Neolook Solutions BV
Utrecht Inc.| Padualaan 8 | 3584 CH Utrecht
The Netherlands
hello@neolooksolutions.com
Chamber of Commerce 77050797
Convulsion detection
Detect potential seizures immediately with Convulsions detection.
Real-time video analysis enables quick identification of convulsions as they happen.
AI algorithm to detect convulsions
Convulsion Detection continuously monitor babies for abnormal and repetitive movements suggestive of seizures. It also detects visual cues for impending potential seizures, serving as a non-invasive and contactless alarm system for swift clinical intervention.
AI you can rely on
Our studies show that our model is accurate in detecting 95.9% of seizures. Our Livestream video recording works in parallel to provide better on-site documentation and evidence, reducing the time gap in diagnosis and assessment of seizures.
Seamless integration into your workflow
The AI’s data and results can be conveniently viewed in a real-time dashboard, allowing the healthcare team to easily monitor all of their patients at once.
"You know how much time this saves us? If we would just have the video of the event during handovers."
Description
- Detects convulsions and potential seizures in neonates
- Hands-off monitoring, round-the-clock
- Alert system for the healthcare team
- Proven accuracy
- Video evidence to guide clinical diagnosis, research and team hand-offs
- Coordinated with your workflow
- Compatible with many 3rd party apps used in hospital settings
- User-friendly design made for healthcare practitioners
- Security and privacy by design
FAQ
The AI analysis provides an automated and objective method of seizure movements, which can be used to supplement the visual assessment of physicians. This can allow large-scale implementation of diagnosis or exclusion of disorders such as epilepsy.
It can be used separately or in parallel. Our S2S package offers live streaming, so this software can record audio along with visual data. Alternatively, it can be used alone and thus record audio alone.
Recorded videos can be transformed into a quantified analysis of infant movements, producing a “stick figure” model. This stick figure extraction allows the infant’s movements to be analysed without the use of their face.