Redefining

Neuromuscular 

Monitoring

Through mobile applications, EMG monitoring devices and predictive analytics, our goal is to improve the way neuromuscular monitoring is being performed. 

 
 

An Interdisciplinary Research Project

As an interdisciplinary research effort, Riglo combines innovative data-analysis techniques together with EMG technology in order to provide enhanced clinical decision support within the domain of Anesthesia.

 

Our research findings and results are translated into technology for every-day use with the purpose to improve patient healthcare:

 

  1. Mobile application as a practical tool to perform quantitative neuromuscular monitoring.

  2. EMG hardware prototype with state-of-the-art clinical decision support.

  3. Predictive AI algorithms that go beyond monitoring and forecast a patient's neuromuscular blockade.

Neuromuscular 

monitoring

Neuromuscular monitoring refers to the monitoring of a patient's muscular function during and after surgery. It enables an anesthesiologist to follow up on the effect of muscular-paralysing drugs, and is required to decide when a patient can safely be removed from breathing support.  

In approximately 60% of surgeries performed worldwide, patients are given muscular-paralyzing drugs. By paralysing the breathing muscles, patients need to be given artificial support in order to breathe.

 

As a consequence of inadequate neuromuscular monitoring, (severe) complications from residual paralysis can result when a patient no longer receives breathing support.

 
tijdslijn.png

140 million patients per year.
 

60% of all surgical operations in the world are being performed with muscular-paralyzing drugs and require neuromuscular monitoring.

Mortality.

14%–30% of patients who develop severe respiratory complications die within 30 days of major surgery.

Postoperative airway and respiratory complications.

20-40% of patients are diagnosed with residual paralysis.

Importance of Neuromuscular monitoring? 

 

OUR SOLUTIONS

Components Inside of Mobile Phone
Proces van Mobile Repair

Mobile App

Our research group has developed a mobile application that offers a fast and easy way of performing neuromuscular monitoring.

  • Measures muscle contractions of a patient.

  • Our algorithms derive the necessary results to inform anesthesiologists of a patient's neuromuscular blockade status according to the latest norms.

  • Provides anesthesiologists with a practical tool to perform quantitative monitoring when conventional monitors are unavailable.

elektronische chip

EMG

Hardware Prototype

Our latest developments are focused on an electromyography-powered hardware prototype, that is equipped with state-of-the-art clinical decision software.

  • Embedded with EMG-technology to measure electrical impulses.

  • Measures and refines a patient's current degree of muscular activity.  

  • Clinical decision support algorithms filter anomalies that occur during measurement and inform the care-taker.

elektronische chip
analyseren Scans

Predictive

Analysis

Through Deep Learning, we intend to move beyond neuromuscular monitoring and predict a patient's neuromuscular blockade. 

  • Redefine pharmacokinetic and pharmacodynamic models of muscular-paralyzing drugs.

  • Provide predictive analytics to anesthesiologists on the status of their patient.

  • Provide recommendation systems for decision support to the clinical caretaker.  

 

JAN

POELAERT

Head of Anesthesiology

Vrije Universiteit Brussel

University Hospital Brussel

  • Facebook - White Circle
  • LinkedIn - White Circle
  • Twitter - White Circle
POELAERT JAN-.jpg

PATRICE 

FORGET

Clinical Chair in Anaesthesia

University of Aberdeen

  • Facebook - White Circle
  • LinkedIn - White Circle
  • Twitter - White Circle

MICHAEL

VERDONCK

Lead Development Researcher

 

Vrije Universiteit Brussel

University Hospital Brussel

Michael.jpeg

HUGO

CARVALHO

  • Facebook - White Circle
  • LinkedIn - White Circle
  • Twitter - White Circle

Lead Anesthesiologist

 

Vrije Universiteit Brussel

UZ Brussel

 

OUR TEAM

IN COLLABORATION WITH