RASMi

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UTP Ignite

Project Leader: Prof. Dr. Tang Tong Boon

Team Members:

Dr Rumaisa Abu Hasan
Dr Syed Saad Azhar Ali

Department: Electrical & Electronic Engineering

Expertise: Neurotechnology, fNIRS, EEG, health analytics

Resilience Assessment System for Mind (RASMi) using EEG Neuromarker

TECHNOLOGY READINESS LEVEL: 5

BRIEF TECHNOLOGY

RASMi is a data-driven solution that uses the brain signals recorded using the electroencephalography (EEG) to assess resilience levels. The EEG boasts the benefit of being cost efficient, user-friendly and applicable in various healthcare and work settings.

PROBLEM STATEMENT & CURRENT ISSUES

Answering questionnaires can be a tedious and bias procedure due to multiple forms and the concern of social stigma to mental illness.
Questionnaires are unable to measure the adaptation process of resilience in real time.

USEFULNESS & APPLICATION

IMPACT OF THE PRODUCT

Single modality EEG, data driven for resting and task condition
Cost saving - maximum 2.5% of fMRI setup, ranging USD 500-50,000
Portability, cost effective, clinical and non clinical users as target market
Reusable and EEG typical lifetime of 10 years

MARKET POTENTIAL

INDUSTRY COLLABORATION

National Child Development Research Centre (NCDRC)
School of Medical Sciences, Universiti Sains Malaysia
NEU Dimension

INTELECTUAL PROPERTY (IP)

Patent : PI2024003425

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