 Hopefully the microphone is working, okay, jump straight into it. So get up, compile with this frequency spectrogram view for us, the problem with it is that it's only accessible by a different URL, so not within the same window. So actually I have to go to where the URL is, slash spectrogram, it's actually running, and we'll show the spectrogram in a separate, plotly window, which obviously not quite what we want, but yeah, I think that's the whole hundred, the whole data loaded, the whole hundred seconds, so you can see the seizure over there, yeah, the colors are not great, it was usually kind of need more focus in the lower frequencies, potentially after the frequency scale logarithmic, right, so that's how it's loading, yes, those inputs do not take effect over the spectrogram, okay, another option, okay, so we want to show the spectrogram in the html, so in the html we should have a spectrogram plotly container in the plots wrapper, why do we have it twice, so something wrong with that, plots wrapper, plot container, we have the raw signal, the frequency spectrum, they have the output container, okay, this is the wrong place for it, we want it over here somewhere, yeah, we need to refresh this page, okay, I don't know what that is, we'll sort it out later, now in JavaScript code to generate and display the spectrogram, well, the specifics of your html, we might need to use library like scipy, once you have the spectrum data you can use plotly.js to create the plot, use the generate simple file to do it, we have a get the dot, we have a fetch dot and render, okay, this is actually changing, okay, so instead of a separate window, still using that, okay, let's clear this up, sounds like I need to blame the file first, so it actually goes so that GitHub cobalt has access to it, okay, then we have the JavaScript cobalt, explain this, this is mainly so that cobalt has access to the files, we can ask something in line, but we don't even know where to start, okay, so it's generating stuff, so what we want really is having an option to replace the spectrum by a spectrogram, which is much more detailed, essentially a two-dimensional thing, just create the html data, the translation begins, yes, fetch dot and render function is the core of the script, okay, fetch, fetch and render, okay, and now we have this canned format document, let's configure this formata but can not format by the files, spike formata, still a thing, seems to be, explain this, okay, we need to get the names runtime here or something, was this still working, right, closing that window didn't stop a app from working, okay, that's working, okay, now in the html we don't want to use an image file, don't want to spectrate an image file, can convert the basics from constrict and then directly into html, don't understand, why not just use, that's still using an image, okay, we just use plotly or because we're using both, yeah, this is actually plotting the thing in a separate window, but how about plotly j s, yeah, we need to send it down with a flask, so the problem won't be using that, which is okay, it's actually currently working, even though it's displaying the thing in a separate window, but I'll just create a copy for, well, actually all the files that we are going to change back to the sheet, so we already have JSON file imported, now in spectrogram, should be at the bottom here, place them side by side for a sec, it is no wave file, there is no wave file, it's the data is already loaded, do you have access to the files or not, never to show a control, I use that piece already loaded, it's hard to roll shoot this way, looks legit, yeah, it's using the data variable, so we'll accept that, okay, it's returning a html and json, let's go back to the chat, so in the html we should already have that mean js, is that one, is it using, yeah, latest mean js, why is this script, why can't you just not use the javascript for this, don't get it, why is js not in the eg js, yeah, that's fine, so in html we have a section for this spectrogram plot, should be underneath there, explain this, it's mainly doing this so copad has access to that line, okay, how did this javascript become so complicated, spectrum, now there is spectrum, how about spectrogram, okay, I'm doing something wrong, can I just do this control add change, no, that's not what I meant, okay, it doesn't have the context, this thing, let's try gpt, let's start a new chair, gpt4, no, that's this card, let's do some rubbish, yeah, confirm reading the code, don't generate anything yet, let's say sometimes it ignores this instruction, yep, that's good, this one should also have this, read the code, don't generate anything at the bottom, we actually have the x2 speech running, it describes a web service for eg data visualization with functionality to load eg data from a text file, filter it using a button with bandpass filter, perform weighted denoising and calculate and render spectrograms, there are also routes to serve page templates and handle api requests for fetching processed eg data, the code includes the definition of the flask app, routes for serving the main page and handling data requests and functions for signal processing using skippy and pywt libraries, it also calculates the signal to noise ratio, snr and mean square error, mse, to evaluate the quality of the signal processing, guess the main thing is that the spectrogram is not showing in the html and let's see what's this, the issue with the spectrogram not showing in the html could be due to several reasons, here are some potential causes and solutions, root overlap, there are two routes to spectrogram which might be causing confusion, flask might only be using the first one declared, rendering the second one unreachable, ensure each route in a flask app has a unique endpoint, okay that's a good suggestion, yeah i want to do the second one, javascript and plotly integration, the display underscore spectrogram function uses mapplotlet to show the plot which works in a python environment but not directly within an html page served by flask, to display plots on a web page you should be able to use a javascript library like plotly js which can be integrated into the html template, okay that's a good advice, data passing to javascript you're attempting to send data to spectrogram html there's a json string with spectrogram underscore json equals js onify spectrogram, this data must be correctly handled in the javascript within the html trend of the plot yeah we haven't changed the javascript yet correct use of plotly in web page, if using plotly in the web page you need tried javascript code that defines the data structure for a spectrogram and then calls plotly new plot to render it within a specified lesson div greater than element right i have to do that, template rendering the flask route for spectrogram should pass the necessary data to the template rendering function in a format that can be used directly in the template, here's a corrected version of your flask route and an example of how you might address your html to display the spectrogram using plotly okay let's do that just go with that one for now and then in html yeah wait a second, so we have one html and we should have the file structure now we don't have the file structure, the script should be separate yeah okay so first of all it's getting a bit mixed up we have the spectrogram plot let's do js first, oh let's do html first, sorry for that this code extends the spectrogram then we need to do the same with javascript yeah we want to use javascript to render it, here's step by step okay we already did this, so the same we're changing it again, it's changing it yeah it's actually better because it's not generating html file it's just generating json add data, this is better in your script js file or within a lesson script greater than tag in your html add a function to fed the spectrogram data and render it give me where functions, okay let's do it there and call it you can call fetch and display spectrogram when the page loads or when a user interacts with control that should update the spectrogram such as the channel selector or a button for example it can just be placed on the function, there's not gonna be any errors and in the html we have that division, yep that's right make sure you have included the script js file after the plotly latest dot min js script tag in your html head or before the closing lesson body greater than tag yeah we should have that, okay remember to check for any cause issues if you're fetching data from a different domain or port, since you're likely serving the html through flask it should not be an issue, it's good to be aware of it by following these steps you should be able to fetch the EEG data from your flask application and display the spectrogram using plotly in your html page do we need a proper restart, let's do a proper restart don't even see even the placeholder for the plot is this clearing them somehow just go by to explain the beat of the elements the is to clear previous plots to understand what it means but it's probably getting relatively sick okay let's go back to GPT to see the spectrogram sorry super long prompt, probably get penalized for it and i need to keep the context intact the provided html code is set up to work with flask and plotly for EEG data visualization including a spectrogram however the code does not include the actual JavaScript that would retrieve and display the spectrogram data here's a more detailed explanation and what you can do to fix it data retrieval ensure that your flask server has an endpoint that serves the spectrogram data this endpoint should return json data that can be plotted by plotly and i've described in the previous response JavaScript integration you need to have JavaScript code that makes an ajax called to the flask endpoint to retrieve the spectrogram data and then uses plotly to display it it seems like you have a placeholder for where the spectrogram should be displayed less than div ad equals spectrogram plotly div greater than less than div greater than but the JavaScript to actually fetch and display the spectrogram is missing or not included in the shared code snippet so let's make sure JavaScript do we need to change i think i stopped something up in it dom content loaded event you have nested dom content loaded eventlessness which is unnecessary you should only need to define it once the inner dom content loaded event listener that you have at the bottom of your code is redundant but if you're already inside a dom content loaded event listener block this bit here is a it's not just removed that it should be at the beginning of fetch and render should be at the end fetching spectrogram data the function fetch and display spectrogram is defined correctly we need to make sure that the spectrogram underscore data endpoint in your flask application is set up to return the data in the correct format initial call to fetch and display spectrogram make sure that the initial call to fetch and display spectrogram uses the currently selected channel value from channel selector instead of defaulting to zero every time it's only that it doesn't matter what the function is is it and function fetch and render should be at the bottom it's the second function over here and make a call function and event listener make sure to remove the inner dom content loaded event listener and use the existing one also ensure that your flask backend is correctly handling the spectrogram underscore data endpoint the function fetch data and render should be invoked within the same dom content loaded listener as shown above well right it's actually working it's displaying the spectrogram for the whole hundred seconds and by the description is overlapping like that lastly check the flask backend fairly potential errors in the spectrogram data handling and ensure that the endpoint is correctly configured to serve the data if the endpoint is correct and the javascript is properly fetching and plotting the data the spectrogram should display as expected on the web page the spectrogram is displayed okay it's using the entire data loaded and just save this because hopefully if it understands the context it should realize that we want to link to those controllers as well if the spectrogram is using the entire data set instead of the desired window you need to adjust both your flask backend to accept parameters for the time window and your javascript front end to send these parameters when making the request here's how you can adjust the flask root to accept the start underscore second and window underscore size parameter and use them to slice the data set appropriately setting the same thing when calling fetch and display spectrogram ensure you pass the start second and window size parameters based on the current position of the scroller and the selected window size adjust your fetch and display spectrogram function to include these parameters it's having all the context and everything which is awesome then make sure to update the eventlessness to call fetch and display spectrogram with the correct arguments so I don't so I don't need to do that anymore do I if I don't need this a fast scroller do I have it there's a let's change okay okay and select the window size of 100 it should really go to the beginning of the file set this to around 50 oh yeah it's working pretty well the amplitude's here it's the third axis the color there our auto scaling looks pretty good it had a better better one this e g review which was a bit heavy still loading but it had this nice bit there it was quite handy and it was nice and we'll see how we introduce that should we get rid of the frequency spectrum just take a quick break by the way a co-authored with GPT we wrote this blog on the topic of e g monitoring in the icu it's also generated some nice images but don't think they quite look as icu there's also not much sense for the screen to be behind the patient kind of thing but it's a good image overall and then there's this interesting looking the head stage kept asking it to reduce the number of electrodes but it wouldn't do it it was still resort to how many electrodes it feels like should be there the text should be pretty decent and we can read it to give I feel like imagine a world where every figure of neural activity in a patient's brain is mapped in real time providing critical care teams with the insights they need to make life-saving decisions this is the promise of advanced e g monitoring in the icu a frontier of medical technology where innovation meets patient care in this article we'll delve into the latest advancements that are shaking the future of neurological monitoring one way form at a time to reduce this speed by a few lodges electroencephalography ee g is a non-invasive technique for monitoring brain activity ee g is used in a variety of clinical settings including the intensive care unit icu where it is used to monitor patients with neurological conditions such as seizures coma and brain death icu ee g monitoring systems are designed to be portable and easy to use with the ability to capture and analyze ee g data in real time these systems are also equipped with advanced software for signal analysis and trend monitoring as the medical community's understanding of neurological conditions and brain monitoring continues to deepen the need for more advanced icu ee g monitoring systems will grow this article will explore the future of icu ee g monitoring and the enhancements on the horizon future ee g systems must enhance their ability to distinguish between physiological signals and environmental noise a common challenge in the icu innovations in artifact rejection and advanced software algorithms will be crucial for improving the accuracy of ee g data interpretation there's a lot of fluff it's getting into nitty-gritty into some technical details over here artifact rejection future ee g systems must distinguish more effectively between physiological signals and environmental noise this improvement would mitigate the interference from other medical devices and patient movement advanced algorithms are in development to enhance artifact rejection capabilities ensuring that the data captured reflects true cerebral activity yeah that's kind of much there electrode impedance is a critical determinant of signal quality in electroencephalography ee g monitoring particularly in intensive care units icu where ee g is an indispensable tool for tracking brain activity in patients with various neurological conditions impedance reflects the resistance to current flow at the electrode skin interface with low levels being ideal for reducing noise and enhancing signal accuracy high impedance often due to poor electrode skin connections delete increased noise and potential misinterpretation of ee g data making it a significant hurdle in critical care settings where frequent electrode adjustments may be impractical the quality of ee g recordings is largely contingent upon maintaining low impedance levels which can be difficult in the icu due to various constraints the electrode material the conductive gel quality skin preparation and the presence of hair or dermal oils all affect impedance while the target is typically below five kilo ohms achieving this in an icu environment is often a challenge signal quality metrics such as the signal to noise ratio s n r serve as quantitative measures for assessing the fidelity of ee g recordings with higher s n r indicating better signal clarity yeah essentially ee yeah generally we talk about how dsp can improve signal quality so even if your impedance is too high you could still get the meaningful signal out of the recording digital signal processing dsp is pivotal in addressing high impedance issues employing techniques that filter out noise and improve the ee g's readability adaptive filtering for example automatically adjusts the signals quality enhancing the ee g by reducing noise that can obscure critical data artifact rejection algorithms are capable of identifying and excluding noise patterns that originate from common artifacts such as those caused by other medical devices noise cancellation through wavelet denoising targets high frequency interference which high impedance often amplifies while real time impedance monitoring enables clinicians to rectify electrode connection issues promptly now right so this is essentially the speed of dsp processing in the icu should be much faster integrating machine learning with dsp may further revolutionize ee g monitoring by training algorithms to recognize and correct for impedance related noise thereby refining the automation of neurological assessments the employment of these advanced dsp techniques can substantially improve the reliability and clarity of ee g data supporting critical clinical decision making for patient management in icu's as the technology evolves incorporating such advanced dsp methods into standard practice will likely become more prevalent marking a new era in patient care through more accurate and efficient brain activity monitoring anyway you get you get the gist maybe we could just read yourself should have made a video of how the article was created actually but yeah i did it off line but as you can tell a there were extra prompts i don't remember can actually show the previous prompts kind of thing i just do it another time just jump we go back to what to what doing just realized some of those so some of those controls we don't need the text of this written with the text on the side why that's what that sentence was there for this command and it should be perhaps like this yeah clear something it is better just get read oops just get rid of that we also don't need lock spectrum a linear lock it could change that scale into those let's display the cable cold as well no how to remove remove this second port while everything else is still shown correctly currently it's messing up those numbers there no what's up there yeah delete that find the element in css so we haven't touched our css file in a while probably quickly so what's up we have a couple of options if the element just scraped right to fix the just scraped all right now this one's working as well it's good yeah it's a bit grainy should be switching yeah the wavelet denoise doesn't do anything at a month why by what what is it doing javascript control the state of the checkbox checked or unchecked is read by javascript to determine whether to include the wavelet denoising parameter when fetching data from the server data fetching and processing when fetching data your javascript code constructs a query string with the current settings of all controls including the wavelet denoise checkbox the parameter indicating the wavelet denoising preference is included in the request to the server server side processing on the server your flask application the wavelet denoise parameter controls whether the wavelet denoising algorithm is applied to the EEG data before sending it back to the client for visualization yeah it's not actually anything wavelet denoising is a signal processing technique that aims to remove noise from a signal while preserving as much of the signal content as possible it uses wavelets to decompose the signal into different frequency bands and then selectively thresholds these bands to reduce noise the denoised signal is then reconstructed from the modified wavelet coefficients the wavelet denoise control allows users to interactively decide whether they want the displayed EEG data to be processed with this denoising technique giving them control over the level of smoothing applied to the data doesn't actually seem to do anything shell script check javascript event listeners ensure that there's an event listener attached to the wavelet denoise checkbox that triggers the data fetching and rendering function when it state changes verify data fetching includes wavelet denoise confirm that the checkbox state is correctly included in the parameters when making the API request ensure back-end handles the parameter on the flask server side verify that the request parameter for wavelet denoising is being processed if it's a boolean value ensure that it's interpreted correctly request arguments are strings by default right that's actually changing the thing to change it and all the other applications i think only have the one feedback in civic yeah where were we when the denoise thing arguments get just find it like throughout the project get a copy can go then i also have it in denoise was added as well one run at a time will assume will assume it's working okay not testing is a great idea isn't it well because we're essentially testing the same thing right here okay now the spectrogram is only being affected by this scroller in frequencies scale to change spectrogram y axis should be straightforward i don't know windows size html step some once why i actually have to click it to change the frequency scale of the spectrogram's y axis based on user selection you will need to modify both the flask back end to provide the necessary data in the chosen scale and the front end to correctly render this scale in plotly in your flask route that serves spectrogram data you might need to adjust the frequency values based on the chosen scale linear or logarithmic however this is typically not necessary to be done server side since plotly can handle logarithmic scaling on the client side without requiring any changes to the data javascript front end to switch between linear and logarithmic scales on the plotly plot you can use a javascript function that updates the plot's layout to reflect the selected frequency scale this can be triggered by an event listener attached to the frequency scale select box here's how you might adjust your fetch and display spectrogram function to handle changes in frequency scale yes so javascript fetch and display spectrogram after fetching the data after fetching the data and within that then where you process and plot the data it's already typed in trace the comma there and here's how you might set up the event listener for the frequency scale select box an event listener change function it's better this this will trigger a refetch of the spectrogram data whenever the frequency scale is changed however if you only want to change the scale without refetching the data which is more efficient if the data doesn't change you can simply update the y-axis of the existing plot no it's working okay a whole spectrum can be removed whole spectrum input whole spectrum toggle or something can html get this bit get rid of that okay now we don't see what that's not cool if you have any javascript that handles the state of the whole spectrum checkbox you should also remove or comment out those references this could be within event listeners or functions that fetch and process data based on the checkbox estate this one let's show you okay linear lock lock is default that's good add this filter or that was only affecting the e.g. spectrum okay get rid of it here another input okay this still doesn't work okay that's working and it's again it's for the denoising frequencies scales working where's this going from that show it underneath this yeah lock is default that's fine those are okay frame scale is a k-chill number and now the main thing is the the e.g. spectrum it's this thing called a plotlet if javascript we have it over there we needed to update when inputs change currently it's only updating when the file scroller is being used to update the spectrogram plotlet div when inputs change you need to ensure that the event listeners for your input controls call a function to update the spectrogram this function should fetch the latest data using the current settings and re-render the spectrogram plot accordingly yeah how to do it here's a step by step guide to updating the spectrogram plotlet div when input changes do i need a separate don't figure out a separate thing create a function to update the spectrogram define a function that fetches new spectrogram data using the current input values and updates the plot i already have a function for that yes you can use the fetch and display spectrogram function to update the spectrogram plotlet div when inputs change the function needs to be called with the current values of the inputs whenever any input that affects the spectrogram is changed the function will fetch the appropriate data based on those input values and then update the plot accordingly the key is to ensure that fetch and display spectrogram is designed to use the current state of all relevant inputs here's how you can set up your inputs to call fetch and display spectrogram appropriately the whole seizure spectrogram in the frequency domain by the way so we really when we have the window size at the full 100 you should in theory not be able to scroll through the valve because it's the whole segment is loaded and it's how it looks like on different channels on some channels you see more on some channels you see less of it and there's a problem with this one because of that the spike there it's also this is updating with input instead of change just like the change window size with input you have the window size and change this to input quickly just to see yeah it's becoming much slower and I can hear my server it's going yeah there's much more data in there and becomes less responsive as well not just the stick to change kind of nice to see it changing live but then it's taking a toll on my server I'll get a huge electricity bill so it might actually in this spectrogram as well yeah do it change there yeah so I actually have to de-click release the button release the mouse button for the changes to take effect just fine now this spectrogram also should change when you turn the noise on and off as in you don't turn them on and off because they both displayed on the e-g signal chat but for the spectrogram it will display one and then the other yeah that's the linear frequency scale that's a logarithmic for the seizure on channel 7 that's what it looks like channel 11 now a channel the picture so the only thing that is the only controller that working with input instead of change is the scroller updating the numbers all other controllers you actually have to release the button for them to change anything get the point yeah log log scale for the frequency here is default because you can see better especially when there's a seizure what's going on by the way this is this would be the so this is reloading the page this is default this is just showing you the low frequency component because the colors there are automatically scaled yeah it's getting up to 6000 during seizure and only 1500 when there is no seizure give me these arrows at the edges we'll fix it a little bit later yeah so you see here you have this nice and stable line through the seizures but that's not always the case if you want to train something a seizure detector algorithm you will use that line problem is it's not always there that's the end of the seizure as well but yes there's higher energy in the low frequency components that's for sure a throughout the seizure yeah this channel seven is not great as well some of them will be better than others check something a chance like the window size yeah that's five it's what's it's the three things that's changing the spectrogram a channel number the file scroller and window size and frequency scale of course that's done in a different way enough for wavelet the noise okay the spectrum should also be affected by a wavelet the noise because when it's on it should be taking the noise signal and when it's off the spectrum should show the original one and how do we turn this into a prompt noise it would also affect the spectrogram and we might not prime it with any more information see if it gets the context and be able to tell straight away if it understands what we mean if you want wavelet the noise control to also change the spectrogram you need to ensure that the event listener for the wavelet the noise checkbox calls the fetch and display spectrogram function with the current input values here's how you can set up the event listener for the wavelet the noise checkbox yeah i'm not entirely convinced it understands what we are trying to do yeah we already have that pretty sure make sure that the fetch and display spectrogram function is capable of taking into account the state of the wavelet denoise checkbox the checkbox state can be included in the fetch request as a parameter and the server side logic should then apply the wavelet denoising based on this parameter before sending back the data here is a snippet of how the server might handle the wavelet denoise parameter yeah i'm still not convinced it understands with the wavelet denoise checkbox linked to your fetch and display spectrogram function toggling the checkbox should now update the spectrogram according to the denoising setting remember to handle the checkbox state both on the client side when sending a request and on the server side when processing the request all right so the question is well how does spectrogram will update the in relation to wavelet denoise on and off i mean we know what the answer for that should be am i sorry for that horrible noise that's a car outside parking this horrible screeching sound and the suspension whatever an old car to remember to remove it when video editing back to this so we ask what will happen when the wavelet denoise input is toggled out will change the spectrogram wavelet denoise toggle affects the spectrogram by altering the data that is used to generate the spectrogram wavelet denoising is a technique to remove noise from the signal which can change the appearance of the signal's frequency time representation when this input is toggled it should trigger a process that applies or removes the denoising filter from the EEG data and then regenerates the spectrogram to reflect the denoised or original signal guess it seemed to be answering what is correctly every control that affects the spectrogram should call fetch and display spectrogram with the current state of all relevant inputs this includes the channel selector the file scroller the window size input and the wavelet denoise toggle after making these changes test the application to ensure that toggling the wavelet denoise checkbox updates the spectrogram as expected you should be able to see a difference in the spectrogram's appearance with denoising applied versus without it reflecting the filter's impact on signal noise um right so we're ready i also want to know why the spectrogram looks so granular so low low res and we had something like this in lab view before so surely yeah we could just change the settings and check it out straight away actually using sci-fi what are we using don't think we use this function as well do we yeah this is coming from a plot a where's the BLT mudplot label the function called ram this is the one we are using i don't think so surprise we're not using the sci-fi thing get rid of that get sexual function yeah we're using signals spectrogram yes that's what it does and signal okay it's a sci-fi function it's a mudlap style IIR filter now the actual parameter can be so it's returning on one side that's okay has the trend function in build yeah this window okay this is a kit up suggesting stuff segment window optional length of each segment default defaults to none but window is string what double is that 256 points to overlap for a window of 10 i have those 10 and now we have yeah we could have those parameters potentially as inputs you will try to improve uh on this and we will continue next time we could add a more of these parameters as inputs i think it's even not in there yeah that's wrong yeah this window it's the default option it doesn't seem to change much anyway we'll continue from where we left off tomorrow