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Communication Dans Un Congrès Année : 2024

A highly configurable platform for advanced PPG analysis ⋆

Résumé

Growing interest in healthcare applications has made biomedical engineering one of the fastest growing disciplines in recent years. is one of these trends since sensors are embedded into many devices like smartwatches or oximeters. Due to the versatility of , it is the technique of choice for the non-invasive monitoring of vital signs such as heart rate, respiratory rate, blood oxygen saturation and blood pressure. However, commercial pulse oximeters often use proprietary data acquisition and visualization techniques, making digital signal processing on raw data difficult or impossible. This paper presents a hardware platform for the exploration of new biological signal analysis based on . The originality of the platform is to expand the number of wavelengths to 8 and to allow the parameterization of the acquisition by choosing the sample rate. This allows the sensor to be adapted to the needs of analysis on the whole signal or perform high precision measurements. Much consideration has been given to the accurate data acquisition during sports activities.
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Dates et versions

hal-04613853 , version 1 (17-06-2024)

Identifiants

  • HAL Id : hal-04613853 , version 1

Citer

Flavie Durand de Gevigney, Jean-François Nezan, Eric Bazin, Mickaël Dardaillon, Slaheddine Aridhi. A highly configurable platform for advanced PPG analysis ⋆. DASIP 2024, Jan 2024, Munich (Allemagne), Germany. ⟨hal-04613853⟩
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