Titre :

Using Haptic Feedback in Digital Rectal Examination Training

Auteur(s) :

Tian, Sizhe [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Inria Lille - Nord Europe
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille
Adagolodjo, Yinoussa [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Inria Lille - Nord Europe
École polytechnique universitaire de Lille [Polytech Lille]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille
Dequidt, Jeremie [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Inria Lille - Nord Europe
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Date de publication :

2024

Mot(s)-clé(s) en anglais :

Medical Simulation Digital Rectal Exam Augmented Reality
Medical Simulation
Digital Rectal Exam
Augmented Reality

Discipline(s) HAL :

Informatique [cs]/Robotique [cs.RO]

Résumé en anglais : [en]

Prostate cancer is one of the most common cancer globally, particularly among men aged over 50. Digital rectal examination (DRE) is one of the first-line method for diagnosing and screening for the prostate cancer. However, ...
Lire la suite >Prostate cancer is one of the most common cancer globally, particularly among men aged over 50. Digital rectal examination (DRE) is one of the first-line method for diagnosing and screening for the prostate cancer. However, medical students often lack sufficient training in performing DRE effectively. In this regard, we are developing a digital tool that seamlessly integrates digital simulation with haptic feedback to transform DRE training. Our method relies on the Finite Element Method (FEM) to create a detailed model of the probing-finger, organs, and their interactions. The contact forces generated by the probing-finger's movements in simulation, are then fed back to the user via a haptic device. We aim to accurately replicate mechanical properties associated with prostate in different conditions and provide realistic feedback, facilitating the preparation of medical professionals for DRE procedures. This approach has the potential to improve the effectiveness and accessibility of DRE training, ultimately contributing to better patient care and outcomes in prostate cancer diagnosis and management.Lire moins >

Langue :

Anglais

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL