Titre :

A DSP-Based EBI, ECG, and PPG Measurement Platform

Auteur(s) :

Abdullayev, Anar [Auteur]
Tallinn University of Technology [TalTech]
Rist, Marek [Auteur]
Tallinn University of Technology [TalTech]
Martens, Olev [Auteur]
Tallinn University of Technology [TalTech]
Metshein, Margus [Auteur]
Tallinn University of Technology [TalTech]
Larras, Benoit [Auteur]
JUNIA [JUNIA]
Microélectronique Silicium - IEMN [MICROELEC SI - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Frappe, Antoine [Auteur]
Microélectronique Silicium - IEMN [MICROELEC SI - IEMN]
JUNIA [JUNIA]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Gautier, Antoine [Auteur]
Microélectronique Silicium - IEMN [MICROELEC SI - IEMN]
JUNIA [JUNIA]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Min, Mart [Auteur]
Tallinn University of Technology [TalTech]
John, Deepu [Auteur]
University College Dublin [Dublin] [UCD]
Cardiff, Barry [Auteur]
University College Dublin [Dublin] [UCD]
Krivošei, Andrei [Auteur]
Annus, Paul [Auteur]
Tallinn University of Technology [TalTech]

Titre de la revue :

IEEE Transactions on Instrumentation and Measurement

Pagination :

1-8

Éditeur :

Institute of Electrical and Electronics Engineers

Date de publication :

2023

ISSN :

0018-9456

Mot(s)-clé(s) en anglais :

Digital signal processor (DSP)
electrical bioimpedance (EBI)
electrocardiography (ECG)
impedance cardiography (ICG)
photoplethysmography (PPG)
test and evaluation platform

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Electronique

Résumé en anglais : [en]

A test and evaluation platform has been developed to research and develop solutions and algorithms for joint acquisition, processing, and reasoning from the electrical bioimpedance (EBI), electro-cardiography (ECG), and ...
Lire la suite >A test and evaluation platform has been developed to research and develop solutions and algorithms for joint acquisition, processing, and reasoning from the electrical bioimpedance (EBI), electro-cardiography (ECG), and photoplethysmography (PPG) signals. The solution is based on the low-cost Launchpad of the Texas Instrument TMS320F28379D dual core 16/32-bit digital signal processor (DSP) with 16-bit multichannel analog-to-digital converter (ADC) and several other peripherals (pulse-width modulation (PWM), ADC, timers, I2C, serial peripheral interface (SPI), a lot of static random-access memory (SRAM) and flash memory). In the simplest mode, the platform is used to simultaneously acquire the EBI, ECG, and PPG signals at 1 kHz and send them to the PC by virtual COMport, for further analysis and presentation. The EBI, ECG, and PPG signals are sampled with a 16-bit ADC and have a resolution of more than four decimal digits, with an EBI error of less than 0.002%. In the next stage, various embedded and “at the edge” measurement algorithms will be developed, tested, demonstrated, and evaluated on this platform.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Projet ANR :

Event Driven Artificial Intelligence Hardware for Biomedical Sensors

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL