Deploying a Web-based Electroencephalography Data Analysis Virtual Laboratory

作     者：Joshy Alphonse Shyam Diwakar 

作者机构：Amrita School of Biotechnology Amrita Vishwa Vidyapeetham Amritapuri campus Clappana PO Kollam Kerala 690 525 India 

出 版 物：《Procedia Computer Science》 

年 卷 期：2020年第171卷

页      面：2420-2425页

主　　题：EEG Web JavaScript Tensorflow React JS Deepl Learning 

摘      要：A majority of the analysis platforms for electroencephalography (EEG) data are implemented on platforms that not easily available for learners or for resource-limited environments. In this paper, we implemented an online laboratory for EEG analysis using JavaScript, while making the user interface easy and viable for non-programmers and experimentalists and as a learning platform. This virtual laboratory platform implements common EEG analysis techniques like power spectral density extraction, channel extraction, filtering and learning primitives allowing users to upload and analyse EEG data.