| Prediction of Freezing of Gait in Parkinson's Disease using Wearables and Machine Learning L Borzí, I Mazzetta, A Zampogna, A Suppa, G Olmo, F Irrera Sensors 21 (2), 614, 2021 | 81 | 2021 |
| Home monitoring of motor fluctuations in Parkinson’s disease patients L Borzì, M Varrecchia, G Olmo, CA Artusi, M Fabbri, MG Rizzone, ... Journal of Reliable Intelligent Environments 5 (3), 145-162, 2019 | 43 | 2019 |
| An algorithm for Parkinson’s disease speech classification based on isolated words analysis F Amato, L Borzì, G Olmo, JR Orozco-Arroyave Health Information Science and Systems 9, 1-15, 2021 | 33 | 2021 |
| Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease L Borzì, M Varrecchia, S Sibille, G Olmo, CA Artusi, M Fabbri, MG Rizzone, ... IEEE Open Journal of Engineering in Medicine and Biology 1, 140-147, 2020 | 18 | 2020 |
| Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: a systematic review L Sigcha, L Borzì, F Amato, I Rechichi, C Ramos-Romero, A Cárdenas, ... Expert Systems with Applications, 120541, 2023 | 15 | 2023 |
| Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor L Borzì, I Mazzetta, A Zampogna, A Suppa, F Irrera, G Olmo Sensors 22 (2), 412, 2022 | 14 | 2022 |
| Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor L Borzì, L Sigcha, D Rodríguez-Martín, G Olmo Artificial intelligence in medicine 135, 102459, 2023 | 13 | 2023 |
| Detection of freezing of gait in people with Parkinson’s disease using smartphones L Borzı, G Olmo, CA Artusi, L Lopiano IEEE Computer Software and Applications Conference, 2020 | 13 | 2020 |
| Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer L Sigcha, L Borzì, I Pavón, N Costa, S Costa, P Arezes, JM López, ... Engineering Applications of Artificial Intelligence 116, 105482, 2022 | 12 | 2022 |
| A multi-modal analysis of the freezing of gait phenomenon in Parkinson’s disease L Mesin, P Porcu, D Russu, G Farina, L Borzì, W Zhang, Y Guo, G Olmo Sensors 22 (7), 2613, 2022 | 12 | 2022 |
| Speech impairment in Parkinson’s disease: acoustic analysis of unvoiced consonants in Italian native speakers F Amato, L Borzì, G Olmo, CA Artusi, G Imbalzano, L Lopiano IEEE Access 9, 166370-166381, 2021 | 12 | 2021 |
| Single‐channel EEG classification of sleep stages based on REM microstructure I Rechichi, M Zibetti, L Borzì, G Olmo, L Lopiano Healthcare Technology Letters, 1-8, 2021 | 11 | 2021 |
| A new index to assess turning quality and postural stability in patients with Parkinson's disease L Borzì, G Olmo, CA Artusi, M Fabbri, MG Rizzone, A Romagnolo, ... Biomedical Signal Processing and Control 62, 102059, 2020 | 11 | 2020 |
| Smartphone-based evaluation of postural stability in Parkinson’s disease patients during quiet stance L Borzì, S Fornara, F Amato, G Olmo, CA Artusi, L Lopiano Electronics 9 (6), 919, 2020 | 11 | 2020 |
| Bradykinesia detection in Parkinson’s disease using smartwatches’ inertial sensors and deep learning methods L Sigcha, B Domínguez, L Borzì, N Costa, S Costa, P Arezes, JM López, ... Electronics 11 (23), 3879, 2022 | 10 | 2022 |
| Sleep Quality through Vocal Analysis: a Telemedicine Application F Amato, I Rechichi, L Borzì, G Olmo 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 4 | 2022 |
| Wearable sensors for supporting diagnosis, prognosis, and monitoring of neurodegenerative diseases F Demrozi, L Borzì, G Olmo Electronics 12 (6), 1269, 2023 | 3 | 2023 |
| Context recognition algorithms for energy-efficient freezing-of-gait detection in Parkinson’s disease L Borzì, L Sigcha, G Olmo Sensors 23 (9), 4426, 2023 | 2 | 2023 |
| Wearable Sensors and Artificial Intelligence for Monitoring of Parkinson’s Disease L Borzi | | 2023 |
| Correlation between wearable inertial sensor data and standardised Parkinson’s disease axial impairment measures using machine learning L Borzì, A Manoni, A Zampogna, F Irrera, A Suppa, G Olmo 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 732-736, 2022 | | 2022 |
Carlo Alberto ArtusiDepartment of Neuroscience ‘Rita Levi Montalcini’, University of Torino, Torino, ItalyVerified email at unito.it
