Search Results - "Olmo, Gabriella"
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Prediction of Freezing of Gait in Parkinson's Disease Using Wearables and Machine Learning
Published in Sensors (Basel, Switzerland) (17-01-2021)“…Freezing of gait (FOG) is one of the most troublesome symptoms of Parkinson's disease, affecting more than 50% of patients in advanced stages of the disease…”
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Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson's Disease
Published in Sensors (Basel, Switzerland) (30-04-2023)“…Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson's disease (PD) characterized by the inability to move the feet forward despite the…”
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Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor
Published in Sensors (Basel, Switzerland) (01-01-2022)“…Current telemedicine approaches lack standardised procedures for the remote assessment of axial impairment in Parkinson's disease (PD). Unobtrusive wearable…”
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A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease
Published in Sensors (Basel, Switzerland) (29-03-2022)“…Freezing of Gait (FOG) is one of the most disabling motor complications of Parkinson's disease, and consists of an episodic inability to move forward, despite…”
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Robust and language-independent acoustic features in Parkinson's disease
Published in Frontiers in neurology (13-06-2023)“…The analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring. Intriguingly,…”
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An algorithm for Parkinson’s disease speech classification based on isolated words analysis
Published in Health information science and systems (01-12-2021)“…Introduction Automatic assessment of speech impairment is a cutting edge topic in Parkinson’s disease (PD). Language disorders are known to occur several years…”
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Speech Impairment in Parkinson's Disease: Acoustic Analysis of Unvoiced Consonants in Italian Native Speakers
Published in IEEE access (2021)“…The study of the influence of Parkinson's Disease (PD) on vocal signals has received much attention over the last decades. Increasing interest has been devoted…”
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Single‐channel EEG classification of sleep stages based on REM microstructure
Published in Healthcare technology letters (01-06-2021)“…Rapid‐eye movement (REM) sleep, or paradoxical sleep, accounts for 20–25% of total night‐time sleep in healthy adults and may be related, in pathological…”
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Unveiling the Unpredictable in Parkinson's Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Published in Bioengineering (Basel) (01-05-2024)“…Dyskinesias and freezing of gait are episodic disorders in Parkinson's disease, characterized by a fluctuating and unpredictable nature. This cross-sectional…”
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Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease
Published in IEEE open journal of engineering in medicine and biology (01-01-2020)“…Goal: In this paper we investigated the use of smartphone sensors and Artificial Intelligence techniques for the automatic quantification of the MDS-UPDRS-Part…”
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A Flexible R-D-Based Multiple Description Scheme for JPEG 2000
Published in IEEE signal processing letters (01-03-2007)“…Multiple description coding (MDC) is a good way to combat packet losses in error-prone networks subject to packet erasures. However, redundancy tuning is often…”
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Beyond breathalyzers: AI-powered speech analysis for alcohol intoxication detection
Published in Expert systems with applications (01-03-2025)“…Detecting potential alcohol inebriation or intoxication status holds paramount significance for social prevention and security. Beyond its association with…”
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Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study
Published in Expert systems with applications (01-12-2024)“…Freezing of gait is a complex and disabling symptom of Parkinson’s disease, which has a significant impact on the patients’ quality of life and increases the…”
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Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey
Published in Expert systems with applications (01-06-2023)“…The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson’s disease is crucial in controlling the progress of the disease…”
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Deep Learning for hand tracking in Parkinson’s Disease video-based assessment: Current and future perspectives
Published in Artificial intelligence in medicine (01-08-2024)“…Parkinson’s Disease (PD) demands early diagnosis and frequent assessment of symptoms. In particular, analysing hand movements is pivotal to understand disease…”
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Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Published in Artificial intelligence in medicine (01-01-2023)“…Freezing of gait (FOG) is one of the most disabling symptoms of Parkinson’s disease (PD), contributing to poor quality of life and increased risk of falls…”
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Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
Published in Expert systems with applications (01-11-2023)“…Parkinson’s disease (PD) is a neurodegenerative disorder that produces both motor and non-motor complications, degrading the quality of life of PD patients…”
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Assessing REM Sleep Behaviour Disorder: From Machine Learning Classification to the Definition of a Continuous Dissociation Index
Published in International journal of environmental research and public health (27-12-2021)“…Rapid Eye Movement Sleep Behaviour Disorder (RBD) is regarded as a prodrome of neurodegeneration, with a high conversion rate to α-synucleinopathies such as…”
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A Data-driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease
Published in IEEE journal of biomedical and health informatics (20-08-2024)“…Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established treatment for motor impairment due to Parkinson's disease (PD) progression. While…”
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Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
Published in Biomedical signal processing and control (01-10-2024)“…Accurate 3D tracking of hand and fingers movements poses significant challenges in computer vision. The potential applications span across multiple domains,…”
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