Profile image

Alexandra-Maria Tăuțan

Interested in healthcare research and innovative medical device & algorithm development.

About Education Work Experience Publications Contact

Summary

Currently, Alexandra is a PhD candidate in the Multimedia Lab from "Politehnica" University of Bucharest. The focus of her thesis is on signal processing and analysis techniques that aid in the diagnosis and monitoring of neurological disorders.

Previously, she had several roles in the healthcare technology industry. Her technical work was mostly focused on non-invasive physiological recordings, specifically for wearable device development. She also has health tech business experience, from the perspective of regulatory and quality affairs for medical devices.

Research interests:

  • Digital signal processing
  • Machine learning, deep learning
  • Health monitoring and diagnostic tools
  • Physiological recordings: EEG, PPG, ECG, EDA
  • Multimedia data for diagnostic purposes

Education

Under the guidance of Prof. Bogdan Ionescu in the Multimedia Lab from the Faculty of Electronics, Telecommunications and Information Technology. Working towards "Advanced Multidimensional Signal Processing and Analysis Techniques for the Diagnosis and Monitoring of Neurological Disorders"

Graduation Thesis: "Evaluating Signal Quality of Dry Electrode EEG Recordings " - design of experimental and analytical procedures for performance evaluation of dry electrodes. The final setup included a parallel measurement system with dry and gel electrodes for human participants. Analysis of the recordings included signal correlations, coherence, defined SNRs and P300 differences. The work was graded with 8 (out of 10).
Graduation Thesis: "ECG Signal Processing" - simulation involving the extraction of ECG features with the help of the Wavelet Transform and the development of an algorithm for automatic atrio-ventricular block detection. The theme was individually chosen by talking to a cardiologist. The work was graded with 10 (out of 10).

Experience

Responsible for the Biomedical Signal Processing Course from the Faculty of Medical Engineering (FIM), "Politehnica" University of Bucharest (substitute professor)
  • Guiding students from the specialization Medical Equipment and Systems, in their 3rd year of bachelor studies, on available course materials for biomedical signal processing
  • Presenting materials during the course and also providing guidance in their practical laboratory work and final project
Junior and Medior Consultant in Regulatory and Quality Affairs for Medical Devices.
Worked both for multinational and start-up companies, having several roles and responsibilities which included:
  • Providing advice on regulatory market access for the EU and US market
  • Support on quality system procedures
  • Help in the communication with regulatory authorities
  • Held several interim positions
Part of the R&D team working on a wearable physiological signal acquisition module from the wrist. My main responsibilities included:
  • Algorithm development - Algorithm prototyping for physiological signal processing (PPG, ECG, EDA signals). Techniques used include: Blind Source Separation techniques (PCA, ICA), Wavelet Transforms, Fourier based methods, Digital Filters (IIR, FIR), descriptive statistics, machine learning algorithms
  • Data collection - defining all necessary protocols for data collection while also preparing all necessary documentation
  • Prototype tests/validation and sensor optimization - test provided hardware and software for obtaining reliable physiological data (according to specs and requirements for further algorithm development).
  • Literature survey on existing methods of quality evaluation
  • Designing paradigms to obtain simultaneously recorded EEG signals while generating specific cortical responses
  • Building an experimental setup and ensuring optimal conditions for the participants
  • Collecting data, analysis and reporting of the results
  • Research work on the effects of patient usage on the performance of a nebulizer
  • Collecting and processing data using Matlab and LabView
  • Work with a tailored experimental setup to test the device in a research laboratory

Publications

Conference papers

  • Alexandra-Maria Tăuţan, Alessandro C. Rossi, Ruben de Francisco, Bogdan Ionescu "Automatic Sleep Stage Detection: A Study on the Influence of Various PSG Input Signals" 42nd Annual International Conference of the IEEE Engineeing in Medicine and Biology
  • Alexandra-Maria Tăuţan, Alessandro C. Rossi, Ruben de Francisco, Bogdan Ionescu "Automatic Sleep Stage Detection using a Single Channel Frontal EEG" E-Health and Bioengineering Conference, October 2019, Iasi, Romania
  • Alexandra Andrei, Alexandra-Maria Tăuţan, Bogdan Ionescu "Parkinson's Disease Detection from Gait Patterns" E-Health and Bioengineering Conference, October 2019, Iasi, Romania
  • Alexandra-Maria Tăuţan, Mihai Dogariu, Bogdan Ionescu "Detection of Epileptic Seizures using Unsupervised Learning Techniques for Feature Extraction" 41st Engineering in Medicine and Biology Conference, July 2019, Berling, Germany
  • Alexandra-Maria Tăuţan, Ana-Ilinca Munteanu, Dragoș Țarălungă, Rodica Strungaru, G. Mihaela Neagu (Ungureanu), "Automated classification of epileptiform discharges in EEG signals using the wavelet transform", 10th International Conference and Exposition on Electrical and Power Engineering, October 2018, Iasi, Romania
  • Dragoș Țarălungă, Alexandra-Maria Tăuţan, G. Mihaela Neagu (Ungureanu), "An Efficient Method for Fetal Heart Sounds Detection Based on Hilbert Transform", 10th International Conference and Exposition on Electrical and Power Engineering, October 2018, Iasi, Romania
  • Alexandra-Maria Tăuţan, Ioana Mândruță, Ovidiu-Alexandru Băjenaru, Rodica Strungaru, Dragoș Țarălungă, Bogdan Hurezeanu, G. Mihaela Neagu (Ungureanu), "The automatic detection of epileptic seizures based on EEG signals processing: investigation of different features and classification algorithms", World Congress on Medical Physics & Biomedical Engineering, June 2018, Prague, Czech Republic
  • Alexandra-Maria Tăuţan, Alex Young, Eva Wentink, Fokko Wieringa, "Characterization and Reduction of Motion Artifacts in Wrist-worn Photoplethysmographic signals", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2015, Milan, Italy
  • Alexandra-Maria Tăuţan, Alex Young, Eva Wentink, Fokko Wieringa, "Characterization and reduction of Motion Artifacts in wrist-worn Photoplethysmographic signals", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2015, Milan, Italy
  • Alexandra-Maria Tăuţan, Vojkan Mihajlović, Yun-Hsuan Chen, Bernard Grundlehner, Julien Penders, Wouter Serdijn, "Signal Quality in EEG Electrodes and Skin-Electrode Contact Impedance", 7th International Conference on Biomedical Electronics and Devices, March 2014, Eseo, Angers, Loire Valley, France
  • Alexandra-Maria Tăuţan, Vojkan Mihajlović, Bernard Grundlehner, Julien Penders,Wouter Serdijn, "Framework for Evaluating EEG Signal Quality of Dry Electrode Recordings", IEEE Biomedical Circuits and Systems Conference, 1st November 2013, Rotterdam, The Netherlands

Contact

E-mail
alexandra [.] tautan [at] gmail.com

Address
CAMPUS
Multimedia Lab, Room 205
Bulevardul Iuliu Maniu 6, București 061344

Faculty of Electronics, Telecommunications and Information Technology
Leu Campus, Building B, Room B144
Bulevardul Iuliu Maniu 1-3, București 061071