Wireless Brain Wave Classification for Alzheimer’s Patients via Efficient Neural Network Computation

DOI10.1142/S2424922X18500043zbMath1402.62289OpenAlexW2809271903MaRDI QIDQ4686465

Grant Sheen

Publication date: 10 October 2018

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x18500043

zbMATH Keywords

alternating minimization trainingAlzheimer's patientdimension reduced neural networkefficient classificationwireless brainwave data

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Automatic speech recognition. A deep learning approach
• Splitting Methods in Communication, Imaging, Science, and Engineering

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