19 July 2021

• Giovanni Loizzi. Development of a wearable device for breathing rate monitoring using stretchable sensors. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2021
  

  

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27 July 2022

• Agata Notario. Progettazione di reti neurali per estrarre la frequenza respiratoria dal segnale ECG. = Neural network designing to extract respiratory rate from ECG signal. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
  

  

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14 December 2022

• Siria Gorreri. Rilevazione fotopletismografica a distanza con calcolo di parametri vitali = Remote photoplethysmography detection and vital parameters calculation. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
  

  

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13 December 2023

• Maria Acchiardi Bignamini. Real-time algorithm for heart rate extraction from in-vehicle remote photoplethysmography. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023
  

25 March 2024

• Vito Caputo. STIMA DELLA PRESSIONE SISTOLICA DAL SEGNALE PPG TRAMITE RETI NEURALI ARTIFICIALI = ESTIMATION OF SYSTOLIC BLOOD PRESSURE FROM PPG SIGNAL USING ARTIFICIAL NEURAL NETWORKS. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024
  

23 July 2024

• Federico Digiacomo. Development and comparison of ML and DL models for ECG anomaly classification in wearable devices. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024
  

10 December 2024

• Francesco Lupo. Quality enhancement of PPG signals affected by movement artifacts in wearable devices using Neural Networks. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024

21 March 2025

• Antonio Basso. Metodo innovativo e non invasivo per la predizione della concentrazione del lattato nel sangue basato su deep learning = Innovative and Non-Invasive Method for Blood Lactate Concentration Prediction Based on Deep Learning. Rel. Gabriella Olmo, Alessandro Gumiero. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
• Elena Seminerio. Monitoraggio non invasivo della glicemia tramite Deep Learning su segnali di fotopletismografia e bioimpedenza = Non-Invasive Blood Glucose Monitoring Using Deep Learning on Photoplethysmography and Bioimpedance Signals. Rel. Gabriella Olmo, Alessandro Gumiero, Nicola Picozzi. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025