Smart healthcare monitoring: a voice pathology detection paradigm for smart cities

MS Hossain, G Muhammad, A Alamri - Multimedia Systems, 2019 - Springer
With the increasing demand for automated, remote, intelligent, and real-time healthcare
services in smart cities, smart healthcare monitoring is necessary to provide improved and …

Novel multi center and threshold ternary pattern based method for disease detection method using voice

T Tuncer, S Dogan, F Özyurt, SB Belhaouari… - IEEE …, 2020 - ieeexplore.ieee.org
Smart health is one of the most popular and important components of smart cities. It is a
relatively new context-aware healthcare paradigm influenced by several fields of expertise …

An automatic health monitoring system for patients suffering from voice complications in smart cities

Z Ali, G Muhammad, MF Alhamid - Ieee Access, 2017 - ieeexplore.ieee.org
Current evolutions in the Internet of Things and cloud computing make it believable to build
smart cities and homes. Smart cities provide smart technologies to residents for the …

A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms

FT Al-Dhief, NMA Latiff, NNNA Malik, NS Salim… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

Voice disorder identification by using machine learning techniques

L Verde, G De Pietro, G Sannino - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, the use of mobile devices in the healthcare sector is increasing significantly.
Mobile technologies offer not only forms of communication for multimedia content (eg clinical …

Healthcare big data voice pathology assessment framework

MS Hossain, G Muhammad - iEEE Access, 2016 - ieeexplore.ieee.org
The fast-growing healthcare big data plays an important role in healthcare service providing.
Healthcare big data comprise data from different structured, semi-structured, and …

Convergence of artificial intelligence and internet of things in smart healthcare: a case study of voice pathology detection

G Muhammad, M Alhussein - Ieee Access, 2021 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and the Internet of Things (IoT) has tremendous
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …

Voice pathology detection and classification using auto-correlation and entropy features in different frequency regions

A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali… - Ieee …, 2017 - ieeexplore.ieee.org
Automatic voice pathology detection and classification systems effectively contribute to the
assessment of voice disorders, enabling the early detection of voice pathologies and the …

Investigation of voice pathology detection and classification on different frequency regions using correlation functions

A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali - Journal of Voice, 2017 - Elsevier
Summary Objectives and Background Automatic voice pathology detection and
classification systems effectively contribute to the assessment of voice disorders, which …

Smart health solution integrating IoT and cloud: A case study of voice pathology monitoring

G Muhammad, SKMM Rahman… - IEEE …, 2017 - ieeexplore.ieee.org
The integration of the IoT and cloud technology is very important to have a better solution for
an uninterrupted, secured, seamless, and ubiquitous framework. The complementary nature …