Arnaldo Guimarães Batista

Dept. of Electrical Engineering of the Faculty of Sciences of Technology of the Nova University of Lisbon

 (email)

Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram

Citation:
Martins, Daniela, Arnaldo Batista, Helena Mouriño, Sara Russo, Catarina Reis, Fátima Serrano, and Manuel Ortigueira. "Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram." Sensors.19 (2022).
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Recent Publications

  • On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals
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  • EEG signal pre-processing for segmentation into significant regions, major artefacts removal, and uncertainty reduction in epileptic seizure characterization
  • Peak Detection and HRV Feature Evaluation on ECG and PPG Signals
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