Mixed Hardware and Software Embedded Signal Processing Methods for in-situ Analysis of Cardiac Activity

Bertrand Massot 1 Tanguy Risset 2 Gregory Michelet 1 Eric Mcadams 1
1 INL - Capteurs - INL - Capteurs Biomédicaux
INL - Institut des Nanotechnologies de Lyon
2 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : This paper presents the implementation of a combination of hardware and software signal processing methodson a wearable device for the continuous and long-term monitoring and analysis of cardiac activity during insituexperiments. Heart rate assessment and heart rate variability parameters are computed in real-time directlyon the sensor, thus only few parameters are sent via wireless communication for power saving. Hardwaremethod for heart rate measurement, and software methods for the calculation of time-domain and frequencydomainparameters of heart rate variability are described, and preliminary tests for the evaluation of the sensorare presented.1
Type de document :
Communication dans un congrès
9th International Joint Conference on Biomedical Engineering Systems and Technologies - : Smart-BIODEV,, 2016, Rome, Italy. Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV,, 4, 2016, 〈10.5220/0005843703030310〉
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https://hal.inria.fr/hal-01416701
Contributeur : Tanguy Risset <>
Soumis le : mercredi 14 décembre 2016 - 17:16:15
Dernière modification le : mercredi 11 avril 2018 - 01:55:25

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Bertrand Massot, Tanguy Risset, Gregory Michelet, Eric Mcadams. Mixed Hardware and Software Embedded Signal Processing Methods for in-situ Analysis of Cardiac Activity. 9th International Joint Conference on Biomedical Engineering Systems and Technologies - : Smart-BIODEV,, 2016, Rome, Italy. Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV,, 4, 2016, 〈10.5220/0005843703030310〉. 〈hal-01416701〉

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