Video conferencing algorithms for enhanced access to mental healthcare services in cloud-powered telepsychiatry

Exploring the video conferencing algorithms for cloud-powered telepsychiatry to improve mental healthcare access. The goal is to evaluate and optimise these algorithms' latency, bandwidth utilisation, packet loss, and jitter across worldwide locations. To provide a smooth and high-quality virtual consultation between patients and mental health providers. Using performance data to identify areas for development, the effort aims to lower technological hurdles and increase telepsychiatry session dependability. Findings will help create strong, efficient algorithms that can handle different network situations, increasing patient outcomes and extending mental healthcare services. In the 1st instance latent analysis in a sample of 5 cities, the average latency (ms) is 45, the peak latency is 120, the off-peak latency is 30, and the packet loss is 0.5. In another instance, bandwidth utilisation in a sample of 5 sessions ranged from 30 to 120 minutes, with data supplied in MB - 150-600 and received in MB - 160-620, with average bandwidth (Mbps) - 5-15 and maximum bandwidth: 10-20.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2024-11-18
DOI
https://doi.org/10.11591/ijece.v15i1.pp1142-1151
Citations
25
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
13.57
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article

Video conferencing algorithms for enhanced access to mental healthcare services in cloud-powered telepsychiatry

M. Shobana, R. Senkamalavalli, Jayavarapu Karthik, S. Murugan et al.
25 citations
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Telemedicine and Telehealth Implementation
13.57
article

Video conferencing algorithms for enhanced access to mental healthcare services in cloud-powered telepsychiatry

M. Shobana, R. Senkamalavalli, Jayavarapu Karthik, S. Murugan, S. Prasad, Chellaiyan Bharathi Sri, Rajendar Sandiri
article en
25 citations

Abstract

Exploring the video conferencing algorithms for cloud-powered telepsychiatry to improve mental healthcare access. The goal is to evaluate and optimise these algorithms' latency, bandwidth utilisation, packet loss, and jitter across worldwide locations. To provide a smooth and high-quality virtual consultation between patients and mental health providers. Using performance data to identify areas for development, the effort aims to lower technological hurdles and increase telepsychiatry session dependability. Findings will help create strong, efficient algorithms that can handle different network situations, increasing patient outcomes and extending mental healthcare services. In the 1st instance latent analysis in a sample of 5 cities, the average latency (ms) is 45, the peak latency is 120, the off-peak latency is 30, and the packet loss is 0.5. In another instance, bandwidth utilisation in a sample of 5 sessions ranged from 30 to 120 minutes, with data supplied in MB - 150-600 and received in MB - 160-620, with average bandwidth (Mbps) - 5-15 and maximum bandwidth: 10-20.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 15(1)
SRM Institute of Science and Technology (IN), Wright Institute (US), Velammal Medical College Hospital and Research Institute (IN), Saveetha University (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 1%
Telemedicine and Telehealth Implementation
13.57
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