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

• Main Authors: Al-Dhief, F. T., Abdul Latiff, N. M., Nik Abd. Malik, N. N., Salim, N. S., Mat Baki, M., Albadr, M. A. A., Mohammed, M. A.
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/93921/1/FahadTahaAlDhief2020_ASurveyofVoicePathologySurveillanceSystems.pdf; http://eprints.utm.my/id/eprint/93921/; https://doi.org/10.1109/ACCESS.2020.2984925

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. IoT has many applications in the healthcare sector, one of these applications is voice pathology monitoring. Unfortun...