 Web site, HTTP URL, EEG database, EEG database is an open access repository that specifically focuses on EEG data. It contains EEG recordings from various studies and experiments. Web site, HTTP URL, EEG database in UCI machine learning repository. The UCI machine learning repository includes an EEG ISTADE dataset that can be used for machine learning and data analysis. Web site, HTTP URL. BIDS, Brain Imaging Data Structure, Datasets, the Brain Imaging Data Structure is an emerging standard for organising and sharing neuroimaging data, including EEG data. You can find EEG datasets in BIDS format on various platforms and repositories. Web site, HTTP URL. MNE Python data, the MNE Python project offers access to various EEG and MEG, magnetoencephrography datasets that can be used for neuroscientific research. Web site, data, emails include EEG datasets. Web site, HTTP URL. NITRC, Neuromaging Infrastools and Resources Theory. ERC hosts various neuroimaging datasets, including EEG and ECG data, for search purposes. Web site, HTTP URL. Remember to review the data usage policies and... Okay, let's begin. Index out of range. Okay, we have the camera now. We have two cameras connected. So I can get the detector going. Ideally, we'll have both of them checked. So this should be video capture one. Okay, it's actually working. Oops, you can't close it with this button. Okay, no, you have to rescue camera. It should be roughly the same. Hopefully everything else is still working. Not sure about it. Can I lose the sound? So yes, we do have both of them running. We actually have it different. The version of it that is running on top of my face. Do let me know which one you prefer. And no, this one is not actually transparent. This should be video capture two. No, sorry, one. My headphones stopped charging. That's not good. Let's quickly change that first copy path. And the select window. Yeah, I like this one. But let's see. Yeah, we use this one. So I'm just fixing my OBS stuff. Just checking how it's working. Okay, so you have led, hello. So that's working fine. Okay, let's move on. Why don't you try teaching some of this stuff? You do, well, I don't know. Because main reason, because people don't want to be educated, I reckon. So instead of teaching, we would just be doing something. Why my headphones are not charging? It's a new Jabra thing. Anyway, yeah. And second, because I don't know what is it I'm doing. If I knew, I probably would be able to teach it. I'll just leave it at that. So we always, yeah, if any of you know any good data sets, open source, biomedical data, repos that include the EG or ECG data. And yes, both GPT 3.5 and web browsing, GPT 4, has some good suggestions. Yeah, fizzionette is not bad. The interesting GPT 3.5 now actually gives legit links. So they're not made up, which is very nice as opposed to previously where it might just give fake stuff. But we need to finish this web application that we were doing. So I'm doing many different things at once. We probably should stop that. So we have those prompts that we used in the last couple days. And long story short, they yielded a pretty decent last application that looks like this. Hopefully it works. That looks like that. And yeah, I made some more improvements earlier today. When you have a large screen, it now will display the two charts. The role is just signaling the frequency spectrum side by side. When you have a narrow window like on the phone, it will display the top to bottom view. That's a phone simulation. I don't know what happened there, but it should look like that. Not all of it fits the screen, which is a bit annoying. But I'm mainly testing on desktop. So if you have any ideas how to improve this for a mobile phone, please do let me know. And obviously, there's many more things that we can be doing. Levels, am I getting an error? No. This caption has taken a lot of space, because there would be a lot of dead space underneath it. That's not cool. We do not have play functionality. So we can remove it from the HTML description. We can do it ourselves. We don't need GPT to help. And then let's just search for play speed. Yeah, both play speed. Yeah, this one here can go. Channel selector, yes, we have channel selector. Filter, water, all spectrum toggle, frequency scale. That's all the cheat. Yeah, that's where you can get the data from. IEG.org. And by the way, why is when I'm asking for bio data repos, IEG.org is not being mentioned. IEG.org, question mark. That's the site. IEG.org is a website associated with the International Epilepsy Electrophysiology Portal, IEG portal. The IEG portal is a platform that provides access to intracranial EEG, IEG data for epilepsy research. Researchers can use this platform to access and analyze EEG data from patients with epilepsy. It serves as a valuable resource for understanding the brain's electrical activity in individuals with epilepsy and for advancing research in the field of epilepsy treatment and diagnosis. The link is the cheat. Yeah. And yeah, I think anyone can log in and look at some data. They have an online viewer as well. That's pretty good. Let's get back to this. All right. One thing, when we're putting a test prompt into GPT, I want to make, we want to put this at the bottom, confirm reading the code and do not generate anything else. Yet, we'll do the last CSS after HTML. So we'll place it there and start popping things into GPD. Hopefully it can make some more improvements for us. And then we'll have to deploy the thing where we can do it in under 40 minutes. Just this line, comment it and say, I've reviewed the HTML code you provided. It appears to be a web page for visualizing EEG, electroencephalogram data, offering various controls to interactively address the visualization, as well as information about the features and technical aspects of the application. Yeah, that's right. And we have the cheat. I will script again, confirm reading to not generate any code. And last is the last application. So hopefully, after this, it will appear on the Bargale's website, fingers crossed, have to pray to the GPT codes. Yeah, let's read this quickly. I've read through the provided JavaScript code. This script seems to handle the initialization and the vendor listeners for various elements on a page related to visualizing EEG data. When the page content is loaded, the script initializes certain variables and references to DOM elements, checks if the site is in production or development to determine the endpoint URL for fetching data, defines a function fetch data and render that constructs a URL with certain parameters, fetches data from an endpoint, and uses plot.ly to render plots, sets up of endlessness on various control elements to trigger the fetch data and render function whenever their value changes. Yeah, we also loaded the flat application Python code. I've read through the provided Flask application code. This script sets up a Flask web application that initializes parts and constants related to the EEG data file, loads a specific segment of the EEG data from a file into a pandas data frame, provides utility functions for but with bandpass filtering, serves an index, HTML template when the RUG URL is accessed, provides an API endpoint, get underscore data which extracts parameters from the incoming gate request, processes the EEG data based on the provided parameters, performs weighted denoising and transforms, if required, calculates the frequency spectrum for various EEG frequency bands, computes SNR, signal to noise ratio, and MSE, mean squared error, between the original and process signals, returns the process data as JSON to the client. Do you have any specific questions or tasks you'd like assistance with regarding this code? I will, in a second, I like it to be pushed to the right, because we want the scroll label to be on its left all the time. OK, that's working OK so far. Headphones not charging, it's pretty annoying. And here's a reminder, this file is a seizure net. So if you place it, the window size is around 50, and scroll through the seizure, you can have a more detailed scroll. The problem with that is that the window is adjusting, the amplitude is automatically adjusting. So it's hard to tell where the seizure is. Right, T-trend meant to be right default. Sure, we had a prompt for that, which is pretty simple. Just saying trend on by default should be a quick fix. Why is it giving me many different options? To have the trend option enabled by default, you should modify the default value in that. Get underscore data root where the trend parameter is fetched. Currently, the default value for the trend is set to false if it's not provided in request. By making this modification, if the trend parameter is not provided in request, it will default to true when the data will be detrended. Why is that not working? Because it is provided. Yeah, we just changed it in the HTML instead. If you want the front end to also have the trend checkbox checked by default, you need to adjust the relevant HTML embed element, not provided in the code snippets you've shown so far. Now the checked attribute by default. I'm pretty sure I have it. I did the trend, I did provide it to you. Right, but then I can name the checked bit. Can I just do this? Right. Now it's on by default, which is much better. About all spectrum option, it should be turned into a check box. Is it currently in the toggle switch? Yeah, this should be a simple fix as well. Surely, ChagipT4 can handle it. To convert the whole spectrum option into a toggle switch, you need to make changes in both the front end, HTML, and JavaScript, and back end, Flaskroot, parts of your code. Here's how you can do it. It's almost as if you didn't read the files that I uploaded. And I already loaded, and not uploaded, provided separate CSS, and did you read it? OK, let's read this. I apologize for the oversight. You're right. I missed the details about the CSS you provided earlier. Given that, let's integrate the whole spectrum toggle switch using your existing CSS. OK, all mixed up a bit, aren't you? With the whole spectrum. It's calling in the whole spectrum yet. All spectrum, pop it in here. OK, I don't see it. Because we need to change spectrum toggle checkbox. Is this? I don't want it as it's, eh, it's meant to be Windows switch D trend, class switch type checkbox. It should have a slider. Why doesn't it have a slider, similar to this one? For the same pattern, whole spectrum, yes, span, whole spectrum, right, this is more like it. It's called the same thing, is it? Spectrum ID, spectrum we can comment that out. Those are the same things. Right, it's actually working. That's great. OK, now this thing to get this right, to break the ports into three parts, general should include the channel number, window size, crawl, general, window size, and then we have wavelet related stuff, and discrete weather transform levels, is this? Discrete weather transform, seems like they're already window size scroll levels. This wavelet thing doesn't seem to have a title or label. Right, so it has labels, and within the drop down menu, doesn't have, right, wavelet type. Is this thing, the play set, oops, wrong button, a wavelet type, you can get rid of that. Yeah, I need to change those wavelet noise instead of span. Should have, get rid of that. I have now one of those on the trend. Like this, that's better. And whole spectrum, instead of the span, so for IT, whole spectrum total, whole spectrum, right back to inputs, separated into three parts, general channel number. A window size is one, and we have this crawl, then wavelet related stuff is wavelet noise, discrete weather transform, wavelet type, levels, and spectrum related. A general trend should be built up, order is only related to this spectrum. And obviously, a whole spectrum is related to spectrum, and frequency scale is related to spectrum, that's right. This is what it says. Given the categorization of your inputs into three sections, you can organize them in the front end by using HTML, less than div, greater than tags, or field sets, for a more semantic approach. I'll provide an example using less than field set, greater than as it's better suited for grouping form elements. Okay, but we did change the HTML, and let's do it again. Why do you generate? You do not generate anything else. But I've read through the provided code. This appears to be an HTML template for visualizing EEG, electroencephalography, data, complete with a navigation bar, settings and controls for data manipulation, and content sections that explain the application's features and purpose. I noticed that you've already implemented the whole spectrum, double switch you mentioned earlier, as it seems you want to organize the controls into three distinct sections, general, filter, and spectrum. Grouping these settings can make the user interface more intuitive and user-friendly. In your CSS, assuming styles.css, you can style these control sections to distinguish them visually. For instance, by organizing the controls this way, users can better understand which settings are relevant to a particular category, leading to an enhanced user experience. Yeah, how hard would that be? Do I want any extra? Eh, no, probably not. Yeah, would like to scroll at the bottom there, right, you have wave-led weather-type demos, then you have the rest kind of thing. Channel number, window size, no, I could be doing this forever. Okay, the trend can be moved there after levels, right. Now, this is up top. Let's say we all have the spectrum stuff, which is filter, order, whole spectrum, and frequency scale. And scroll might be going separately. Eh, no, channel number, window size, and scroll can go together. So after the trend, let's have a whole spectrum. That's after the trend. It's another a div end of division. Oh, please don't do that, because I don't trust you. GitHub, co-pilot, whole spectrum, comment, make it a frequency scale. Yeah, we have whole spectrum frequency scale. And then filter, order, yeah, this one here. Right, that makes a more sense, close that division. Then we have a number one, which is all the general stuff, which have the channel number, window size, and scroll. A channel selector, window size, and scroll. Well, right, that's already the case. This should be good enough. See if we have just delete those copies. Right, then we have the Flask application app settings, changed the name everywhere. This is over here, everything else should be fine. Let's pop it into the chat so it knows what is it we are doing or trying to do. All right, one last thing. I'll read this and take a quick break. It seems like you have a WSGI entry point for your Flask app, i.e. EG underscore spectrum underscore 16 underscore chan underscore denoise, that we served using a WSGI server, e.g. mod underscore WSGI olipatchy, G unicorn, or UWSGI. Here are some suggestions and points of verification based on provided by app, WSGI. Sys, path, insert, you're inserting the application path at the beginning of the sys, path. This is important when the WSGI server is not aware of your app's directory. It ensures that your Flask app's directory is in Python's path so that the app can be imported properly. Commented configuration, there are several configurations that you've commented out. Each has its importance. Script underscore name, useful if you want to serve your app under a subpath of your domain, subury. Application underscore root, similar to script underscore name, it tells Flask that it's being hosted at a subpath. Server underscore name, used for URL generation. This can be important if you're using URL underscore for within Flask. Preferred underscore URL underscore scheme, when generating URLs, Flask will use HTTPS if set. This is important for security, especially if your application deals with sensitive data. Session underscore cookie underscore, these are configurations for secure cookie settings. If your application is served over HTTPS, which it should be in production, these settings help enhance the security of your user sessions. Securing cookies, since you're considering using HTTPS, as per the preferred underscore URL underscore scheme, it's a good practice to ensure that cookies are secure. Session underscore cookie underscore secure, ensures that the session cookie is only sent over HTTPS. Session underscore cookie underscore HTTPS, health mitigate the risk of client-side script accessing a protected cookie. Session underscore cookie underscore S-A-M-E-S-I-T-E, adds the same site attribute to the session cookie, which can help prevent cross-site request for tree attacks. Remember underscore cookie underscore secure, if you're using Flask login, this ensures that remember me cookie is secure. Suggestions Logging, consider setting up logging in the WSGI file so you can debug issues when deploying your application. This can be extremely helpful when diagnosing problems in a production environment. Virtual environment, if you're using a virtual environment, then you should be ensure that the WSGI server is using the correct Python interpreter from the virtual environment. Deployment, ensure that the WSGI server, like mod underscore WSGI, gunicorn, etc., points to this WSGI file. Configure your web server, e.g. Apache, nginx, the proxy requests for WSGI server. Uncomment and test, if you intend to use the commented configurations, uncomment them, and test your application to ensure that it behaves as expected, especially in a production environment. Remember, deployment can sometimes bring up issues that were not present in a development environment, so always test thoroughly in a staging or production environment before making your app live. Yeah, we have those instructions for deployment. If you're deploying your Flask application with Apache, you will likely be using mod underscore WSGI. Here's a step-by-step guide to help you with the deployment. Right, we need a step-by-step. We did it several times already. Let's open this office. They're going to do this on another screen. Obvious reasons, safety reasons. Right, so we have thing. This is the configuration file for the site. I can actually show it. I'm going to show you. You're able to hack into my website. Just let me know how you did it. Yeah, but otherwise, it's all open source anyhow. Let's see. So, we have this many eight eight Flask applications. Yeah, I'll save this one and other ones. Now, we have to really get this one correctly. So, I assume from memory, we have to copy that. Instead of this, we have a different name. Where is our name? Let's see. Configuration configuration. So, the second one here. All this to change. Yeah, the WSGI file is called my app. Okay, I'm dedicating two threads to it on my server, that's just default value. I'll just see how it goes and might change it later. If absolutely necessary. We also have a static. You need to be able to find it. And another reference to the static folder. We can save that. And now we have to run Apache config test. Let's see. It's working okay. The password again. Syntax is okay. Now, one thing that we always stumble with is checking if the code is executing in production or not. So, it's working locally, okay. Yeah, this bit change. Oops, just happened. Wait a second. Yeah, because the two applications, the code, they have similar names. One is IG spectrum 16 channel one. And the other one is IG spectrum 16 channel D noise. So, that's the one. So, this little things are difficult. This is better. And let's check that we don't have reference to the regular one anywhere else. The noise, the noise, the noise, the noise. But nothing. Let's check. This one should actually take this endpoint base. So, this is a checking if production or not. Yeah, this should be okay. So, the real question. Ah, last thing. The star CSS. Confirm reading code and don't generate any code. I read the code. Yes, something specific. Yes, we would like CSS file using these colors just to use a project, the color palette. Hopefully, GPT can just do it for us. And we'll need to make sure it's not stuffing anything up. Yes, this stuff meant to be commented out. It's commented out for a reason. The reason being that we have to separate a HTML for CSS files. One is for this specific application and one for the whole project. There is a reason why this was commented. And this remains the same input file scroll. Yeah, we keep the width there. 80% is styling for the plots containers. It remains the same. Stiling the switch, switch 60, 34. That's okay. Switch input. Yes, those are all specific stuff. And this color background color and actually do it. We normally have that as a background that blue have the red. So this is Meridors 4. Yeah, it didn't actually do it. Oops, sorry. No, this one wasn't changed. Why? And not clear. Should be a Meridor 4. Yeah, that's the one. We have a blue. It's Meridor 1. Yeah, that one is same here. Oops, that's not cool. That blue one, it's on. That should be fine. A output box. Do we have black? Yes, we do. It's Meridor 5. Yeah, don't see the font size. Which font size is it? Don't want to order. Which one is this? Yeah, don't like also how the way that the noise is being set is false somewhere. Let's see this change. Let's do it 3. Yeah, I don't see it anywhere. Anyway, let's finish this up quickly styled. Yeah, this is the styled output. Yeah, we don't have the output box, do we? Let's check the HTML. No, we don't have it. We should get rid of it. We should have styled outputs from memory. Yeah, that's the one. Background color. It can be Meridor 3. Yeah, we don't need a border. Right, this is better. I don't like borders. Because with borders comes border control. Again, we have a standard page design as well. Okay, fingers crossed. Should take a breakfast. We're ready to deploy. Restart Apache. This might take a while. Yeah, the website is down. It should be only for a second. It's back up. This is the previous control 5. Okay, one thing we need to do. It's actually working. Sometimes, because there's a CDN, a Cloudflare, you have to actually modify the radiates on it. So for that, you have to recover some of the electricity costs. Drop it in the shit. We can play around with this straight away. So this is testing in production in a 16 channel, different type of wavelets. These two don't work. Actually get an error. For them, you should be able to see in production this jumpy bit when you reload the page. That's when you get to the edge, but that's okay. That's different, different wavelet types. Yeah, this one. Hey, giving an error. Should we fix it now later? What do you say? It's actually should have a separate control. Just double check. See what it looks like. Check it doesn't work. Yeah, I can't possibly fit both the charts. So what I suggest you do is change the settings and then look at the output. I don't know how to fix it. Yeah, it could be made smaller, I guess. If you have any ideas, please do let me know of how to make it better on a mobile phone. Yeah, the ad is not great. They're now delayed so they will only display after 10 seconds or so after the page is loading. No, it's still annoying, but it's a free tool. And next time, we'll be touching on those R1EG spectrogram because currently this is a frequency. So frequency spectrum, not the spectrum. Spectrum will be different, we'll touch on it. We'll do this probably next week. So please check it out, see. Yeah, that's annoying. The thing really don't like this. I should be able to fix it quickly. Let's trace a wavelet noise. Quickly label class input span. ID is wavelet noise. So that's what we should be searching for. Okay, close this file by the way. Change by this bit. This is set to true and somewhere this set to false. We still have it running in production this way. It will be easier to test, obviously. We don't have to deploy it every time, but it's fine in on the local server. It's behaving slightly different because it's loading quicker. So you don't always see that the default is actually that somewhere it's set to false and then it's turning itself off. Like you can see it now, but in production, yeah, you can kind of see it every time. That's annoying. And yes, if you know of any good data sets, it will have to be open source, be identified, so no personal information. I already know about open neural fissionet IEG. I used them before. This one is a weird one, but it doesn't. Actually, yeah, not the greatest site EGI state, but yeah, to make, actually have it somewhere like a list of all those and it should be ranked by based on, you know, if logging is required, or if the data is truly open source, or is it like some sort of hidden terms and conditions applied. We had the blog, we had a couple bunch of blogs coming up on the site as well. We have this one on the impedance in EGI probably can be long up. But there's this one now. And yeah, generally, there should be some sort of color coding for this thing. Or let's say blogs will appear, this green background, EGI will appear this red EGI in blue and say everything else in black. Yeah, so we'll have to change some of those thumbnails. We use them in the YouTube videos as well. So I had a couple of people asking about the YouTube analytics thing. This is not content that I would like to do in general, but I have to quickly show you what's what. So it's normally default training in the last 28 days. So I had like 3,000 views. It's actually tells me it's 2,000 more than usual. Watch out watch time just like the most important beat number of subscribers. Yeah, going up. Well, it's jumping up and down. Here you can see live count ads of the subscribers. And here you can see the live last 48 hours. So the general stats are updated only every 48 hours. But you can see live stuff as well. For example, this video is trending. I don't know why it's doing way better than typical typically. It's that gray area there. This one is shooting up but normally I don't know if it's the algorithm pushing it or is it organic? So 4.2 watch hours to subscribers out of that video. And hopefully, but yeah, it seems to be a saturated plateauing. So the algorithm kind of forgets about it. I used to post a lot on LinkedIn and stuff. But yes, say for this video, externally, it was only found by 1.7%. So now kind of doing more selective posting on LinkedIn because this essentially suggests that this specific video was mainly found through the YouTube page. So it's YouTube, I'm recommending it or doing something good. Yeah, every percentage view is not great at all. It's actually pretty bad. It's shockingly bad. Yeah, so probably YouTube will stop recommending it because of this, must be this very low percentage view. So I don't know if people are clicking on it, not expecting it's a longer video or the label is not correct. Yeah, normally after a while, it's generating subtitles. So it's transcribing text to speech. So if I pop this, pop it into a GPT, this video, it was called captions. It's summarized. It's just titles. So I really remember what is it about. It changes. It's summary. The main issue being addressed is a problem with a web application related to IoT spectrum visualization. The application isn't displaying anything, even though there are no errors being reported. There seems to be an issue with NAN, not a number, values being produced during the filtering process of the data. One primary issue identified is an unstable filter due to a large filter order. Reducing the filter order to a lower value such as 4 resolved this issue. Another problem encountered is that raw signal chart isn't displaying as expected. The user suspects it might be related to the structure of the data storage. The assistant provided some solutions and suggestions using GPT-4, but there were some challenges with context and the overall structure of the data. The user is contemplating starting a new chat to provide a clearer context. I actually remember doing this, so GPT-4 is pretty accurate. If it's complete though, a summary can be up to five. I have this summary in BX and it do. What was it, five thousand characters? Yeah, that's meant to be GD, Trollsharing AG. Yeah, this is probably a better title. Yeah, it was probably two ambitious with the title. In the pursuit of perfecting a web application for IG spectrum visualization, several hurdles emerged that required immediate attention. From the outset, the application refused to display anything. The perplexing part was that despite the absence of visualization, errors were being reported. This made troubleshooting a bit elusive. The core of the issue seemed to revolve around NAN, not a number, values. Upon diving deeper, it was revealed that these NAN values were being produced during the data filtering process. This raised questions about the filtering method being utilized, and why be causing these aberrant values. One critical discovery was the instability of the filter, which was attributed to an excessively large filter order. While filters are essential in refining and processing data, their stability is paramount to ensure accurate results. The instability not only skewed the data but also presented challenges in achieving a clear visualization on the web application. A practical solution was proposed by simply reducing a filter order to a more reasonable number. In this case, 4, the filter stability was restored. However, even after stabilizing the filter, another challenge cropped up. The raw signal chart, a fundamental component of the application, was not displaying as intended. Given the intricacies of data structures and their data,