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 …
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
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 …
(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
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 …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
Parkinson disease prediction using intrinsic mode function based features from speech signal
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
medication-refractory essential tremor (mrET) has been historically associated with a high …