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DC Field | Value | Language |
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dc.contributor.author | Falzon, Owen | - |
dc.contributor.author | Ciantar, Annelie | - |
dc.contributor.author | Sammut, Lara | - |
dc.contributor.author | Schembri, Martina | - |
dc.contributor.author | Muscat Baron, Yves | - |
dc.contributor.author | Calleja-Agius, Jean | - |
dc.contributor.author | Demicoli, Pierre | - |
dc.contributor.author | Camilleri, Kenneth P. | - |
dc.date.accessioned | 2020-07-14T10:46:39Z | - |
dc.date.available | 2020-07-14T10:46:39Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Falzon, O., Ciantar, A., Sammut, L., Schembri, M., Baron, Y. M., Calleja-Agius, J., ... & Camilleri, P. K. (2018, July). Principal component analysis of dynamic thermography data from pregnant and non-pregnant women. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5664-5667). IEEE. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/58723 | - |
dc.description.abstract | In this work we propose a novel approach for the analysis of dynamic thermography data based on the application of principal component analysis to thermal video data. The proposed approach is applied to thermal video recordings of the abdominal region of pregnant and non-pregnant female participants, and reveals consistent temperature trends across participants that to date have not been reported. Both for the pregnant and non-pregnant participants, the first principal component was found to describe approximately 80% of the total variance, and when combined, the first three principal components explained more than 90% of the total variance. The presence of consistent temporal components across participants is indicative of common passive as well as active underlying mechanisms that give rise to the observed temperature patterns. The outcome of this investigation supports further development and application of the proposed method in obstetrics and other medical fields. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Pregnant women | en_GB |
dc.subject | Medical thermography | en_GB |
dc.subject | Body temperature -- Measurement | en_GB |
dc.title | Principal component analysis of dynamic thermography data from pregnant and non-pregnant women | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | en_GB |
dc.bibliographicCitation.conferenceplace | Honolulu, USA, 18-21/07/2018 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/EMBC.2018.8513497 | - |
Appears in Collections: | Scholarly Works - FacM&SAna |
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Principal_component_analysis_of_dynamic_thermography_data_from_pregnant_and_non-pregnant_women_2018.pdf Restricted Access | 2.03 MB | Adobe PDF | View/Open Request a copy |
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