SmartVista: Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Poster Year : 2019

SmartVista: Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring

Nadine Azemard
Jonas Tilly
  • Function : Author
Shane Geary
  • Function : Author
Aida Todri-Sanial

Abstract

The SmartVista is dedicated to develop a personalized self-powered smart multi-modal vital sign monitoring wearable patch that is seamlessly integrated with the skin with multi-fold increased sensor accuracy. We are investigating one- and two-dimensional (1D/2D) nanomaterials, including carbon nanotubes (CNTs), silver nanowires (Ag NWs), and molybdenum disulfide (MoS2) sheets, to develop ultra-sensitive and highly-stretchable skin-like biosensors used for the monitoring of health-related physiological body signals. Both theoretical and experimental studies are on-going for the optimization of sensor’s design and performance. Furthermore, to ensure autonomy of the smart sensor, 3D printable battery powered by energy harvesting module is integrated on a single flexible device platform. For energy harvesting, thermoelectric generator (TEG) modules are being developed to harvest power from the body heat and temperature gradient. The entire system will be powered by a 3D printed battery, which reduces the battery form factor significantly and allows for drastic system miniaturization that is crucial for wearables. The present wearable and implantable autonomous sensing device has significant potential to be employed for doctor – patient mobile health monitoring system.
No file

Dates and versions

lirmm-02387949 , version 1 (30-11-2019)

Identifiers

  • HAL Id : lirmm-02387949 , version 1

Cite

Abhishek Singh Dahiya, Benoît Charlot, Marwa Dhifallah, Thierry Gil, Nadine Azemard, et al.. SmartVista: Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring. Workshop on ‘Smart Bioelectronic and Wearable Systems’, Oct 2019, Brussels, Belgium. , 2019. ⟨lirmm-02387949⟩
258 View
0 Download

Share

More