Research

General Research Interests

  • Digital Signal Processing algorithm and architecture implementation targeting FPGAs
    • Adaptive Filters
    • Blind Source Separation
  • Biomedical Electronics
    • Parkinson’s Disease:
    • Ileșan, R.R.; Cordoș, C.-G.; Mihăilă, L.-I.; Fleșar, R.; Popescu, A.-S.; Perju-Dumbravă, L.; Faragó, P. Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson’s Disease Management Optimization. Biosensors 2022, 12, 189. https://doi.org/10.3390/bios12040189
    • Faragó, P.; Ștefănigă, S.-A.; Cordoș, C.-G.; Mihăilă, L.-I.; Hintea, S.; Peștean, A.-S.; Beyer, M.; Perju-Dumbravă, L.; Ileșan, R.R. CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments. Bioengineering 2023, 10, 531. https://doi.org/10.3390/bioengineering10050531
    • Faragó, P.; Popescu, A.-S.; Perju-Dumbravă, L.; Ileşan, R.R. Wearables as Part of Decision Support System in Parkinson’s Disease Prediagnosis: A Case Study. In Proceedings of the 2022 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 17–18 November 2022; pp. 1–4.
    • Mihăilă, L.-I.; Cordoş, C.-G.; Ileşan, R.R.; Faragó, P.; Hintea, S. CNN-based Identification of Parkinsonian Gait using Ground Reaction Forces. In Proceedings of the 2022 45th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 13–15 July 2022; pp. 318–321.
    • Gait monitoring
    • Ileșan, R.R.; Cordoș, C.-G.; Mihăilă, L.-I.; Fleșar, R.; Popescu, A.-S.; Perju-Dumbravă, L.; Faragó, P. Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson’s Disease Management Optimization. Biosensors 2022, 12, 189. https://doi.org/10.3390/bios12040189
    • Mihăilă, L.-I.; Cordoş, C.-G.; Ileşan, R.R.; Faragó, P.; Hintea, S. CNN-based Identification of Parkinsonian Gait using Ground Reaction Forces. In Proceedings of the 2022 45th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 13–15 July 2022; pp. 318–321.
    • Faragó, P.; Grama, L.; Farago, M.-A.; Hintea, S. A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics. Appl. Sci. 2021, 11, 268. https://doi.org/10.3390/app11010268
    • Faragό, P.; Cirlugea, M.; Hintea, S. A Novel Smart-Shoe Architecture for Podiatric Monitoring. In Proceedings of the 43rd International Conference on Telecommunications and Signal Processing (TSP), Milan, Italy, 7–9 July 2020; pp. 180–183.
    • Faragό, P.; Groza, R.; Hintea, S. High Precision Activity Tracker Based on the Correlation of Accelerometer and EMG Data. In Proceedings of the 42nd International Conference on Telecommunications and Signal Processing (TSP), Budapest, Hungary, 1–3 July 2019; pp. 428–431.
    • ECG & Biometric identification
    • Ivanciu, L., Ivanciu, IA., Farago, P. et al. An ECG-based Authentication System Using Siamese Neural Networks. J. Med. Biol. Eng. 41, 558–570 (2021). https://doi.org/10.1007/s40846-021-00637-9
    • Cordo, C.; Mihailă, L.; Faragó, P.; Hintea, S. ECG signal classification using Convolutional Neural Networks for Biometric Identification. In Proceedings of the 2021 44th International Conference on Telecommunications and Signal Processing (TSP), Brno, Czech Republic, 26–28 June 2021; pp. 167–170.
    • Cordoș, C., Faragó, P., Hintea, S., Fărcaș, C. (2022). A Matlab Simulation Platform for a Biometric Identification System Based on ECG Fiducial Features. In: Vlad, S., Roman, N.M. (eds) 7th International Conference on Advancements of Medicine and Health Care through Technology. MEDITECH 2020. IFMBE Proceedings, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-93564-1_1
    • Mihăilă, L., Faragó, P., Fărcaș, C., Hintea, S. (2022). A Study on ECG Denoising Using Wiener Filter. In: Vlad, S., Roman, N.M. (eds) 7th International Conference on Advancements of Medicine and Health Care through Technology. MEDITECH 2020. IFMBE Proceedings, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-93564-1_2
    • Faragó, P.; Groza, R.; Ivanciu, L.; Hintea, S. A Correlation-based Biometric Identification Technique for ECG, PPG and EMG. In Proceedings of the 42nd International Conference on Telecommunications and Signal Processing (TSP), Budapest, Hungary, 1–3 July 2019; pp. 716–719.
  • All Digital Phase Locked Loops
  • Software Defined Radio
    • Bianca L.M. BOTA, Rareș BUTA, Botond S. KIREI, Calin A. FĂRCAȘ, Sorin A. HINTEA, “A Numerical Model for I/Q Modulation/Demodulation for an FPGA-Enabled SDR Platform”, ACTA TECHNICA NAPOCENSIS – ELECTRONICS AND TELECOMMUNICATIONS, Vol. 63, Num. 1/2023, ISSN: 1221-6542, pp.25-33.
  • Artificial Intelligence

Research projects

NAPOSIP – http://naposip.utcluj.ro

HiSAT – High-Throughput Wireless-SpaceWire Bridge for Intra-Satellite Transmissions