Speech disorders in Parkinson's disease: pathophysiology, medical management and surgical approaches
K Dashtipour, A Tafreshi, J Lee… - Neurodegenerative …, 2018 - Taylor & Francis
The prevalence of speech disorders among individuals with Parkinson's disease (PD) has
been reported to be as high as 89%. Speech impairment in PD results from a combination of …
been reported to be as high as 89%. Speech impairment in PD results from a combination of …
Detection of Parkinson's disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
Early detection of Parkinson's disease (PD) is very important in clinical diagnosis for
preventing disease development. In this study, we present efficient discrete wavelet …
preventing disease development. In this study, we present efficient discrete wavelet …
Parkinson's disease diagnosis using machine learning and voice
Biomarkers derived from human voice can offer in-sight into neurological disorders, such as
Parkinson's disease (PD), because of their underlying cognitive and neuromuscular …
Parkinson's disease (PD), because of their underlying cognitive and neuromuscular …
mHealth technologies towards Parkinson's disease detection and monitoring in daily life: a comprehensive review
Parkinson's disease (PD) can gradually affect people's lives thus attracting tremendous
attention. Early PD detection and treatment can help control the disease progress, relief from …
attention. Early PD detection and treatment can help control the disease progress, relief from …
Parkinson's disease detection from resting-state EEG signals using common spatial pattern, entropy, and machine learning techniques
Parkinson's disease (PD) is a very common brain abnormality that affects people all over the
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
Automatic Parkinson's disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
S Hawi, J Alhozami, R AlQahtani, D AlSafran… - … Signal Processing and …, 2022 - Elsevier
In recent years, acoustic signals have found increasing popularity among the scientific
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
Robust language independent voice data driven Parkinson's disease detection
Abstract Background and Objective: Parkinson's Disease (PD) is a neurodegenerative
movement disorder caused by the progressive loss of dopamine. Approximately 90% of PD …
movement disorder caused by the progressive loss of dopamine. Approximately 90% of PD …
Machine learning methods with decision forests for Parkinson's detection
M Pramanik, R Pradhan, P Nandy, AK Bhoi… - Applied Sciences, 2021 - mdpi.com
Biomedical engineers prefer decision forests over traditional decision trees to design state-
of-the-art Parkinson's Detection Systems (PDS) on massive acoustic signal data. However …
of-the-art Parkinson's Detection Systems (PDS) on massive acoustic signal data. However …
Detection of Parkinson's disease based on spectrograms of voice recordings and Extreme Learning Machine random weight neural networks
R Guatelli, V Aubin, M Mora, J Naranjo-Torres… - … Applications of Artificial …, 2023 - Elsevier
Parkinson's disease consists in the degeneration of the mesencephalic black substance,
affecting the dopaminergic vias. Its causes are varied, including exposure to pesticides …
affecting the dopaminergic vias. Its causes are varied, including exposure to pesticides …
Pdvocal: Towards privacy-preserving parkinson's disease detection using non-speech body sounds
Parkinson's disease (PD) is a chronic neurodegenerative disorder resulting from the
progressive loss of dopaminergic nerve cells. People with PD usually demonstrate deficits in …
progressive loss of dopaminergic nerve cells. People with PD usually demonstrate deficits in …