes.ac.uk.
Source: Gait & posture [Gait Posture] 2017 May; Vol. 54, pp. 127-132. Date of Electronic Publication: 2017 Feb 27.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Sciencem Country of Publication: England NLM ID: 9416830 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2219 (Electronic) Linking ISSN: 09666362 NLM ISO Abbreviation: Gait Posture Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Cuzzolin+F%22">Cuzzolin F</searchLink>; Artificial Intelligence and Vision Group, Department of Computing and Communication Technologies, Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, UK. Electronic address: fabio.cuzzolin@brookes.ac.uk.<br /><searchLink fieldCode="AU" term="%22Sapienza+M%22">Sapienza M</searchLink>; Torr Vision Group, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.<br /><searchLink fieldCode="AU" term="%22Esser+P%22">Esser P</searchLink>; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: pesser@brookes.ac.uk.<br /><searchLink fieldCode="AU" term="%22Saha+S%22">Saha S</searchLink>; Artificial Intelligence and Vision Group, Department of Computing and Communication Technologies, Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, UK. Electronic address: suman.saha-2014@brookes.ac.uk.<br /><searchLink fieldCode="AU" term="%22Franssen+MM%22">Franssen MM</searchLink>; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: marloes.franssen-2011@brookes.ac.uk.<br /><searchLink fieldCode="AU" term="%22Collett+J%22">Collett J</searchLink>; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: jcollett@brookes.ac.uk.<br /><searchLink fieldCode="AU" term="%22Dawes+H%22">Dawes H</searchLink>; Movement Science Group, Oxford Institute of Nursing, Midwifery, and Allied Health Research, Oxford Brookes University, Gipsy Lane, Headington, Oxford OX3 0BP, UK. Electronic address: hdawes@brookes.ac.uk.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Sciencem%22">Elsevier Sciencem </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9416830 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2219 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209666362%22">09666362 </searchLink><i>NLM ISO Abbreviation: </i>Gait Posture <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.gaitpost.2017.02.012
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              Text: 2017 May
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