Delica - Version EDS - Software for Embolic Detection
Based on neural network signal analysis, the EDS versatile embolic detection system can be operated in conjunction with Delica Doppler systems or other TCD devices. Developed by Dr. R.W.M. Keunen MD PhD1, a Dutch neurologist, EDS applies periodicity analysis to the TCD audio signals. This approach, in combination with artificial intelligence algorithms, trained on thousands of actual events, reliably detects and differentiates emboli from artifacts. Additionally, emboli can be categorized into gaseous and particulate matter. TCD data are evaluated in real-time and continuously stored. Each event will be analyzed and sorted in its category ensuring seamless documentation. While the session proceeds, histograms give an overview of the embolic activity.
Each event can be recalled in the frequency and time domains, zoomed, verified, and manually reclassified. EDS is suited for both detection of micro-embolic signature, and peri-operative monitoring with occurrence of embolic showers.
In comparison to human experts, the validated EDS algorithm impresses with an overall accuracy of 96%, a sensitivity and specificity of 93% and 98% respectively, in detecting emboli and artefacts.
The combination of EDS and Delica TCD devices offers a particularly practical and reliable solution for embolic signature detection. Due to its conveniently small size, this configuration allows portable application in the neuro-vascular lab, bed-side, or in the OR.
- Stroke Units – TIA services – Carotid and cardio-vascular surgery – Stenting
- Validated Algorithms with 96% overall accuracy
- Based on Neural Networks
- No user adjustments or thresholds
- User friendly and economical solution