 Let's see to work so finished This web application yesterday cj-synthetic single generator go check it out. It's on the website this page share it in the in the notes in the comments And that's working fine There's no refresh button, but you can just refresh the page and The other thing we would like to do is to Yeah, so that's our Enternity the G What we would like to do is have a C Feature extra extraction is from it. So essentially something that labels the Pqrs Pqr as The waves just puts them in the sub labels them in separate colors. That would be nice Let's see how well It will work. He had something previously working. We have the in description for it and And Video as well Just to Look like that Yes, it will label a 30 second signal. Oh Yeah, we'll label is a G as such Was working nicely unfortunate. Unfortunately due to technical issues To reboot a whole restart a whole server so we don't have that back end therefore this Doesn't work anymore But it's okay because We have GPD to make a similar tool for us So, let's just polish This Was that these seven kind from to remember what the range Range range range minimum maximum is this No, that's okay. I think we need the range at least not Not yet You know, why would we need one? so we have those as outputs and We'll have a ECG Shut as per usual if Waves Colors use American American English of that you P with your SD wave ECG also have Measurements for heart rate mean PR interval time Is a level mean I can use So we could use your kit She actually allows simulating ECG Waveforms flask so it's available for you to play with and numpy This relevant paper We have a scroll Dominion scroll option Just get away with window size. So this will be Oops and now input Boots and Python packages that paper might be not so relevant We have this description that we wrote a while back you punch something into Just checking my mouse. I realized all my previous dreams didn't have the mouse cursor visible That's not cool I'm checking that actually see the mouse cursor all the time seem to be able to see it. Okay, please let me know if I Stuff something up like that. I would like to improve and Your feedback would be Very valuable congratulations. What else do we have? each extraction Well clean ECG signal Maybe type classification. It's not really about type classification, but Let's read our own Requirements will not really this quickly ECG feature extractor as a prototype tool designed to analyze and label different components of an electrocardiogram ECG waveform with distinct colors enhancing visual clarity and facilitating accurate interpretation By splitting the ECG wave into T wave QRS complex NP wave the extractor effectively segments and highlights each component allowing clinicians and researchers to easily identify and analyze specific features The color labeling provides a clear representation of the different ECG components aiding in the identification of abnormalities and regularities Yet the description is okay In addition to segment labeling the ECG feature extractor provides valuable quantitative measurements for several important parameters It calculates the mean values for crucial metrics including heart rate PR interval QRS time QT interval and isoelectric level These measurements offer valuable insights into cardiac activity and provide a central information for diagnosing and monitoring heart conditions By automating the extraction and analysis of ECG features This tool could streamline the interpretation process save time and help up their professionals making for decisions based on accurate and standardized measurements I am right We have the file structure Hey, can we put all that north order matters probably It is So we have the folder structure Health inputs So essentially it will be something similar to this but it will have each wave Labeled with a different color. All right, so probably done with this and we want to display this anymore Have a folder this folder close it. Let's do this again Should the tool complies with the relevant medical and ethical guidelines and regulations? Well, this is Synthetic there's a good reason Why this is synthetic ECG based on the information you provided you're looking to create a flask web application using Python that can process and analyze ECG signals That's right. The users can input ECG signals and select a window size in the ECG signal type Yep, the application will then output an analyzed ECG chart with different wave components color-coded along with other statistical metrics like heart rate Mean PR interval mean, etc Yeah, that's right. We Have their requirements file Copy-pasting is a skill isn't it requirements? Yeah, we should have a new kit number for a spender smart plot live Should have all of that already This is mainly for reference deal with the flask settings Once we have something working. Yeah, New York it What was that sample application structure? Yes So they It's the main flask code Handles the roots in the main functionality of the application It will import the required libraries load the ECG that process it and send the output to the front end That's nice. That's the script JS Handles any client-side JavaScript for the application for example to make a synchronous request to update the ECG chart dynamically Scream bigger. Yeah, we know what CSS does And the index HTML Yeah, we would not have any What's that G-Chain Let's close this for sec in CSS Let me actually copy this CSS Should we copy everything from the previous project templates app a my app the WSGI file Hey, we don't need that copy features X Attraction Data should be empty for now. It will remain empty. That's the all All the HTML file. That's this one that doesn't doesn't work anymore. It's the one we are changing we have JavaScript is CSS and The main app application so we can use a We can start off this app application in Python code essentially will be a more advanced version of this So this one and it's this tool here. So just the generating synthetic signal It's not doing any labeling We want to do labeling just once If you have any comments suggestions improvement please to Let you know just by the way my YouTube analytics if anyone is interested I can Talk more about that You have provided a flask application that receives ECG parameters from the client side generates a simulated ECG signal using the Narokid 2 library And returns the generated ECG signal as a response The parameters include BPM, window size, various types of noise and isoelectric voltage Here, I'll provide a brief review of your code and suggest any necessary improvements With me, we did just ignore What I was asking about before Why didn't upload it? I did upload it Let's do this again requirements. I should give it the JavaScript first to this With the JavaScript first Your JavaScript code is for web page that allows users to input parameters to generate a synthetic ECG signal using the flask back end When users change any input field in the form it makes a post request to the flask back end Retreats the generated ECG data and uses quality to plot the ECG data on the web page Give me some Example improvement Is that all about? Here's an example of how you can add a loading spinner to provide feedback to the user when the ECG data is being fetched Assuming you have a less than div 8 equals loader greater than less than div greater than in your html that contains a loading spinner which is hidden by default Now that's okay. I'll do it later Mainly working on the different applications So given the provided information and requirements I will focus on enhancing the app that py in script JS files to include features for analyzing and labeling different components of the ECG waveform with distinct colors and to calculate mean values for crucial metrics That's right It's modifying the Python code We will modify the class gap to process the ECG signals and extract features such as p-wave, urs complex and t-wave then send these features to the front end to be plotted It's doing everything in the same In the same function Okay, let's Loose all for a sec We need to modify the javaspr code to receive the extracted ECG features and plot them with different colors Right So using the same libraries We have Generate ECG as we had before Okay, so the code remains the same We have the actual ECG generation over here Okay, let's see So it uncommented this didn't actually mention anything about it. Okay, it's extracting here, but it's not actually Saying how It's done So Being this will actually work Turning into All this into json file Don't think this will work Okay, the javascript should have update plot there already Edit all this stuff constant data Just copy the whole constant data Report ECG plot data layout This remains the same ECG analysis ensure you have thoroughly understood the Narokid 2 library and how it processes and analyzes ECG signals The extraction of p-waves qrs complexes and t-waves should be validated with actual ECG data to ensure accuracy Getting 500 the error Going to load resources I really understood what's different than these errors here Load them open If six errors This one says some problems no longer generate console messages, but service Has an issue. Okay. So let's see having trouble with Probably the html In a template one was well popped the styling Let's pop this in I expect Some variables to have different names Or something like that The html code you provided is a template for a web page that uses a form to gather parameters for generating an ECG waveform It then passes these parameters to a back-end service which returns the ECG data to be plotted on the page using clodly The form includes various controls for manipulating the ECG waveform including sliders for bpm window size and different types of noise Your html is well structured and you made effective use of semantic html elements like less than header greater than less than nav greater than and less than form greater than The inclusion of open graph meta tags at the top of your document is a nice touch for enhancing the shareability of your page Your web page is well designed with interactive elements for generating custom ECG waveforms Enhancements in code cleanliness accessibility co and user feedback can make it more user friendly accessible and discoverable online Yeah, that's fine That's not what we are worrying about Yet Damage is too small Right, I've seen this error before What's the problem? Can you solve this one for us? Please Generating two responses on the one that I can read out loud. It's pretty much the same See much difference Suggesting logging stuff Unlike when it says final thoughts as if it's finished working Pretty sure have all the packages installed Think it is the same this syntax error Pretty sure we are printing the error Oops Sprint data rather than this too small 25 seconds seemed to The processing still get 500 for the generate ECG That's not cool Yeah, I'm pretty sure we don't actually have the ECGP wave At least not yet Not sure why it's even trying to plot it not sure if neurokit Can label individual waveforms. I don't think so the main question Doesn't even have an option to Extract p wave Pretty sure it doesn't Set it down. This is a general approach for using neurokit Extracting waves You can extract individual waves from the signals that frame which contains various processed and filtered versions of the ECG signal including the rpx Visualizing the ECG signal you can use nk.ac underscore plot to visualize the processed ECG signal Which will display the rpx and it processed appropriately other waveforms It's a nice code. It's actually work Oops And it's just testing For the confusion It seems I made a mistake in the previous example The nk.ac underscore plot function does not take assembling underscore rate argument You should be able to plot the ECG signals and rpx just by passing the signals that frame did This poses some problem with the pandas library This error is likely occurring because of changes in the pandas library where multidimensional indexing is no longer supported It usually arises when you are trying to index a pandas dafframe or series in a way that would return a multidimensional object You know the source It appears the error is emanating from the internal workings of the neurokit to library Particularly when it tries to plot the ECG signals and is not something directly related to your code This could likely be due to a version mismatch or some changes in pandas or other dependencies that neurokit to relies on Recommended approaches it involves changing the library source code which could lead to more issues online However, if you're in a hurry and need a quick fix You can trace back to the file and line number indicated in the error message And make necessary adjustments such as converting the pandas object to an mp array before indexing But this should be a last resort in den with caution Wait for a touch, okay So be sure A neurokit doesn't have an option to extract features So I have to do it in a different way If the error occurs during the planning step and your main goal is to extract ECG features You can bypass applying for now and focus on extracting the features You need from the signals and info objects returned by nk.ac underscore process Pre-show neurokit doesn't have an option to extract individual waves We might have to use a different approach Apologies for the confusion Yes, you might need to resort to a more manual approach to extract the individual waves if the library doesn't provide a straightforward way You can do this by utilizing the indices of the rpx, ppx, tpx, etc Which can be computed from Narokit 2 and then slice the ECG signal accordingly Here's a basic example of how this could be achieved Note that this approach involves estimating where the pnt waves are relative to the rpx Which might not be extremely accurate and may need further tuning or a more sophisticated approach depending on your specific needs And right, so this is more manual and your kit wouldn't have an automated way of extracting individual wave forms So I have to do it manually I mean we still want to keep this Essentially what we want What do we want? We have an ECG signal generator What do we want? We want to label different parts of the signal When do we want it? We'll be dealing in 10 minutes That's how long we have in this stream Okay, so it's ignored Everything I said in the beginning is actually not a flash application. It's just a still testing mode See if this works It's surprising it does Okay, how did you do it? And that was quick Yeah, okay, there's a problem Just extracting the qrss You ideally want something similar to this video that we had Where is the quality low? This is better Yeah, I want the pqrssd in separate colors And this is something else It's only in this example only qrsspeak is being labeled in different colors Instead Can we use four colors and label p wave separately q notch separately rpeak in a different color r in a different color and speak wave in a different color In a deal with the message text Yeah, assumptions are great Yeah, that's why Yeah This is more like it The labeling off The labeling is a bit off I understand your concern The labeling of ecg components can be refined by identifying specific points for p, q, r, s, and t waves individually However, this would require a more advanced approach than the simple estimation used in the previous example Here's a more detailed example using artificial indices to label each component individually Please note that these are still estimates and in a real world application, you would need to employ advanced signal processing techniques or machine learning models to accurately identify these components And this revised code I've adjusted the indices for segmenting the ecg into p, q, r, s, and t waves individually, and each of them is colored differently I've increased the total window around each rpeak to accommodate individual labeling of all five components I've made sure to make the indices relative to each rpeak so it dynamically adjusts based on the position of each rpeak Remember to replace these estimated indices with the actual indices of each wave component for precise labeling This can be achieved using more advanced signal processing methods or machine learning models trained for ecg signal delineation This last labeling is a bit messy. Can we assume that... So if we're finding rpeaks, can we then just assume that the peak beforehand is q and the peak after that is s And I json to the rpeak, you have q and s It's by the way not quite right, but... Certainly, we can simplify the labeling with these assumptions Here's the updated code to reflect those changes Okay, we have like four minutes to turn it into a Flask application Publish Can we do that? In this version, the segment just before each rpeak is assumed to be the q wave, and the segment just after is assumed to be the s wave The p wave is assumed to be before the q wave, and the t wave is assumed to be after the s wave Please keep in mind these are simplifications, and for a real-world application, you'd likely need a more sophisticated approach to identify these components accurately, especially in the presence of noise or arrhythmias Also, the current code will plot the s wave and the r wave with the same color because they are in the same range You may need to adjust the indices accordingly based on your specific requirements Yeah, the previous one was better, wasn't it? The previous code was producing better results Can we keep the rpeak label as a dot? Once we have that, can we assume that the negative peaks on the left and right are q and s? Can we also assume that before q we have a positive t wave? Can we assume that after t negative peak we have a positive t wave? Certainly. We can improve the labeling by marking rpeaks with dots and making more important assumptions about the positions of p, q, s, and t waves We will search for negative peaks around the rpeaks to identify q and s waves and assume the positive peaks before q and after s as p and t waves respectively Here's an improved version of the code In this improved code, rpeaks are marked with red dots q and s waves are identified as the negative peaks before and after the rpeaks, respectively, within a certain window p waves are assumed to be the positive peaks before the q waves t waves are assumed to be the positive peaks after the s waves The labels are added as dots to make the graph less cluttered This approach should give you more accurate labeling of the ECG components Make sure to adjust the window sizes and thresholds according to the specific characteristics of the ECG signals you are working with Apologies for the confusion It looks like the distance underscore min parameter isn't available in the version of Narokid 2 you are using We can still proceed by just using the height underscore min parameter to filter out the smaller peaks, or we can implement an alternative method to find the peaks Here's the corrected code I removed the distance underscore min parameter and kept the height underscore min parameter to filter out the peaks based on their heights This should help to avoid smaller peaks that are too close to the rpeaks while still identifying the q, s, p, and t waves effectively p wave and t wave are mislabeled There should be local maximans before q and after s Can you fix this? Certainly I apologize for the oversight I'll fix the code to correctly identify the p and t waves as the local maximans before q and after s, respectively Here's the revised code In this revised code I've added a check to ensure that the p and t waves are positive peaks The p wave is identified as the highest positive peak before the q wave within a given window The t wave is identified as the highest positive peak after the s wave within a given window These modifications should result in more accurate labeling of the p and t waves in the ECG signal Adjust the window sizes and thresholds as needed for your specific ECG signals Not messing it up Why? This number is potentially too small Let me know if there's any suggestions or anything I can improve What am I doing wrong? And we over one hour There's nothing in the chat Take a break and see you in a bit