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N°Spécial De Revue/Special Issue Sensors Année : 2022

Biomedical sensors and data processing in human monitoring for E-health

Dan Istrate
Sofiane Boudaoud
  • Fonction : Directeur de publication
  • PersonId : 857467
Jérôme Boudy

Résumé

Biomedical sensor technology advances allow the monitoring of several physiological signals, often in wireless and non-invasive conditions, in order to better monitor and treat diseases and more especially chronical ones. The main medicine challenges are therapy personalization for the patient, predictive diagnosis and the ambulatory monitoring using non-invasive, reliable, and zero effort technology. These new devices must have innovative sensors and embedded systems with specific signal processing related to wireless information and cloud decision systems. Key challenges also involve advanced data analysis related to data fusion and artificial intelligence (AI) for health. In this Special Issue, researchers are invited to submit contributions describing new sensors, new adapted signal processing, wireless information transmission and artificial intelligence (AI) approaches. All innovative studies related to innovative E-Health instrumental chain are also welcome (e.g., data recording and standardization, experimental protocols). Potential topics include, but are not limited, to the following: - Situation-awareness sensors for home monitoring; - Smart sensors (e.g., textiles); - Sensor fusion algorithms; - Signal processing and AI algorithms; - Applications: elderly home monitoring, disease or post-surgery monitoring, physiological state detection (e.g., sleep, stress), telemedicine.
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Dates et versions

hal-03956874 , version 1 (25-01-2023)

Identifiants

  • HAL Id : hal-03956874 , version 1

Citer

Dan Istrate, Sofiane Boudaoud, Jérôme Boudy. Biomedical sensors and data processing in human monitoring for E-health. Sensors, https://www.mdpi.com/si/59999, 2022, MDPI Sensors Special Issue, Section "Biomedical Sensors". ⟨hal-03956874⟩
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