Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey
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 …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …
A deep learning based method for Parkinson's disease detection using dynamic features of speech
C Quan, K Ren, Z Luo - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of voice changes in Parkinson's Disease (PD) patients would make it possible for
early detection and intervention before the onset of disabling physical symptoms. This study …
early detection and intervention before the onset of disabling physical symptoms. This study …
Automated dysarthria severity classification: A study on acoustic features and deep learning techniques
Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
X-vectors: new quantitative biomarkers for early Parkinson's disease detection from speech
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have
focused on the early stages of the disease and the gender effect. In this article, we have …
focused on the early stages of the disease and the gender effect. In this article, we have …
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 …
A spectrogram-based deep feature assisted computer-aided diagnostic system for Parkinson's disease
Parkinson's disease is a neural degenerative disease. It slowly progresses from mild to
severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the …
severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the …
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease
Artificial intelligence (AI) systems are increasingly used in healthcare applications, although
some challenges have not been completely overcome to make them fully trustworthy and …
some challenges have not been completely overcome to make them fully trustworthy and …
Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features
Background and objectives Parkinson's disease is a neurological disorder that affects the
motor system producing lack of coordination, resting tremor, and rigidity. Impairments in …
motor system producing lack of coordination, resting tremor, and rigidity. Impairments in …
Apkinson: the Smartphone Application for Telemonitoring Parkinson's Patients Through speech, Gait and Hands Movement
Aim: This paper introduces Apkinson, a mobile application for motor evaluation and
monitoring of Parkinson's disease patients. Materials & methods: The App is based on …
monitoring of Parkinson's disease patients. Materials & methods: The App is based on …