The startup develops minimally invasive implantable electroencephalogram monitors that provide objective biometric data for assessing epilepsy burden. This data is transmitted to the cloud via a smartphone, where it is analyzed using artificial intelligence and machine learning to enhance patient management and reduce healthcare costs.
Funding
$554K 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
Current methods for long-term electroencephalography (EEG) monitoring are limited, often requiring invasive procedures or providing data for only a few days, which is insufficient for capturing the dynamic nature of brain disorders. Subjective seizure reporting by patients and families is often inaccurate, leading to under-treated or untreated seizures and contributing to poor quality of life and increased healthcare costs.
Solution
Neuroview Technology offers a minimally invasive, implantable subgaleal EEG monitoring platform that provides continuous, objective biometric data for assessing neurological state over extended periods. The device, implanted via a brief outpatient procedure, records EEG data and transmits it to a secure cloud platform via a smartphone. Clinicians can access comprehensive data analytics, powered by AI and machine learning, for efficient review, enabling accurate seizure detection, optimized management, and personalized care. The platform aims to improve outcomes, reduce costs, and enhance the quality of life for patients with epilepsy and other neurological disorders.
Target Audience
The primary target audience includes neurologists, epileptologists, and other healthcare professionals involved in the diagnosis, monitoring, and management of patients with epilepsy and other neurological disorders.
Features
- Minimally invasive implantation in the subgaleal space, performed as an outpatient procedure
- Long-term EEG monitoring for up to 3 years, enabling comprehensive data collection
- Wireless data transmission to a secure cloud platform via a patient's smartphone
- AI/ML-powered analytics for accurate seizure detection and classification
- Clinician web portal for efficient review of EEG data and trends
- Integration of EEG data with other relevant clinical features for personalized insights
- Continuous monitoring to prevent false characterization of events and optimize management