Pneumological 3D image sequence analysis

  • Swimlane: Default swimlane
  • Column: Draft
  • Position: 2
  • Assignee: Olivier Debeir
  • Creator: Olivier Debeir
  • Started:
  • Created: 07/04/2023 15:33
  • Modified: 17/04/2023 08:31
  • Moved: 07/04/2023 15:33
Description

1) measure and validation of the respiratory pattern

2) coupling of the 3D resiratory monitoring with external devices
(EEG, ECG, force measurement platform).

contact: Olivier Vanhove

3D respiratory pattern detection and monitoring

The project aims to develop a 3D respiratory pattern recorder based on a 3D depth camera acquisition [VanHove23].

Context

The project is done in collaboration with the pneumology department of Erasle hospital.

Objective

  • validate the qualitative and quantitative measures acquired

  • develop a machine learning based system to detect specific respiratory patterns

  • complete the device with connection to external devices (EEG, ECG, force platform ...)

Several aspects are tackled, some related to image acquisition and processing, others to hardware development, depending on the candidate(s), different options can be taken.

Prerequisite

  • Python
  • Linux (the platform used is a Raspberry pi4)
  • C (opt. depending on the hardware development)

Contact person

For more information please contact : olivier.vanhove@hubruxelles.be, olivier.debeir@ulb.be


references

VanHove23

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