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Conference Papers Year : 2023

On the potential of AI based health assessment from photopletysmographic signals

Abstract

The necessity of implementing new options to improve telemedicine has gained much importance in recent years. Among all the available technologies, photoplethysmography is turning out to be a promising resource. Its cost effectiveness and its usability allow its embedding in several devices without the need of constraining requirements. In this paper, we explore how artificial intelligence-based approaches could improve the photoplethysmography use by leveraging its potential and minimizing its disadvantages.
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Dates and versions

hal-04178788 , version 1 (08-08-2023)

Identifiers

  • HAL Id : hal-04178788 , version 1

Cite

Serena Zanelli, Mounim El Yacoubi, Magid Hallab, Mehdi Ammi. On the potential of AI based health assessment from photopletysmographic signals. Colloque en TéléSANté et dispositifs biomédicaux : JETSAN, Jun 2023, Paris, France. ⟨hal-04178788⟩
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