Robust and secured telehealth system for COVID-19 patients

Waheed Ullah, Abid Yahya, Ravi Samikannu, Taolo Tlale

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The demand for Telehealth is rapidly increasing worldwide. Digital solutions in the current epidemic are revealing the powers and flaws of current Telehealth infrastructures. Telehealth brings remote access to medical facilities and covering the extent of physicians and health services. The outbreak of COVID-19 emphasizes the necessity for timely tracking of persons who are infected, and preferably, their connections. Telehealth facilities are speedily becoming a frontline force in the struggle to lessen healthcare-linked COVID-19 spreads, and eventually shielding healthcare professional. Whereas telehealth can substitute competence and accessibility, its dependence on real-time communication of medical records over the cloud also generates danger. At each phase of the practice, hostile measures may happen, together with diagnostic blunders, technical problems, and patient confidentiality and safety defilements. This paper developed a highly secure and robust decoder for the Telehealth model to monitor the patients’ vital signs and psychological signals. The proposed Telehealth system reduced the transmission power and congestion on the database and ensured secured reliable data at the receiving end.

Original languageEnglish
Title of host publicationData Science for COVID-19 Volume 1
Subtitle of host publicationComputational Perspectives
PublisherElsevier
Pages337-349
Number of pages13
ISBN (Electronic)9780128245361
DOIs
Publication statusPublished - Jan 1 2021

All Science Journal Classification (ASJC) codes

  • General Biochemistry,Genetics and Molecular Biology

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