Pelvitrack

Pelvic tissues, supporting the pelvic floor, can change in physical properties during lifetime, leading to dysfunctions commonly known as Pelvic Floor Disorders (PFDs). These disorders, encompassing pelvic pain, pelvic organ prolapses, urinary or anal incontinence or dyspareunia, affect 32% females and 16% males worldwide, making it a major health concern. Various factors such as older age, menopause, obesity or intense physical activity are significant contributors. However, the occurrence of PFDs is mainly due to traumatic events. Indeed, perineal tears, taking place in 90% of vaginal deliveries (VDs), have been identified to be a high-risk factor of PFDs.

As an answer, PELVITRACK’s ambition is to enable the systematic prevention of PFDs, ensuring earlier diagnosis, more reliable prognosis, and more efficient care. More specifically, the project will design a real-time turnkey lab-scale solution to monitor perineal tearing during VD and minimize pelvic traumas. This revolution in the monitoring of the pelvic floor will be achieved through a hybrid experimental and numerical approach, leveraging ex vivo data and computational  odelling on pig perineum to select IDEVs (Investigated DEVices) that will be adapted and validated in vivo on animals (preclinical study) and women (clinical studies).

To achieve its ambitious goal, PELVITRACK gathers a unique interdisciplinary consortium of 11 partners including  enowned research institutions, universities, hospitals and SMEs to cover all the required scientific expertise and knowledge in mechanics, computer science, electrical and thermal engineering, acoustics, optics and obstetric physics. Exploring new technologies to predict perineal trauma in real time, PELVITRACK delineates a high-risk/high-gain proposal that will significantly contribute to the health and wellbeing of females in Europe and beyond.

VC's role in the project will be the development of a data management software (DMS), which will allow the monitoring of the project's data. The software will use “future-proof” standards based on two-level approach for textual data (e.g. openEHR and similar). The software will be able to store data (from instrumented tests (forces, stretches), from IDEVs (temperature, elasticity index, EMG data, anisotropy index), remark on observable tearing or not, video, images (from optical devices DIC), and metadata, from WPs participants through unified form. The software is intended to be used to collect and monitor data throuhout the project, from ex vivo experiments to data from live ewes and post-partum women.