Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

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 …

Parkinson disease prediction using intrinsic mode function based features from speech signal

B Karan, SS Sahu, K Mahto - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
Parkinson's disease (PD) is a progressive neurological disorder prevalent in old age. Past
studies have shown that speech can be used as an early marker for identification of PD. It …

Parkinson disease detection using energy direction features based on EMD from voice signal

T Zhang, Y Zhang, H Sun, H Shan - Biocybernetics and Biomedical …, 2021 - Elsevier
Voice disorders are one of the incipient symptoms of Parkinson's disease (PD). Recent
studies have shown that approximately 90% of PD patients suffer from vocal disorders …

Voice disorder classification using speech enhancement and deep learning models

M Chaiani, SA Selouani, M Boudraa… - Biocybernetics and …, 2022 - Elsevier
With the recent development of speech-enabled interactive systems using artificial agents,
there has been substantial interest in the analysis and classification of voice disorders to …

Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey

F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification

M Ghane, MC Ang, M Nilashi, S Sorooshian - … and Biomedical Engineering, 2022 - Elsevier
The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Voice analysis with machine learning: one step closer to an objective diagnosis of essential tremor

A Suppa, F Asci, G Saggio, P Di Leo… - Movement …, 2021 - Wiley Online Library
Background Patients with essential tremor have upper limb postural and action tremor often
associated with voice tremor. The objective of this study was to objectively examine voice …

[HTML][HTML] Safety of bilateral staged magnetic resonance‐guided focused ultrasound thalamotomy for essential tremor

N Scantlebury, CR Rohringer, JS Rabin… - Movement Disorders …, 2023 - ncbi.nlm.nih.gov
Staged, open-surgical lesioning of the thalamic ventral intermediate nucleus to abate
medication-refractory essential tremor (mrET) has been historically associated with a high …