An Ultra-low-Power Integrated Heartbeat ...
Document type :
Partie d'ouvrage
Title :
An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors
Author(s) :
Gautier, Antoine [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Dael, Marine [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Benarrouch, Robin [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Larras, Benoit [Auteur]
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]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Dael, Marine [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Benarrouch, Robin [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Larras, Benoit [Auteur]
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]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Book title :
Body Area Networks. Smart IoT and Big Data for Intelligent Health
Publisher :
Springer International Publishing
Publication place :
Cham
Publication date :
2020-12-15
ISBN :
ISBN 978-3-030-64990-6 ; eISBN 978-3-030-64991-3
English keyword(s) :
Heartbeat detection
Integrated circuit design
2-electrode sensing
FD-SOI technology
Integrated circuit design
2-electrode sensing
FD-SOI technology
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
To optimize energy consumption in wearable sensor networks, an efficient scheme is to set the sensors in sleep mode and wake them up to engage communication. However, synchronicity between the sensors needs to be assured ...
Show more >To optimize energy consumption in wearable sensor networks, an efficient scheme is to set the sensors in sleep mode and wake them up to engage communication. However, synchronicity between the sensors needs to be assured by always-on local oscillators. This work proposes a different topology that takes advantage of the heart beat to wake-up wearable sensors. The electrocardiogram (ECG) is detected by two probes and then converted into a pulse signal. Using 28-nm FD-SOI CMOS technology, this solution is implemented on a circuit consuming 19 nW at a 900 mV supply voltage, hence suitable for long term and wearable applications.Show less >
Show more >To optimize energy consumption in wearable sensor networks, an efficient scheme is to set the sensors in sleep mode and wake them up to engage communication. However, synchronicity between the sensors needs to be assured by always-on local oscillators. This work proposes a different topology that takes advantage of the heart beat to wake-up wearable sensors. The electrocardiogram (ECG) is detected by two probes and then converted into a pulse signal. Using 28-nm FD-SOI CMOS technology, this solution is implemented on a circuit consuming 19 nW at a 900 mV supply voltage, hence suitable for long term and wearable applications.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Source :