Analysis of eye vergence responses for the early detection and monitoring of cognitive and mental disorders

Projektinformationen

MindTrack

ID Finanzhilfevereinbarung: 885458

DOI

10.3030/885458

Projekt abgeschlossen

EK-Unterschriftsdatum 22 November 2019

Startdatum 1 November 2019

Enddatum 30 April 2020

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 71 429,00

EU-Beitrag

€ 50 000,00

Koordiniert durch

BRAINGAZE SL
Spain

Periodic Reporting for period 1 - MindTrack (Analysis of eye vergence responses for the early detection and monitoring of cognitive and mental disorders)

Berichtszeitraum: 2019-11-01 bis 2020-04-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

Alzheimer’s disease is one of the leading causes of ill-health and disability globally and will continue increasing due to growing aging populations, with high level of social and economic burden. Currently, there are no single solutions to objectively diagnose this disorder. BRAINGAZE has develop MindTrack, which is a unique patented, scientifically validated biomarker-based decision support system for the early and objective diagnosis of cognitive disorders. MindTrack has shown 92% accuracy in the detection of Attention Deficit Hyperactivity Disorder (ADHD) in children and adults. This application is already being commercialized. With this project, we aim at expanding MindTrack potential to other novel application: Alzheimer’s disease early diagnosis

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

Thanks to the Feasibility Study, we have been able to establish the conditions for the realization of a clinical trial for the validation of this new application as well as know our target market in depth, built our value chain (identifying partners and distributors and main competitors) and perform realistic financial projections.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

Traditionally, clinicians have used a variety of approaches, mainly semi-structured interviews and their own expertise for the diagnosis of Alzheimer’s disease. In these last few years, neuroimaging techniques have been also employed. However, these tools present important drawbacks: they are only used once the patient has developed noticeable symptoms (and thus, the disease is in a more advanced developmental stage), interviews are partially subjective and time-consuming and neuroimaging techniques are costly and invasive. MindTrack is a non-invasive, robust and quick method for the early and accurate diagnosis of Alzheimer’s disease. Based on a neural biomarker, MindTrack supports clinicians during the diagnostic process, enabling patients to know their probability of having the disorder up to 10 years before the first symptoms arise and take action.

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