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Alexandra-Maria Tautan
Alexandra-Maria Tautan
Adresă de e-mail confirmată pe upb.ro
Titlu
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Anul
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
AM Tăuțan, B Ionescu, E Santarnecchi
Artificial Intelligence in Medicine 117, 102081, 2021
882021
Signal Quality in Dry Electrode EEG and the Relation to Skin-electrode Contact Impedance Magnitude.
AM Tautan, V Mihajlovic, YH Chen, B Grundlehner, J Penders, ...
Biodevices, 12-22, 2014
542014
Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device
AM Tăuțan, A Young, E Wentink, F Wieringa
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
462015
Framework for evaluating EEG signal quality of dry electrode recordings
AM Tăuțan, W Serdijn, V Mihajloviæ, B Grundlehner, J Penders
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 186-189, 2013
252013
Freezing of gait detection for parkinson’s disease patients using accelerometer data: Case study
AM Tăuțan, AG Andrei, B Ionescu
2020 International Conference on e-Health and Bioengineering (EHB), 1-4, 2020
162020
Automatic sleep stage detection: a study on the influence of various PSG input signals
AM Tăutan, AC Rossi, R De Francisco, B Ionescu
2020 42nd annual international conference of the ieee engineering in …, 2020
162020
Detection of epileptic seizures using unsupervised learning techniques for feature extraction
AM Tăuțan, M Dogariu, B Ionescu
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
162019
Dimensionality reduction for EEG-based sleep stage detection: comparison of autoencoders, principal component analysis and factor analysis
AM Tăuțan, AC Rossi, R de Francisco, B Ionescu
Biomedical Engineering/Biomedizinische Technik 66 (2), 125-136, 2021
142021
Parkinson’s disease detection from gait patterns
AG Andrei, AM Tăuțan, B Ionescu
2019 E-Health and Bioengineering Conference (EHB), 1-4, 2019
122019
Low latency automated epileptic seizure detection: Individualized vs. Global approaches
A Ciurea, CP Manoila, AM Tautan, B Ionescu
2020 International Conference on e-Health and Bioengineering (EHB), 1-4, 2020
82020
TMS-EEG perturbation biomarkers for Alzheimer’s disease patients classification
AM Tăuƫan, EP Casula, MC Pellicciari, I Borghi, M Maiella, S Bonni, ...
Scientific Reports 13 (1), 7667, 2023
62023
The automatic detection of epileptic seizures based on EEG signals processing: Investigation of different features and classification algorithms
AM Tăuțan, I Mândruță, OA Băjenaru, R Strungaru, D Țarălungă, ...
World Congress on Medical Physics and Biomedical Engineering 2018: June 3-8 …, 2019
62019
Automatic sleep stage detection using a single channel frontal EEG
AM Tautan, AC Rossi, R De Franciso, B Ionescu
Proc. E-Health Bioeng. Conf.(EHB), 2019-2022, 2019
52019
An efficient method for fetal heart sounds detection based on hilbert transform
DD Taralunga, AM Tautan, GM Ungureanu
2018 International Conference and Exposition on Electrical And Power …, 2018
52018
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease
AM Tăuțan, E Casula, I Borghi, M Maiella, S Bonni, M Minei, M Assogna, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
22022
Automated classification of epileptiform discharges in EEG signals using the wavelet transform
AM Tautan, AI Munteanu, DD Taralunga, R Strungaru, GM Ungureanu
2018 International Conference and Exposition on Electrical And Power …, 2018
22018
Automatic sleep scoring with LSTM networks: impact of time granularity and input signals
AM Tăuțan, AC Rossi, B Ionescu
Biomedical Engineering/Biomedizinische Technik 67 (4), 267-281, 2022
12022
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification
AM Tăuțan, E Casula, I Borghi, M Maiella, S Bonni, M Minei, M Assogna, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
Automatic Sleep Stage Detection using a Single Channel Frontal EEG
AM Tăuțan, AC Rossi, R de Francisco, B Ionescu
2019 E-Health and Bioengineering Conference (EHB), 1-4, 2019
2019
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