The startup develops a digital health platform that integrates data from portable EEG headbands with deep neuro analytics to deliver gamified rehabilitation programs for brain injury patients. This technology provides real-time AI-driven insights to clinicians, enabling them to monitor patient progress and prevent regression due to overexertion.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Concussions are often poorly understood and managed, leading to delayed or incomplete recovery for many individuals. The invisible nature of these injuries makes it difficult to objectively monitor progress and adjust rehabilitation strategies, leaving patients feeling isolated and disempowered.
Solution
Neurovine offers a digital health platform that combines a wearable EEG sensor band with AI-driven analytics to provide real-time insights into brain function during concussion recovery. The system monitors brain energy levels and sends notifications when the brain needs rest, helping patients to actively manage their cognitive exertion. This technology enables personalized cognitive pacing strategies, improves communication between patients and clinicians, and facilitates a more effective return to work, sport, or school. By making the invisible aspects of concussion visible, Neurovine empowers patients to take control of their recovery journey and advocate for their needs within the medical system.
Target Audience
The primary target audience includes individuals recovering from concussions, as well as clinicians, athletic trainers, and healthcare providers involved in concussion management and rehabilitation.
Features
- EEG Sensorband: A comfortable wearable device that monitors brain activity non-invasively
- Real-time Brain Energy Monitoring: Provides continuous data on brain function and exertion levels
- Mobile App: Delivers personalized notifications and insights to patients, guiding cognitive pacing
- Cloud-Based Analytics: Uses AI algorithms to analyze EEG data and identify patterns indicative of overexertion or recovery progress
- Clinician Dashboard: Offers a secure web portal for clinicians to review patient data, track progress, and adjust treatment plans remotely
- Gamified Rehabilitation Programs: Integrates engaging exercises and activities to promote active participation in recovery
- Data-Driven Decision Making: Supports evidence-based treatment adjustments and personalized rehabilitation strategies