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OLMO, Gabriella
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Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona (SINBAR) scoring method
In corso di stampa Rechichi, Irene; Olmo, Gabriella; Stefani, Ambra; Heidbreder, Anna; Holzknecht, Evi; Bergmann, Melanie; Ibrahim, Abubaker; Brandauer, Elisabeth; Högl, Birgit; Cesari, Matteo
Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona scoring method
In corso di stampa Rechichi, Irene; Olmo, Gabriella; Stefani, Ambra; Heidbreder, Anna; Holzknecht, Evi; Bergmann, Melanie; Ibrahim, Abubaker; Brandauer, Elisabeth; Högl, Birgit; Cesari, Matteo
Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease
2023 Borzi', Luigi; Sigcha, Luis; Olmo, Gabriella
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
2023 Sigcha, Luis; Borzi', Luigi; Amato, Federica; Rechichi, Irene; Ramos-Romero, Carlos; Cárdenas, Andrés; Gascó, Luis; Olmo, Gabriella
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications
2023 Masi, Giulia; Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella
Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space
2023 Amato, Federica; Cesarini, Valerio; Pietrosanti, Luca; Costantini, Giovanni; Olmo, Gabriella; Saggio, Giovani
Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey
2023 Amato, F.; Saggio, G.; Cesarini, V.; Olmo, G.; Costantini, G.
Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study
2023 Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning
2023 Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella
Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
2023 Borzi', Luigi; Sigcha, Luis; Rodriguez-Martin, Daniel; Olmo, Gabriella
Robust and language-independent acoustic features in Parkinson's disease
2023 Scimeca, Sabrina; Amato, Federica; Olmo, Gabriella; Asci, Francesco; Suppa, Antonio; Costantini, Giovanni; Saggio, Giovanni
Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases
2023 Demrozi, F.; Borzi', L.; Olmo, G.
A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson’s Disease
2022 Mesin, Luca; Porcu, Paola; Russu, Debora; Farina, Gabriele; Borzì, Luigi; Zhang, Wei; Guo, Yuzhu; Olmo, Gabriella
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects
2022 Amprimo, G.; Masi, G.; Ferraris, C.; Olmo, G.; Priano, L.
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects
2022 Amprimo, Gianluca; Masi, Giulia; Ferraris, Claudia; Olmo, Gabriella; Priano, Lorenzo
Assessing REM sleep behaviour disorder: from machine learning classification to the definition of a continuous dissociation index
2022 Rechichi, Irene; Iadarola, Antonella; Zibetti, Maurizio; Cicolin, Alessandro; Olmo, Gabriella
Correlation between wearable inertial sensor data and standardised Parkinson's disease axial impairment measures using machine learning
2022 Borzi', L.; Manoni, A.; Zampogna, A.; Irrera, F.; Suppa, A.; Olmo, G.
High-accuracy wearable detection of freezing of gait in Parkinson's disease based on pseudo-multimodal features
2022 Guo, Y.; Huang, D.; Zhang, W.; Wang, L.; Li, Y.; Olmo, G.; Wang, Q.; Meng, F.; Chan, P.
How resistant are levodopa-resistant axial symptoms? Response of freezing, posture and voice to increasing levodopa intestinal infusion rates in Parkinson's disease
2022 Imbalzano, Gabriele; Rinaldi, Domiziana; Calandra-Buonaura, Giovanna; Contin, Manuela; Amato, Federica; Giannini, Giulia; Sambati, Luisa; Ledda, Claudia; Romagnolo, Alberto; Olmo, Gabriella; Cortelli, Pietro; Zibetti, Maurizio; Lopiano, Leonardo; Artusi, Carlo Alberto
Obesity and Gastro-Esophageal Reflux voice disorders: a Machine Learning approach
2022 Amato, Federica; Fasani, Maria; Raffaelli, Glauco; Cesarini, Valerio; Olmo, Gabriella; Di Lorenzo, Nicola; Costantini, Giovanni; Saggio, Giovanni
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona (SINBAR) scoring method / Rechichi, Irene; Olmo, Gabriella; Stefani, Ambra; Heidbreder, Anna; Holzknecht, Evi; Bergmann, Melanie; Ibrahim, Abubaker; Brandauer, Elisabeth; Högl, Birgit; Cesari, Matteo. - In: SLEEP MEDICINE. - ISSN 1878-5506. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno World Sleep 2023 tenutosi a Rio De Janeiro (BRASIL) nel 20-25 ottobre 2023). | In corso di stampa | Rechichi, IreneOlmo, Gabriella + | - |
| Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona scoring method / Rechichi, Irene; Olmo, Gabriella; Stefani, Ambra; Heidbreder, Anna; Holzknecht, Evi; Bergmann, Melanie; Ibrahim, Abubaker; Brandauer, Elisabeth; Högl, Birgit; Cesari, Matteo. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno World Sleep 2023 tenutosi a Rio De Janeiro (BRASILE) nel 20-25 October 2023). | In corso di stampa | Rechichi, IreneOlmo, Gabriella + | - |
| Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease / Borzi', Luigi; Sigcha, Luis; Olmo, Gabriella. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:9(2023). [10.3390/s23094426] | 1-gen-2023 | Luigi BorzìGabriella Olmo + | Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson's Disease.pdf |
| Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review / Sigcha, Luis; Borzi', Luigi; Amato, Federica; Rechichi, Irene; Ramos-Romero, Carlos; Cárdenas, Andrés; Gascó, Luis; Olmo, Gabriella. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - ELETTRONICO. - 229, Part A:(2023). [10.1016/j.eswa.2023.120541] | 1-gen-2023 | Luigi BorzìFederica AmatoIrene RechichiGabriella Olmo + | Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson disease.pdf |
| Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications / Masi, Giulia; Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella. - ELETTRONICO. - (2023), pp. 130-135. (Intervento presentato al convegno 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 tenutosi a Atlanta (USA) nel 13-17 March 2023) [10.1109/PerComWorkshops56833.2023.10150380]. | 1-gen-2023 | Amprimo, GianlucaRechichi, IreneOlmo, Gabriella + | _TELMED2023_Electrodermal_Activity_in_the_Evaluation_of_Engagement.pdf; Electrodermal_Activity_in_the_Evaluation_of_Engagement_for_Telemedicine_Applications (1).pdf |
| Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space / Amato, Federica; Cesarini, Valerio; Pietrosanti, Luca; Costantini, Giovanni; Olmo, Gabriella; Saggio, Giovani. - (2023), pp. 270-274. (Intervento presentato al convegno MetroInd4.0&IoT 2023 tenutosi a Brescia (IT) nel 06-08 June 2023) [10.1109/MetroInd4.0IoT57462.2023.10180199]. | 1-gen-2023 | Amato, FedericaOlmo, Gabriella + | 1570889873.pdf; Hallmarks_of_Parkinsons_disease_progression_determined_by_temporal_evolution_of_speech_attractors_in_the_reconstructed_phase-space.pdf |
| Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey / Amato, F.; Saggio, G.; Cesarini, V.; Olmo, G.; Costantini, G.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 219:(2023), p. 119651. [10.1016/j.eswa.2023.119651] | 1-gen-2023 | Amato F.Olmo G. + | 1-s2.0-S0957417423001525-main.pdf; ESWA-D-22-05921_R1.pdf |
| Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study / Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 12:3(2023), p. 623. [10.3390/electronics12030623] | 1-gen-2023 | Gianluca AmprimoIrene RechichiGabriella Olmo + | electronics-12-00623-v2 (2).pdf |
| Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning / Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella. - ELETTRONICO. - (2023), pp. 640-645. (Intervento presentato al convegno 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) tenutosi a L'Aquila (Italia) nel 22-24 giugno 2023) [10.1109/CBMS58004.2023.00293]. | 1-gen-2023 | Amprimo,GianlucaRechichi, IreneOlmo, Gabriella + | IEEE_CBMS (3).pdf; Objective_Assessment_of_the_Finger_Tapping_Task_in_Parkinsons_Disease_and_Control_Subjects_using_Azure_Kinect_and_Machine_Learning.pdf |
| Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor / Borzi', Luigi; Sigcha, Luis; Rodriguez-Martin, Daniel; Olmo, Gabriella. - In: ARTIFICIAL INTELLIGENCE IN MEDICINE. - ISSN 0933-3657. - ELETTRONICO. - 135:(2023). [10.1016/j.artmed.2022.102459] | 1-gen-2023 | Luigi BORZI'Gabriella Olmo + | AIIM-D-22-00637R2.pdf; 1-s2.0-S0933365722002111-main.pdf |
| Robust and language-independent acoustic features in Parkinson's disease / Scimeca, Sabrina; Amato, Federica; Olmo, Gabriella; Asci, Francesco; Suppa, Antonio; Costantini, Giovanni; Saggio, Giovanni. - In: FRONTIERS IN NEUROLOGY. - ISSN 1664-2295. - 14:(2023). [10.3389/fneur.2023.1198058] | 1-gen-2023 | Scimeca, SabrinaAmato, FedericaOlmo, Gabriella + | fneur-14-1198058.pdf |
| Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases / Demrozi, F.; Borzi', L.; Olmo, G.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 12:6(2023). [10.3390/electronics12061269] | 1-gen-2023 | BORZI' L.Olmo G. + | Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Disorders.pdf |
| A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson’s Disease / Mesin, Luca; Porcu, Paola; Russu, Debora; Farina, Gabriele; Borzì, Luigi; Zhang, Wei; Guo, Yuzhu; Olmo, Gabriella. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 22:7(2022), p. 2613. [10.3390/s22072613] | 1-gen-2022 | Mesin, LucaBorzì, LuigiOlmo, Gabriella + | A multi-modal analysis of the Freezing of Gait phenomenon in Parkinson's disease.pdf |
| A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects / Amprimo, G.; Masi, G.; Ferraris, C.; Olmo, G.; Priano, L.. - (2022), pp. 1-8. [10.1109/SEGAH54908.2022.9978557] | 1-gen-2022 | Amprimo G.Masi G.Olmo G. + | - |
| A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects / Amprimo, Gianluca; Masi, Giulia; Ferraris, Claudia; Olmo, Gabriella; Priano, Lorenzo. - ELETTRONICO. - (2022). (Intervento presentato al convegno 10th IEEE International Conference on Serious Games and Applications for Health, IEEE SEGAH 2022 tenutosi a Sydney (AUS) nel 10/08/2022-12/08/2022) [10.1109/SEGAH54908.2022.9978557]. | 1-gen-2022 | Gianluca AmprimoGabriella Olmo + | SEGAH_2022.pdf; A_Preliminary_Comparison_between_Traditional_and_Gamified_Leg_Agility_Assessment_in_Parkinsonian_Subjects.pdf |
| Assessing REM sleep behaviour disorder: from machine learning classification to the definition of a continuous dissociation index / Rechichi, Irene; Iadarola, Antonella; Zibetti, Maurizio; Cicolin, Alessandro; Olmo, Gabriella. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - ELETTRONICO. - 19:1(2022), pp. 1-18. [10.3390/ijerph19010248] | 1-gen-2022 | Rechichi, IreneOlmo, Gabriella + | ijerph-19-00248 (3).pdf |
| Correlation between wearable inertial sensor data and standardised Parkinson's disease axial impairment measures using machine learning / Borzi', L.; Manoni, A.; Zampogna, A.; Irrera, F.; Suppa, A.; Olmo, G.. - ELETTRONICO. - 2022:(2022), pp. 732-736. (Intervento presentato al convegno IEEE 21st Mediterranean Electrotechnical Conference (MELECON) tenutosi a Palermo nel 14-16 June 2022) [10.1109/MELECON53508.2022.9843018]. | 1-gen-2022 | Borzi' L.Olmo G. + | 1570789737.pdf; Correlation+between+wearable+inertial+sensor+data+and+standardised+Parkinson’s+disease+axial+impairment+measures+using+machine+learning.pdf |
| High-accuracy wearable detection of freezing of gait in Parkinson's disease based on pseudo-multimodal features / Guo, Y.; Huang, D.; Zhang, W.; Wang, L.; Li, Y.; Olmo, G.; Wang, Q.; Meng, F.; Chan, P.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 146:(2022), p. 105629. [10.1016/j.compbiomed.2022.105629] | 1-gen-2022 | Olmo G. + | 1-s2.0-S0010482522004218-main.pdf |
| How resistant are levodopa-resistant axial symptoms? Response of freezing, posture and voice to increasing levodopa intestinal infusion rates in Parkinson's disease / Imbalzano, Gabriele; Rinaldi, Domiziana; Calandra-Buonaura, Giovanna; Contin, Manuela; Amato, Federica; Giannini, Giulia; Sambati, Luisa; Ledda, Claudia; Romagnolo, Alberto; Olmo, Gabriella; Cortelli, Pietro; Zibetti, Maurizio; Lopiano, Leonardo; Artusi, Carlo Alberto. - In: EUROPEAN JOURNAL OF NEUROLOGY. - ISSN 1351-5101. - ELETTRONICO. - (2022). [10.1111/ene.15558] | 1-gen-2022 | Amato, FedericaOlmo, Gabriella + | Euro+J+of+Neurology+-+2022+-+Imbalzano+-+How+resistant+are+levodopaâ++resistant+axial+symptoms++Response+of+freezing++posture.pdf; Euro J of Neurology - 2022 - Imbalzano - How resistant are levodopa‐resistant axial symptoms Response of freezing posture.pdf |
| Obesity and Gastro-Esophageal Reflux voice disorders: a Machine Learning approach / Amato, Federica; Fasani, Maria; Raffaelli, Glauco; Cesarini, Valerio; Olmo, Gabriella; Di Lorenzo, Nicola; Costantini, Giovanni; Saggio, Giovanni. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Giardini Naxos, Messina nel 22-24 June 2022) [10.1109/MeMeA54994.2022.9856574]. | 1-gen-2022 | Amato, FedericaOlmo, Gabriella + | Obesity_and_Gastro-Esophageal_Reflux_voice_disorders_a_Machine_Learning_approach.pdf |