Project description
An electrode cap and cloud-connected mobile phone app enable remote diagnosis of epilepsy
Epilepsy affects more than 50 million people globally. In high-income countries, diagnosis and medication enable most to live seizure free. Eighty percent of people with epilepsy live in low- and middle-income countries. The inexpensive and readily available medicines are useless without the equipment and neurologists needed for diagnoses. The Danish start-up BrainCapture has developed a pioneering, affordable, Bluetooth-enabled electrode cap and smartphone app for data collection and upload to the cloud. The EIC-funded EDISON project will support scale-up of the cap and app, complete with AI-based quality control, placing high-quality electroencephalogram data in the hands of remote neurologists and supporting accurate diagnosis and treatment for all.
Objective
About 40M people in low- and middle-income countries (LMIC) suffer from epilepsy-related seizures but not all are diagnosed and treated due to the lack of electroencephalogram (EEG) devices and neurologists in these regions.
BrainCapture (BC) is developing an EEG-based diagnosis service (BrainCap) for epilepsy and other neurological disorders that fits LMIC needs since it is affordable, uses mobile phone infrastructure and does not need an EEG expert on-site for data capture due to an AI-based Quality Control (QC) algorithm. Data is analysed by remotely placed neurologists who provide a diagnosis and treatment plan via the BrainCap app/cloud.
Our field trials revealed that there is a clinical need for BrainCap. Now, we will finish the product design, optimize the QC algorithm, and extend clinical validation to multiple sites to convince KOLs in several primary markets. The EIC investment will be key to create EEG market in LMICs, leveraging a significant business opportunity for BC.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
2800 Kongens Lyngby
Denmark
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.