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Guess what we can hear—novel voice biomarkers for the remote detection of disease
The advancement of digital biomarkers and the provision of remote health care greatly
progressed during the coronavirus disease 2019 global pandemic. Combining voice/speech …
progressed during the coronavirus disease 2019 global pandemic. Combining voice/speech …
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform
In recent years, there has been increasing interest in the development of telediagnosis and
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …
Deep learning-based Parkinson's disease classification using vocal feature sets
H Gunduz - Ieee access, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …
and non-motor characteristics. PD patients commonly face vocal impairments during the …
On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art
JA Gómez-García, L Moro-Velázquez… - … Signal Processing and …, 2019 - Elsevier
This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …
voice condition analysis systems. The goal of this paper is to provide to the scientific …
Detection of pathological voice using cepstrum vectors: A deep learning approach
Objectives Computerized detection of voice disorders has attracted considerable academic
and clinical interest in the hope of providing an effective screening method for voice …
and clinical interest in the hope of providing an effective screening method for voice …
Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease
There has been considerable recent research into the connection between Parkinson's
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …
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 …
Cloud-supported cyber–physical localization framework for patients monitoring
MS Hossain - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
The potential of cloud-supported cyber-physical systems (CCPSs) has drawn a great deal of
interest from academia and industry. CCPSs facilitate the seamless integration of devices in …
interest from academia and industry. CCPSs facilitate the seamless integration of devices in …
Voice pathology detection using deep learning on mobile healthcare framework
M Alhussein, G Muhammad - IEEE Access, 2018 - ieeexplore.ieee.org
The feasibility and popularity of mobile healthcare are currently increasing. The
advancement of modern technologies, such as wireless communication, data processing …
advancement of modern technologies, such as wireless communication, data processing …
A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms
The incorporation of the cloud technology with the Internet of Things (IoT) is significant in
order to obtain better performance for a seamless, continuous, and ubiquitous framework …
order to obtain better performance for a seamless, continuous, and ubiquitous framework …