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
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Conference papers
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https://hal.inria.fr/hal-01416701
Contributor : Tanguy Risset <>
Submitted on : Wednesday, December 14, 2016 - 5:16:15 PM
Last modification on : Wednesday, April 17, 2019 - 3:44:27 PM

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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. ⟨10.5220/0005843703030310⟩. ⟨hal-01416701⟩

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