Publications

Export 57 results:
Sort by: [ Author (Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
Gomes, R., AG Batista, and M. D. Ortigueira. "Railscan: A Tool for the Detection and Quantification of Rail Corrugation." Doctoral Conference on Computing, Electrical and Industrial Systems. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series, 2010.
F
F.E, Cardoso, Batista; Arnaldo, V. Vassilenko, F. Serrano, and M. Ortigueira. "Idle Tone Detection in Biomedical Signals Using Time-Frequency Techniques." IFIP Advances in Information and Communication Technology. Ed. Technological Innovation Life Improvement. DoCEIS for 2020. Springer, 2020.
E
Esgalhado, Filipa, Arnaldo Batista, Helena Mouriño, Sara Russo, Catarina Palma R. dos Reis, Fátima Serrano, Valentina Vassilenko, and Manuel Ortigueira. "Automatic Contraction Detection Using Uterine Electromyography." Applied Sciences. 10.20 (2020): 14.
Esgalhado, Filipa, Arnaldo Batista, Valentina Vassilenko, Sara Russo, and Manuel Ortigueira. "Peak Detection and HRV Feature Evaluation on ECG and PPG Signals." Symmetry. 6.14 (2022).
Esgalhado, Filipa, Arnaldo Batista, Helena Mouriño, Sara Russo, Catarina Palma dos Reis, Fátima Serrano, Valentina Vassilenko, and Manuel Ortigueira. "Uterine contractions clustering based on electrohysterography." Computers in Biology and Medicine. 123.June (2020).
Esgalhado, Filipa, Valentina Vassilenko, Arnaldo Batista, and Manuel Ortigueira. "On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals." Computers. 11 (12) (2022): 117.
Esgalhado, F., A. Batista, V. Vassilenko, and M. Ortigueira. "Real-Time PPG-Based HRV Implementation Using Deep Learning and Simulink." Technological Innovation for Digitalization and Virtualization. Springer, Cham., 2022.
Esgalhado, Filipa, Fernandes; Beatriz, Valentina Vassilenko, Batista; Arnaldo, and Sara Russo. "The Application of Deep Learning Algorithms for PPG Signal Processing and Classification." Computers 2021. Special Issue Computing, Electrical and Industrial Systems. 10, 158 (2021).the_application_of_deep_learning_algorithms_for_ppg_signal.pdf
C
Costa, J. C., M. D. Ortigueira, and AG Batista. "ARMA Modelling of Sleep Spindles." Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems. Doceis, 2011.
Costa, J., Manuel D. Ortigueira, and Arnaldo Batista ARMA Modelling for Sleep Disorders Diagnose. Technological Innovation for the Internet of Things. Portugal: Springer IFIP AICT series, 2013.
Carvoeiras, P., M. J. Rodrigues, Batista A.G., and M. D. Ortigueira. "A Prototype software for the Diagnostic of Atrial fibrillation." XXIV Congresso Português de Cardiologia and Revista Portuguesa de Cardiologia. Vol. III. 2003.
Carneiro, M., AG Batista, and M. D. Ortigueira EEG artifact removal with ICA analysis. Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011., 2011.
Carlos, Matos, Batista Arnaldo, and Manuel Ortigueira. "FILTERS: Fractional vs Integer Order." Symposium on Fractional Signals and Systems. 2009.
Cardoso, E., AG Batista, R. Rodrigues, and M. D. Ortigueira. "A Contribution for the Automatic Sleep Classification Based on the Itakura-Saito Spectral Distance." 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series, 2010.
Cardoso, Filipa E., Valentina Vassilenko, Arnaldo Batista, Paulo Bonifácio, Sergio Rico Martin, Juan Muñoz-Torrero, and Manuel Ortigueira Improvements on Signal Processing Algorithm for the VOPITB Equipment. Doctoral Conference on Computing, Electrical and Industrial Systems. Springer, 2021. Abstract
n/a
Cardoso, N. V., AG Batista, and M. D. Ortigueira EEG Features Extraction for Sleep Classification and Spindle Detection . Doctoral Conference on Computing on Computing, Electrical and Industrial Systems., 2011.
B
Bigan, C., Besleaga; M, M. Zervakis, K. Michalopoulos, M. Woolfson, M. Ortigueira, A. Batista, R. Rato, M. Righi, U. Barcaro, A. Starita, Kenneth P. Camilleri, Simon G. Fabri, J. Muscat, and Tracey A. Camilleri EEG signal pre-processing for segmentation into significant regions, major artefacts removal, and uncertainty reduction in epileptic seizure characterization. BIOPATTERN Brain. Göteborg: Neoventor Medicinsk Innovation AB, 2006.
Batista, AG. "Programmable Cardiac Simulator ." 2nd Portuguese Congress of Biomedical Engineering. 1990.
Batista, Arnaldo Pregnancy Monitoring Using Uterine Electromyography: The Uterine Explorer Toolbox. Signal Processing and Monitoring in Labour (SPaM). Oxford, 2017.
Batista, Arnaldo. "Alvarez and Braxton-Hicks Waves in the Electrohysterogram: An Input for Pregnancy Monitoring." 4th Workshop on Signal Processing and Monitoring in Labour. TranslaTUM - Central Institute for Translational Cancer Research, Munich: TranslaTUM, 2022.
Batista, AG, J. M. Rodrigues, and M. D. Ortigueira. "Time-Frequency and Time-Scale Characterisation of the Beat-by-Beat High-Resolution Electrocardiogram." Sixth Portuguese Conference on Biomedical Engineering Proceedings. 2001.
Batista, Arnaldo, Nuno Barrento, Fernando Coito, and Manuel Ortigueira Patent: Quantitative Process for the Rail Corrugation Spacial and Spectral Classification. FCT-UNL, 2016.
Batista, Arnaldo G., Ricardo Cebola, Filipa Esgalhado, Sara Russo, Catarina Palma R. dos Reis, Fátima Serrano, Valentina Vassilenko, and Manuel Ortigueira. "The contractiongram: A method for the visualization of uterine contraction evolution using the electrohysterogram." Biomedical Signal Processing and Control. 67 (2021).
Batista, AG, and MJ English. "A Multiresolution Wavelet Method for Charaterization of Ventricular Late Potentials." Computers in Cardiology. 1996.
Batista, AG Electrocardiografia de Alta-Resolução: Evolução e Estado da Arte. Sessões Temáticas em Cardiopneumologia. Associação Portuguesa de Cardiopnemologistas, 2008.