Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning
 
research article

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning

Aiassa, Simone
•
Motto Ros, Paolo
•
Ny Hanitra, Mandresy Ivan  
Show more
March 19, 2021
IEEE Transactions on Biomedical Circuits and Systems

Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anaesthesiologist and patient with continuous drug monitoring. Direct detection of drugs is achieved with electrochemical techniques, and several options are present in literature to measure propofol (widely used anaesthetics). Still, the sensors proposed do not enable in-situ detection, they do not provide this information continuously, and they are based on bulky and costly lab equipment. In this paper, we present a novel smart pen-shaped electronic system for continuous monitoring of propofol in human serum. The system consists of a needle-shaped sensor, a quasi digital front-end, a smart machine learning data processing, in a single wireless battery-operated embedded device featuring Bluetooth Low Energy (BLE) communication. The system has been tested and characterized in real, undiluted human serum, at 37 ∘ C. The device features a limit of detection of 3.8 μ M, meeting the requirement of the target application, with an electronics system 59% smaller and 81% less power consuming w.r.t. the state-of-the-art, using a smart machine learning classification for data processing, which guarantees up to twenty continuous measure.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1109/TBCAS.2021.3067388
Author(s)
Aiassa, Simone
Motto Ros, Paolo
Ny Hanitra, Mandresy Ivan  
Tunzi, Davide
Martina, Maurizio
Carrara, Sandro  
Demarchi, Danilo
Date Issued

2021-03-19

Published in
IEEE Transactions on Biomedical Circuits and Systems
Volume

15

Issue

2

Start page

294

End page

302

Subjects

Anaesthesia

•

Electrochemical sensor

•

Embedded device

•

Machine learning (ML)

•

Therapeutic drug monitoring (TDM)

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSI1  
Available on Infoscience
June 1, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178432
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés