Case Study: Dutch Epilepsy Clinics Foundation achieves automated detection and diagnosis of epileptic seizures with MathWorks

Dutch Epilepsy Clinics Foundation Automates the Detection and Diagnosis of Epileptic Seizures

The Dutch Epilepsy Clinics Foundation faced a labor‑intensive, costly diagnostic workflow that required synchronized EEG and hours of video review to identify seizure activity. To build an automated, real‑time video‑based detection system, the foundation worked with MathWorks, using MATLAB, Simulink and the Computer Vision System Toolbox along with Image Acquisition, Image Processing, Signal Processing, and Statistics and Machine Learning toolboxes to support video acquisition, algorithm development, and validation.

Using MathWorks tools, the team implemented a modular system that acquires video, applies optical‑flow–based motion analysis and statistical validation, and outputs alerts or markers for clinician review. In testing the MathWorks‑based solution detected 10–25% more seizures over a 24‑hour period than initially recognized, achieved about 99% accuracy when only the patient was in frame, and is expected to allow SEIN to process roughly three times as many patients without expanding staff, improving patient safety and reducing costs.