The project

Minze Health developed a uroflowmetry device that measures the volume, speed and duration of urine release, allowing doctors to diagnose potential issues. The sensor is placed in the toilet bowl, serving as a pressure sensor.

Sentigrate assisted Minze Health in removing potential unwanted artefacts in the data measured by the sensor device.

Wolk Airbag is a company based in the Netherlands that is developing a smart airbag that inflates when fall detection occurs. They provide analytics to all caregivers involved so the benefits of a Wolk Airbag can be quantified objectively.

As an IT partner of Wolk Airbag, Sentigrate helps with the onboarding workflow for new hardware consisting of a sleeve and a board. The onboarding consists of several steps, such as coupling the two modules, activating a SIM card and performing quality control.

Sentigrate helped MEDAMAN to set up an environment of clinical software for RZ Heilig Hart Tienen, a hospital in Tienen. This environment includes several OHDSI components. OHDSI (Observational Health Data Sciences and Informatics) is an organisation developing and providing open source software. Among these software packages are those which provide data analysis tools, cohort study tools, prediction tools and several more.

FoG episodes prevent Parkinson’s patients from moving freely as desired, often at the worst times. If detected, or even predicted, these episodes can be averted by exposing the patient to specific cues.

Sentigrate works together with KU Leuven to develop a first-of-its-kind predictive algorithm for FoG episodes, based on wearable EEG data. Additionally, Sentigrate aims to create a proof-of-concept (POC) solution to cue FoG patients, improving their autonomy.

Differential diagnosis between primary psychiatric syndromes (non-degenerative/functional disorders e.g. depression) and different types of neurocognitive disorders (neurodegenerational disorders e.g. Alzheimer’s disease) can be very challenging in clinical practice due to the fact that current diagnosis methodologies are based on a subjective classification by the neuropsychologist, radiologist, nuclear radiologist, as well as by the clinician who integrates all different types of available information. Diagnoses are thus based on subjective interpretations of neural, cognitive, emotional and behavioral changes in the patient, measured via different types of data modalities.

Sentigrate developed an advanced system that significantly reduces human intervention in the sterilization process of surgical instruments in hospitals. By integrating a state-of-the-art indoor localization system with an intelligent on-site software framework, their technology enables real-time tracking of smart sterilization boxes throughout the entire reprocessing cycle. This ensures that each box undergoes all required sterilization stages with precisely the right conditions and timing, improving both efficiency and reliability.

Through this collaboration, Ansana and Sentigrate are introducing a more reliable, data-driven approach to medical sterilization, addressing key challenges such as logistical inefficiencies, compliance risks, and resource waste. By leveraging tracking and automation technologies, the SteriWatch project aims to improve operational efficiency and environmental sustainability in hospitals.

This project is funded by the Crossroads project of Interreg Vlaanderen-Nederland.