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A Method of Diagnosing Autism Spectrum Disorder (ASD) using EEG Signal Data
About
The method relies on a novel way of analysing conventional EEG signals. It yields an EEG parameter that is indicative of Autism Spectrum Disorder (ASD). The inventors’ studies on young children have shown that the method can be used to differentiate between ASD children and non-ASD children. The patented invention described a process for analysing EEG signals where by comparing a computed parameter with the value of a control parameter, it is possible to determine whether or not a subject has ASD. The EEG parameters utilised (wavelet total power, wavelet coherence and, in particular, wavelet phase coherence) may be derived for one or more spectral bands. Patent Pending - Publication Number WO2018104751A1
Key Benefits
- The method is easily implemented in software and will run automatically. - It provides a quantitative measure of ASD likelihood, complementing the current paediatrician’s judgement based on behavioural attributes. -It can be added to existing EEG software packages as an enhancement. - It provides earlier diagnosis will prevent prolonged uncertainty and allow early interventions to improve quality of life for the patient and family.
Applications
Aiding diagnosis of ASD, potentially in younger children than can reliably be diagnosed at present.