Despite significant advances on automatic detection of Parkinson's disease (PD) based on
speech, several open challenges still need to be addressed before a validated computer …

As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a
significant impact on the fine motor skills of patients. The complex interplay of different …

Abstract Empirical Mode Decomposition (EMD) was designed to analyze nonlinear and non-
stationary signals. EMD voice analysis had been applied to Parkinson's sustained vowels …

Speech is a biomarker extensively explored by the scientific community for different health-
care applications because its reduced cost and non-intrusiveness. Specifically, in …

Diadochokinetic speech tasks (DDK) involve the repetitive production of consonant-vowel
syllables. These tasks are useful in detecting impairments, differential diagnosis, and …

Spatiotemporal axle temperature forecasting is crucial for real-time failure detection in
locomotive control systems, significantly enhancing reliability and facilitating early …

Diadochokinetic speech tasks (DDK), in which participants repeatedly produce syllables, are
commonly used as part of the assessment of speech motor impairments. These studies rely …

Deep Learning (DL) has enabled the development of accurate computational models to
evaluate and monitor the neurological state of different disorders including Parkinson's …

Brain diseases, which encompass a wide range of conditions and illnesses brought on by
stroke, Alzheimer's, Parkinson's, traumatic brain injury, and many other conditions, afflict 1 in …

Vocal cord disorders are considered to be the leading cause of Parkinson's disease (PD) for
many people. For this., speech impairments are among the first indicators of this disease. In …