Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
Are your AUC calculations missing the mark? ๐ง
In my latest video, I dive into the challenges of debugging Area Under the Curve (AUC) and ROC curve calculations. From handling negative areas to refining interpolation methods like linear, spline, and polynomial, itโs all about ensuring accuracy and reliability in your data visualization.
Curious about how to tackle these issues in real time? Watch the full video here: https://youtu.be/W4KOMHulXY4
Ready to try it yourself? Check out the tool on my website: bionichaos.com/CardioROC
Let me know your thoughts, and donโt forget to comment with your ideas for improvement! ๐
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๐ How do we use AI to detect seizures with 96.67% accuracy?
In my latest video, I walk you through the process of training a convolutional neural network using EEG spectrograms. From building the dataset to analyzing results across 10 runs, we explore the challenges and breakthroughs of applying machine learning to healthcare.
๐ Curious about how spectrograms reveal seizure patterns? Or why accuracy dropped in later runs? Watch the video to find out: https://youtu.be/PGkGr0KH26A
๐ Dive deeper and try it yourself! Explore the RhythmScan tool here: bionichaos.com/RhythmScan
Let me know your thoughtsโhow do you think AI can better support seizure detection and beyond? ๐ก
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Ready to Master ROC Curves and Test Your ECG Analysis Skills?
Check out my latest video, where I explore CardioROC, an interactive game designed to help you identify abnormal ECG waveforms while visualizing your performance on a dynamic receiver operating characteristic (ROC) curve. Learn how ROC curves work, why theyโre essential in medical data analysis, and how this tool makes learning fun and engaging!
๐ฅ Watch the video here: https://youtu.be/3pwcWjwl1MM
๐ฅ๏ธ Try the game yourself: bionichaos.com/CardioROC
Let me know how you find the game, and share your feedback in the comments!
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๐ Faster, Smarter 3D Medical Imaging! ๐
Discover how weโre revolutionizing volumetric rendering with Brain3D on bionichaos.com/Brain3D! In this video, I tackle slow loading times and complex code by integrating tools like NIfTI Loader.js for seamless 3D visualization.
๐ฅ Watch it here: https://youtu.be/kyJZs-TDE6A
Explore how cutting-edge solutions can optimize medical imaging workflows, making them faster, simpler, and more efficient. Join me on this journey to improve open-source tools for 3D medical visualization.
๐ก Have ideas or insights? Let me know in the comments!
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Can AI Help Detect Seizures with EEG Data?
Check out my latest video, where I dive into training a convolutional neural network (CNN) to analyze EEG spectrograms for seizure detection. From achieving 81% accuracy in the first run to tackling challenges like single-channel selection and dataset limitations, this project showcases the exciting potential of AI in healthcare.
๐ฅ Watch the full video here: https://youtu.be/dypFR1bNbHI
๐ง Explore the RhythmScan tool: bionichaos.com/RhythmScan/
Join the conversation! What improvements or features would you like to see in tools like this? Let me know in the comments!
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๐จ New Video Alert! ๐จ
Are you ready to dive into the world of EEG data visualization and debugging? In my latest video, I walk you through the process of building a dynamic EEG data viewer using Flask and JavaScript. From handling real-time spectrogram updates to tackling metadata mismatches, this video is packed with practical insights for developers and anyone passionate about biomedical data.
๐ฅ Watch it here: https://youtu.be/b7e-tDl-D8A
Explore even more tools for EEG, ECG, and biomedical data analysis at BioniChaos: bionichaos.com/
Don't miss outโcheck it out now and let me know what you think! ๐
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๐๏ธ Experience the World Through VisionSim โ Build Empathy, Create Accessibility
Have you ever wondered what itโs like to live with visual impairments like myopia, cataracts, or glaucoma? ๐ VisionSim is here to show you!
This powerful tool on BioniChaos lets you adjust blur, contrast, and color saturation in real time, giving you a firsthand look at how people with visual impairments perceive the world. Whether youโre a designer, developer, or educator, VisionSim is a must-try for building empathy and ensuring your work is accessible to everyone.
Watch the full video to see how VisionSim can transform your understanding of accessibility and inspire action: https://youtu.be/cjgAlNPkgMQ
Ready to experience it yourself? Visit bionichaos.com/VisionSim today!
Letโs make the world a more inclusive placeโone step at a time. ๐ก
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๐จ Ready to Test Your ECG Analysis Skills? ๐จ
Dive into the world of cardiac science with CardioROC, an interactive game designed to make learning ECG interpretation fun and engaging! ๐ฎ Whether you're a student, researcher, or just curious, this tool will challenge you to identify abnormal waveforms while providing real-time feedback using dynamic ROC curves.
๐ก Learn by doing, improve your skills, and explore the exciting intersection of gamification and biomedical education.
๐ Watch the full video here: https://youtu.be/HgnyarSCM0k
๐ฎ Try CardioROC for yourself: bionichaos.com/CardioROC/
What are you waiting for? Letโs make cardiac science interactive and fun! ๐ซโจ
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Have you ever wanted to learn about Receiver Operating Characteristic (ROC) curves in a fun and interactive way? ๐
In my latest video, I explore CardioROC, a gamified tool that teaches the principles of ROC curves while challenging your data classification skills. Watch as I dive into the code, debug issues, and improve the tool's accuracy and visuals. From troubleshooting interpolation techniques to enhancing the scoring logic, this journey is packed with insights for anyone passionate about data visualization or machine learning.
๐ฅ Watch the video here: https://youtu.be/_BwQuL9W1ls
๐ฎ Try CardioROC yourself: bionichaos.com/CardioROC/
What do you think about gamifying complex data concepts? Share your thoughts and let me know how I can make CardioROC even better!
#CardioROC #MachineLearning #DataVisualization #Gamification
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๐ What Do EEG Seizure Detection Metrics Tell Us?
Ever wondered why two machine learning runs with the same settings can produce different results? In this video, I compare two runs from our EEG seizure detection tool. Run 9 achieved a test accuracy of 96.67%, while Run 10 reached only 90.0%. What caused the difference? And what does it mean for improving models in critical applications like seizure detection?
Discover how factors like false negatives, loss values, and model randomness play a role in the performance of deep learning tools for biomedical data. This breakdown highlights the nuances of machine learning and offers practical insights for better results.
๐ Watch the video now: https://youtu.be/uRDzaI-mUCQ
๐ Explore the tool here: bionichaos.com/RhythmScan/
๐ก Letโs discuss: What strategies do you use to optimize deep learning models for critical applications? Share your insights and questions in the comments!
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I focus on advanced biomedical research and EEG data analysis. My content includes live development sessions, where I delve into neural signal processing and brainwave visualization. This channel is dedicated to the development and implementation of interactive tools for biomedical data processing. Through my videos, I provide insights into the practical aspects of biomedical research, emphasizing technical processes and methodologies. Topics include statistics, fuzzy logic, neural networks, spectrogram analysis, image classification, and graphic processing. These tools are available on bionichaos.com and designed to assist in determining signal characteristics, predicting events, and identifying irregularities within signals, thus enhancing the understanding of biomedical data.