Exploring the potential of convolutional neural networks in EEG data classification and what this could mean for the future of EEG signal data research. Summary workflow diagram excerpted from the below paper on DL in EEG. This paper has reviewed 90 published papers and provides a workflow diagram of DL in EEG classification.
On Amazon: Neural Oscillations (Brainwaves) Analysis: A Step-by-Step Guide to Collecting and Analyzing EEG Data with Emotiv EPOC Neuroheadset Series & EEGLAB MATLAB: https://www.amazon.com/Neural-Oscilla…
Sharing a summary of below paper on DL in EEG. This paper has reviewed 90 published papers and provides a workflow diagram of DL in EEG classification. For those interested in using EEG data in deep learning techniques, this diagram seems like a great starting point to help determine what works best for your goals and objectives of your research or project.
“Task-specific deep learning recommendation diagram. The workflow begins with task type (with connected boxes indicating the task’s general deep learning architecture recommendation) and leads into deep learning architecture characteristic recommendations, which can serve as the starting point for designing deep learning architectures in future research.”
How I used some of the findings of my dissertation to compose electronic music (using Ableton Live) to help steer brainwaves towards specific frequencies found to be detected in the brain when we seeking knowledge and information.
Overview of the thesis paper. What happens with our brainwaves when we are curious about things and look for knowledge and information? What types of brainwaves do we emanate when we seek information? And do these waves change when we feel positive vs negative before seeking knowledge?
Dr. Sebastian Olbrich, chief of psychiatry university hospital of Switzerland, joined us to today to share with his amazing research and findings in using EEG data in deep learning, the pitfalls, as well as best practices for young aspired scientists interested in EEG data.
Full video on YouTube 👇
References: Deep learning applied to electroencephalogram data in mental disorders: A systematic review – Mateo de Bardeci 1, Cheng Teng Ip 2, Sebastian Olbrich 3 Affiliations expand PMID: 33991592 DOI: 10.1016/j.biopsycho.2021.108117