[HTML][HTML] Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison

G Costantini, V Cesarini, P Di Leo, F Amato, A Suppa… - Sensors, 2023 - mdpi.com
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …

[HTML][HTML] A three-stage fuzzy classifier method for Parkinson's disease diagnosis using dynamic handwriting analysis

K Sarin, M Bardamova, M Svetlakov, N Koryshev… - Decision Analytics …, 2023 - Elsevier
Finding low-cost and insightful methods to reinforce the diagnosis of Parkinson's disease is
a major challenge today, and using dynamic handwritten data may be one of the solutions …

An adaptive intelligent polar bear (aipb) optimization-quantized contempo neural network (qcnn) model for parkinson's disease diagnosis using speech dataset

S Pragadeeswaran, S Kannimuthu - Biomedical Signal Processing and …, 2024 - Elsevier
The design and development of an automated Parkinson's disease (PD) diagnosis
framework still remains one of the most complex and crucial tasks in the present day. In the …

[HTML][HTML] Voice Disorder Multi-Class Classification for the Distinction of Parkinson's Disease and Adductor Spasmodic Dysphonia

V Cesarini, G Saggio, A Suppa, F Asci, A Pisani… - Applied Sciences, 2023 - mdpi.com
Parkinson's Disease and Adductor-type Spasmodic Dysphonia are two neurological
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …

[HTML][HTML] Robust and language-independent acoustic features in Parkinson's disease

S Scimeca, F Amato, G Olmo, F Asci, A Suppa… - Frontiers in …, 2023 - frontiersin.org
Introduction The analysis of vocal samples from patients with Parkinson's disease (PDP) can
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …

[HTML][HTML] Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones

MG Di Cesare, D Perpetuini, D Cardone, A Merla - BioMedInformatics, 2024 - mdpi.com
Background: The integration of edge computing into smart healthcare systems requires the
development of computationally efficient models and methodologies for monitoring and …

[HTML][HTML] OneBitPitch (OBP): Ultra-High-Speed Pitch Detection Algorithm Based on One-Bit Quantization and Modified Autocorrelation

D Coccoluto, V Cesarini, G Costantini - Applied Sciences, 2023 - mdpi.com
Featured Application Fast pitch detection algorithm for the real-time estimation of the
fundamental frequency, optimized for hardware implementation. Abstract This paper …

A bibliometric analysis of speech and language impairments in Parkinson's disease based on Web of Science

X Pan, B Liang, T Cao - Frontiers in Psychology, 2024 - frontiersin.org
Many individuals with Parkinson's disease suffer from speech and language impairments
that significantly impact their quality of life. Despite several studies on these disorders, there …

Unfolding Laryngeal Neuromotor Activity in Parkinson's Disease by Phonation Inversion

P Gómez-Vilda, A Gómez-Rodellar, J Mekyska… - … Work-Conference on …, 2024 - Springer
Neuromotor disorders are a group of neurodegenerative alterations involving the
neuromuscular system. Among them, Parkinson's disease (PD) is the one with fastest …

Hallmarks of Parkinson's disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space

F Amato, V Cesarini, L Pietrosanti… - … on Metrology for …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the most widespread neurodegenerative diseases
worldwide, affected by a number of alterations, among which speech impairments that …