BioniChaos - Biomedical Data Tools and Resources

Brain and EEG

EEG Music Transform EEG data into music and explore auditory patterns generated from brain waves.
RhythmScan Explore EEG data, visualize spectrograms, and understand seizure detection using machine learning.
Advancing Neurotechnology: The Impact and Ethics of AI-Enhanced Brain-Computer Interfaces Explore the impact and ethical concerns of AI-enhanced brain-computer interfaces, focusing on advancements in neurotechnology.
iEEG Review 16 Chan Review 16 channels (8 from each hemisphere) of intracranial EEG sampled at 400 Hz with epileptic seizures recorded using the NeuroVista implant.
Spectrogram Dynamic visualization of EEG frequency spectrum over time, highlighting patterns across brain states.
Ethical Concerns of Neural Implants Delve into the ethical implications of neural implants, covering privacy, consent, equity, and identity issues.
iEEG Spectrum Visualization Explore comprehensive spectral analysis of 16-channel intracranial EEG data, providing insights into neural activities.
100 Years of EEG: Celebrating a Century of EEG and Its Future Potential This year marks the 100th anniversary of a groundbreaking moment in neuroscience: the first human EEG recording. A century ago, this initial step in capturing the brain's electrical activity from the surface of the scalp gave birth to electroencephalography (EEG). This was more than a technical achievement; it was a revelation that opened a non-invasive window into the living human brain, allowing us to witness the subtle dance of neurons in real time. This discovery fundamentally changed our understanding of the brain and behavior, leading to new fields of study and numerous medical breakthroughs. As we celebrate this centenary, it is also a time to reflect on the journey so far and to call for collective action to realize the full potential of EEG in science and society over the next 100 years.
iEEG Spectrum Visualization with Wavelet Denoising Visualize intracranial EEG data in the time and frequency domains with wavelet denoising. Explore the raw signal and frequency spectrum of 16 channels.
The Nuances of 'Impedance' in EEG A deep dive into the concept of 'impedance' in EEG recordings, exploring its nuances and implications for signal quality.
Synthetic EEG Signal Generator Generate artificial EEG signals for testing and evaluating various algorithms, devices, or theories related to EEG.
EEG Monitoring in ICU Explore advanced EEG monitoring techniques in the ICU, providing real-time insights for critical care teams.
The Diagnostic Limits and Potentials of EEG: A Critical Review A critical review exploring the appropriate and inappropriate uses of EEG alone and potential enhancements with other modalities.
EEG Cross-Coherence Function Analyze EEG data with cross-coherence function to assess signal quality and connectivity.
EEG Data Visualization Interactively explore and visualize EEG data, gaining insights into brain activity.
Analyzing EEG Data: Lessons on Proper Data Handling and Labeling Insights and lessons learned on handling and labeling EEG data correctly.
EEG Electrode Positions (10-20 vs. 10-10 System) Explore the differences between the 10-20 and 10-10 electrode positioning systems in EEG recordings.
Neuro-GPT Discover the integration of advanced neural network architectures like GPT with EEG data analysis.
Seizure Detection and Prediction Explore approaches for seizure detection and prediction in epilepsy management.
Advancing Epilepsy Management with Ultra-Long-Term Epilepsy Monitors Learn about the potential of ultra-long-term EEG monitoring for personalized epilepsy management.
EEG Datasets and Resources Explore a curated collection of EEG datasets, publications, software tools, and more.
EEG Fuzzy Logic Analysis Learn how fuzzy logic enhances EEG data interpretation and provides structured signal quality assessment.
EEG Band Power Visualization A simple bar chart visualization of EEG band powers using D3.js and JSON data.
Unlocking Insights from the Brain: Extracting Features from EEG Data Explore various features that can be extracted from EEG data, including time, frequency, and non-linear features.

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