59 documents found, page 1 of 6
Effectiveness of an mHealth-based impact exercise program for bone health in po...
Sañudo, Borja; Reverte-Pagola, Gonzalo; Maher, Carol; Godino, Job; Carrasco, Luis; Oviedo, Miguel Ángel; Feria, Adrián; Sánchez-Trigo, HoracioFunding Information: This study was funded by the Ministry of Science and Innovation of Spain under the State Plan for Scientific and Technical Research and Innovation 2021–2023, through the Research-Oriented Projects program (PID2022 - 142316OB-I00). Name and contact information for the trial sponsor (Universidad de Sevilla, bsancor@us.es). J.P. is supported and has received funding from the Spanish Ministerio...
Correlation Between Pain Intensity and Trunk Sway in Seated Posture Among Offic...
Oliosi, Eduarda; Júlio, Afonso Caetano; Silva, Luís; Probst, Phillip; Vilas-Boas, João Paulo; Pinheiro, Ana Rita; Gamboa, HugoFunding Information: This study was partially funded by the Portuguese Foundation for Science and Technology (FCT) through the project PREVOCUPAI (DSAIPA/AI/0105/2019). This work also received support provided by the FCT, I.P., and the European Union under the project UIDB/05913/2020—Centre for Research, Education, Innovation, and Intervention in Sport (https://doi.org/10.54499/UIDB/05913/2020). P. Probst was s...
Application of wearable technology for the ergonomic risk assessment of healthc...
Sabino, Inês; Fernandes, Maria do Carmo; Cepeda, Cátia; Quaresma, Cláudia; Gamboa, Hugo; Nunes, Isabel L.; Gabriel, Ana TeresaFunding Information: The authors acknowledge Fundação para a Ciência e a Tecnologia (FCT-MCTES) for its financial support via the project UIDP/00667/2020 and UIDB/00667/2020 (UNIDEMI). Research was also supported by Fundação para a Ciência e a Tecnologia through research Grants UIDB/FIS/04559/2020 and UIDP/FIS/04559/2020 (LIBPhys) and LASI-LA/P/0104/2020 (LASI), from FCT/MCTES, Portugal. Publisher Copyright: © ...
Cleaning ECG with Deep Learning
Dias, Mariana; Probst, Phillip; Silva, Luís M.; Gamboa, HugoFunding Information: Open access funding provided by FCT|FCCN (b-on). This work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program. Publisher Copyright: © The Au...
Deep learning for ECG classification
Narotamo, Hemaxi; Dias, Mariana; Santos, Ricardo; Carreiro, André V.; Gamboa, Hugo; Silveira, MargaridaPublisher Copyright: © 2024 The Author(s); The improved diagnosis of cardiovascular diseases (CVD) from electrocardiograms (ECG) may help prevent their severity. Since Deep Learning (DL) became popular, several DL methods have been developed for ECG classification. In this work, we compare how different methods for ECG signal representation perform in the multi-label classification of CVDs, including recent att...
Exploring the Real-Time Variability and Complexity of Sitting Patterns in Offic...
Oliosi, Eduarda; Júlio, Afonso; Probst, Phillip; Silva, Luís M.; Vilas-Boas, João Paulo; Pinheiro, Ana Rita; Gamboa, HugoPublisher Copyright: © 2024 by the authors.; Chronic spinal pain (CSP) is a prevalent condition, and prolonged sitting at work can contribute to it. Ergonomic factors like this can cause changes in motor variability. Variability analysis is a useful method to measure changes in motor performance over time. When performing the same task multiple times, different performance patterns can be observed. This variabi...
Flexographic printed microwave-assisted grown zinc oxide nanostructures for sen...
Morais, Maria; Carlos, Emanuel; Rovisco, Ana; Calmeiro, Tomás; Gamboa, Hugo; Fortunato, Elvira; Martins, Rodrigo; Barquinha, PedroFunding Information: The authors acknowledge the SUPERIOT project which had received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under grant agreement no 101096021, including funding under the UK government's Horizon Europe funding guarantee. Publisher Copyright: © 2024 The Royal Society of Chemistry.; The de...
Evaluation of uncertainty quantification methods in multi-label classification
Barandas, Marília; Famiglini, Lorenzo; Campagner, Andrea; Folgado, Duarte; Simão, Raquel; Cabitza, Federico; Gamboa, HugoFunding Information: This work was supported by European funds through the Recovery and Resilience Plan, project ”Center for Responsible AI”, project number C645008882-00000055 . Publisher Copyright: © 2023 The Author(s); Artificial Intelligence (AI) use in automated Electrocardiogram (ECG) classification has continuously attracted the research community's interest, motivated by their promising results. Despite...
Cardiorespiratory Response to Workload Volume and Ergonomic Risk
Furk, Dania; Silva, Luís; Dias, Mariana; Fujão, Carlos; Probst, Phillip; Liu, Hui; Gamboa, HugoFunding Information: This work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the ERDF\u2014European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects). Publisher Copyright: © 2024 b...
Taxonomy and Real-Time Classification of Artifacts During Biosignal Acquisition
Liu, Hui; Zhang, Shiyao; Gamboa, Hugo; Xue, Tingting; Zhou, Congcong; Schultz, TanjaPublisher Copyright: © 2001-2012 IEEE. This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by the Ethics Committee, College of Biomedical Engineering and Instrument Science, Zhejiang University; This article investigates electrocardiogram (ECG) acquisition artifacts often occurring in experiments due to human negligence or e...