Dr. Dulce Oliveira
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
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Academic Career Length
42Years (1985-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 June 2015 in Journal of Biomechanics
Journal Article
MSM.E.T. Silva
M.E.T. Silva
Dulce OliveiraTRThuane Da Roza
Thuane Da RozaFBFernanda Soofia Brandão
Fernanda Soofia BrandãoMPMarco Parente
Marco Parente
Renato Natal Jorge +1
31 October 2025 in JMIR AI
Journal Article
ECEduardo Carvalho
Eduardo Carvalho
Miguel Mascarenhas SaraivaFPFrancisca Pinheiro
Francisca PinheiroRBRicardo Correia Bezerra
Ricardo Correia BezerraSBSandra Balseiro
Sandra BalseiroNRNilza Alexandra Ramião
Nilza Alexandra Ramião +5
The adaptive nature of artificial intelligence (AI), with its ability to improve performance through continuous learning, offers substantial benefits across various sectors. However, current regulatory frameworks are not intended to accommodate this adaptive nature, and they have prolonged approval timelines, sometimes exceeding one year for some AI-enabled devices. This creates significant challenges for manufacturers who must deal with lengthy waits and submit multiple approval requests for AI-enabled device software functions as they are updated. In response, regulatory agencies like the US Food and Drug Administration (FDA) have introduced guidelines to better support the approval process for continuously evolving AI technologies. This article explores the FDA’s concept of predetermined change control plans and how they can streamline regulatory oversight by reducing the need for repeated approvals, while ensuring safety and compliance. This can help reduce the burden for regulatory bodies and decrease waiting times for approval decisions, therefore fostering innovation, increasing market uptake, and exploiting the benefits of artificial intelligence and machine learning technologies.
22 March 2016 in Biomechanics and Modeling in Mechanobiology
Journal Article
Dulce OliveiraMPMarco Parente
Marco ParenteBCBegoña Calvo
Begoña CalvoTMTeresa Mascarenhas
Teresa Mascarenhas
Renato Natal Jorge1 February 2016 in Journal of Biomechanics
Journal Article
Dulce OliveiraMPMarco Parente
Marco ParenteBCBegoña Calvo
Begoña CalvoTMTeresa Mascarenhas
Teresa Mascarenhas
Renato Natal Jorge1 August 2011
Conference Paper
SKSirvan Khalighi
Sirvan KhalighiTSTeresa Sousa
Teresa SousaDulce OliveiraGPGabriel Pires
Gabriel PiresUNUrbano J. Nunes
Urbano J. NunesIn this paper, a novel algorithm is proposed with application in sleep/awake detection and in multiclass sleep stage classification (awake, non rapid eye movement (NREM) sleep and REM sleep). In turn, NREM is further divided into three stages denoted here by S1, S2, and S3. Six electroencephalographic (EEG) and two electro-oculographic (EOG) channels were used in this study. The maximum overlap discrete wavelet transform (MODWT) with the multi-resolution Analysis is applied to extract relevant features from EEG and EOG signals. The extracted feature set is transformed and normalized to reduce the effect of extreme values of features. A set of significant features are selected by mRMR which is a powerful feature selection method. Finally the selected feature set is classified using support vector machines (SVMs). The system achieved 95.0% of average accuracy for sleep/awake detection. As concerns the multiclass case, the average accuracy of sleep stages classification was 93.0%.
8 December 2010 in Current Microbiology
Journal Article
Sanna SillankorvaDulce OliveiraAMAlexandra Moura
Alexandra Moura
MHMaria Henriques
Maria HenriquesAFAlberta Faustino
Alberta Faustino
JAJoana Azeredo
Joana Azeredo +1
About Me
Dulce Alves de Oliveira completed her Doctorate in Biomedical Engineering in 2016 at the Faculty of Engineering of the University of Porto (FEUP) and earned her MSc in Biomedical Engineering in 2008 from the University of Minho. She is an Invited Assistant Professor at FEUP and a Researcher at the Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI). She has published 32 articles in peer-reviewed journals and contributed to 7 book sections. Currently, she supervises 2 PhD theses and 5 MSc theses and has previously supervised 1 PhD thesis and 16 MSc theses. She has received prestigious awards and honors, including the EIC Pathfinder award, the THCS - Transforming Health and Care Systems Grant, and an FCT Project under the call Artificial Intelligence, Data Science and Cybersecurity of relevance to Public Administration, all in 2024. Recently, she took part in the University of Porto's Business Ideas Competition, iUP25k, and won 3rd place with the AI4BirthCare project, an innovation that aims to predict and prevent childbirth-related injuries, aiding medical decision-making. Additionally, she was awarded the FCT Scientific Employment Stimulus in 2020, and secured national funding for a research project in 2018.