{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":59093,"databundleVersionId":7469972,"sourceType":"competition"}],"dockerImageVersionId":30646,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"UPD:<br>\nNow the images are more readable and I added more explanations on spectrograms!","metadata":{}},{"cell_type":"markdown","source":"# Introduction to research","metadata":{}},{"cell_type":"markdown","source":"HMS-HBAC competition contains two kinds of data: raw EEG and ready-to-use base spectrograms. Approach with base spectrograms gives a good LB score but has low flexibility because of difficult tuning of existing spectogram. For example, we cannot change window type or window size and see results. In this research I will try to explain main features of Short-time Fourier Transform (STFT) and spectrograms and show their advantages and disadvantages.","metadata":{}},{"cell_type":"markdown","source":"# Brief explanation of STFT","metadata":{}},{"cell_type":"markdown","source":"From a practical point of view, Short-time Fourier Transform (STFT) is a kind of Fourier Transform which allows us to see signal in time-frequency domain, unlike usual Fast Fourier Transform (FFT), which allows to see the whole signal only in frequency domain. It is very useful when we want to see signal frequency response in particular moment of time or signal has non-stationary frequency in time domain.<br>\nI will skip low-level mathematical explanation of STFT and begin right from high-level STFT features.<br>\n\nThe main feature of STFT is usage of overlapping (not necessary, but usually) subsets of samples from entire signal, when FFT uses entire signal. Exactly this feature allows us to transform signal to time-frequency domain. <br>\nThe second feature of STFT is window functions. Window functions are needed to attenuate border effects. What are border effects? In simple explanation, border effects are spectrum artifacts caused by discontinuites at rectangular window bounds. Rectangular window comes from FFT and works fine because of usage on full signal but gives bad results when used on subsets of signal.<br>\n\nHere you can see a good graphical explanation of difference between FFT and STFT.<br>\n![image.png](attachment:da194c5b-f96f-4643-a47f-73d12f176524.png)\n\nHowever, STFT isn't a panacea. It has disadvantages, which will be shown a bit later. 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"}}},{"cell_type":"markdown","source":"# Library installation and import","metadata":{}},{"cell_type":"markdown","source":"I will use a newer scipy version because of more flexible API for STFT","metadata":{}},{"cell_type":"code","source":"# We need a newer version of scipy for this notebook\n!pip install --upgrade --no-deps scipy","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:09.689346Z","iopub.execute_input":"2024-02-18T10:32:09.689688Z","iopub.status.idle":"2024-02-18T10:32:17.118484Z","shell.execute_reply.started":"2024-02-18T10:32:09.689657Z","shell.execute_reply":"2024-02-18T10:32:17.117694Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\n# Most popular window in STFT is Hann\nfrom scipy.signal.windows import hann\nfrom scipy.signal import ShortTimeFFT\n\nimport os\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\n%matplotlib inline","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-02-18T10:32:17.120147Z","iopub.execute_input":"2024-02-18T10:32:17.120440Z","iopub.status.idle":"2024-02-18T10:32:17.866696Z","shell.execute_reply.started":"2024-02-18T10:32:17.120415Z","shell.execute_reply":"2024-02-18T10:32:17.865955Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Global variables","metadata":{}},{"cell_type":"code","source":"Fs = 200\nTs = 1/Fs","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:17.867856Z","iopub.execute_input":"2024-02-18T10:32:17.868612Z","iopub.status.idle":"2024-02-18T10:32:17.872375Z","shell.execute_reply.started":"2024-02-18T10:32:17.868586Z","shell.execute_reply":"2024-02-18T10:32:17.871581Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data loading","metadata":{}},{"cell_type":"code","source":"DATA_DIR = '/kaggle/input/hms-harmful-brain-activity-classification'\n\nMETADATA_PATH = os.path.join(DATA_DIR, 'train.csv')\n\nEEGS_PATH = os.path.join(DATA_DIR, 'train_eegs')\nSPECTROGRAMS_PATH = os.path.join(DATA_DIR, 'train_spectrograms')","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:17.874266Z","iopub.execute_input":"2024-02-18T10:32:17.874504Z","iopub.status.idle":"2024-02-18T10:32:17.886459Z","shell.execute_reply.started":"2024-02-18T10:32:17.874483Z","shell.execute_reply":"2024-02-18T10:32:17.885699Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_metadata = pd.read_csv(METADATA_PATH)\ndf_metadata.head(10)","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:17.887457Z","iopub.execute_input":"2024-02-18T10:32:17.887764Z","iopub.status.idle":"2024-02-18T10:32:18.081517Z","shell.execute_reply.started":"2024-02-18T10:32:17.887737Z","shell.execute_reply":"2024-02-18T10:32:18.080681Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"row_num = 1\neeg_id = df_metadata['eeg_id'].iloc[row_num]\nspectrogram_id = df_metadata['spectrogram_id'].iloc[row_num]","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:18.082280Z","iopub.execute_input":"2024-02-18T10:32:18.082468Z","iopub.status.idle":"2024-02-18T10:32:18.088383Z","shell.execute_reply.started":"2024-02-18T10:32:18.082450Z","shell.execute_reply":"2024-02-18T10:32:18.087250Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"EEG_SAMPLE_FILE = os.path.join(EEGS_PATH, f'{eeg_id}.parquet')\nSPECTROGRAM_SAMPLE_FILE = os.path.join(SPECTROGRAMS_PATH, f'{spectrogram_id}.parquet')","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:32:21.286715Z","iopub.execute_input":"2024-02-18T10:32:21.287038Z","iopub.status.idle":"2024-02-18T10:32:21.291565Z","shell.execute_reply.started":"2024-02-18T10:32:21.287012Z","shell.execute_reply":"2024-02-18T10:32:21.290687Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_eeg = pd.read_parquet(EEG_SAMPLE_FILE)\ndf_eeg.head(10)","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:38:12.386239Z","iopub.execute_input":"2024-02-18T10:38:12.386585Z","iopub.status.idle":"2024-02-18T10:38:12.417719Z","shell.execute_reply.started":"2024-02-18T10:38:12.386559Z","shell.execute_reply":"2024-02-18T10:38:12.416883Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_spectrogram = pd.read_parquet(SPECTROGRAM_SAMPLE_FILE)\ndf_spectrogram.head(10)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"I will use Fp1 channel and LL electrode chain from 10-20 montage for drawing. Drawings for 10-20 montage you can see below.","metadata":{}},{"cell_type":"markdown","source":"![800px-21_electrodes_of_International_10-20_system_for_EEG.svg.png](attachment:ae5221e4-8a12-4944-b8bb-44e4326893fd.png)]","metadata":{},"attachments":{"ae5221e4-8a12-4944-b8bb-44e4326893fd.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Plot raw EEG data and spectograms","metadata":{}},{"cell_type":"code","source":"fig, ax = plt.subplots(2, 1, figsize=(20, 12), layout='compressed')\n\nxticks = np.arange(0, Ts*len(df_eeg), 5)\n\nax[0].plot(np.arange(start=0, stop=Ts*len(df_eeg), step=Ts), df_eeg['Fp1'])\nax[0].set_title('Fp1 channel data')\nax[0].set_xlabel('Time, s')\nax[0].set_ylabel('Signal, $ \\mu $V')\nax[0].set_xticks(xticks)\nax[0].set_xlim((0, Ts*len(df_eeg)))\n\nLL_cols = list(df_spectrogram.filter(regex=(\"LL_*\")).columns)\nLL_freqs = [float(x.split('_')[-1]) for x in LL_cols]\nextent = (min(df_spectrogram['time']), max(df_spectrogram['time']), min(LL_freqs), max(LL_freqs))\npos = ax[1].imshow(df_spectrogram[LL_cols].to_numpy().T, extent=extent, aspect='auto', origin='lower')\nax[1].set_title('LL chain spectrogram')\nax[1].set_xlabel('Time, s')\nax[1].set_ylabel('Frequency, Hz')\ncb = fig.colorbar(pos)\ncb.ax.set_ylabel('Amplitude, $\\mu$V')","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:38:16.681740Z","iopub.execute_input":"2024-02-18T10:38:16.682118Z","iopub.status.idle":"2024-02-18T10:38:17.799495Z","shell.execute_reply.started":"2024-02-18T10:38:16.682088Z","shell.execute_reply":"2024-02-18T10:38:17.798400Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We can see that signal has the highest amplitudes on frequencies between 2 and 3 Hz. Let's build our own spectrograms and look closer on it's characteristics.","metadata":{}},{"cell_type":"markdown","source":"# Custom spectrograms","metadata":{}},{"cell_type":"markdown","source":"In our research I will use STFT with Hann window. You can see it's form and frequency response below.","metadata":{}},{"cell_type":"code","source":"window_len = 1024\nhann_window = hann(window_len)\nsfft_hann = ShortTimeFFT(win=hann_window, hop=32, fs=Fs)\nplt.plot(sfft_hann.win)\nplt.title('Hann window')\nplt.xlabel('Sample number')\nplt.ylabel('Amplitude')","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:38:18.148209Z","iopub.execute_input":"2024-02-18T10:38:18.148545Z","iopub.status.idle":"2024-02-18T10:38:18.336578Z","shell.execute_reply.started":"2024-02-18T10:38:18.148517Z","shell.execute_reply":"2024-02-18T10:38:18.335676Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:413612cd-6288-4e71-bad2-78069b6846e3.png)","metadata":{},"attachments":{"413612cd-6288-4e71-bad2-78069b6846e3.png":{"image/png":"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"}}},{"cell_type":"code","source":"#Demean data to remove DC bias\nfp1_data = df_eeg['Fp1'].to_numpy()\nfp1_data = fp1_data - np.nanmean(fp1_data)","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:38:20.680454Z","iopub.execute_input":"2024-02-18T10:38:20.680841Z","iopub.status.idle":"2024-02-18T10:38:20.686128Z","shell.execute_reply.started":"2024-02-18T10:38:20.680812Z","shell.execute_reply":"2024-02-18T10:38:20.684709Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"What's next?\nSTFT has different parameters to tune. The most important are window length and length of FFT (called as mfft in scipy).<br>\nWindow length is used to change time and frequency resolution. mfft is needed if you want to make FFT length larger than window length. Samples outside the window are treated as 0 (zero-padded FFT). It is useful when you have only a few points but want to increase frequency resolution. <br>\nNext parameter is hop or sample increment for sliding window. Hop is used to regulate the window time step.<br>","metadata":{}},{"cell_type":"code","source":"win_sizes = (32, 64, 128, 256, 512, 1024)\n\nfig, ax = plt.subplots(len(win_sizes), len(hops), figsize=(20, 17), layout='compressed')\n\nwin_counter = 0\nfor window_len in win_sizes:\n    hann_window = hann(window_len)\n    mfft = 2*(window_len)\n    hop = window_len//10\n    sfft_hann = ShortTimeFFT(win=hann_window, hop=hop, fs=Fs, mfft=mfft)\n    Sx_hann = abs(sfft_hann.stft(fp1_data))\n    max_freq = 20\n    max_freq_idx = int(max_freq//sfft_hann.delta_f)\n    Sx_hann = Sx_hann[:max_freq_idx, :]\n    df = sfft_hann.delta_f\n    dt = sfft_hann.delta_t\n    yticks = np.arange(0, max_freq, 5)\n    xticks = np.arange(0, max(sfft_hann.t(len(fp1_data))), 5)\n    extent = (min(xticks), max(xticks), min(yticks), max(yticks))\n    pos = ax[win_counter].imshow(Sx_hann, extent=extent, aspect='auto', origin='lower', cmap='jet')\n    ax[win_counter].set_title(f'{window_len} window length, mfft {mfft} spectrogram')\n    ax[win_counter].set_xlabel('Time, s')\n    ax[win_counter].set_ylabel('Frequency, Hz')\n    ax[win_counter].set_yticks(yticks)\n    ax[win_counter].set_xticks(xticks)\n    cb = fig.colorbar(pos)\n    cb.ax.set_ylabel('Amplitude, $\\mu$V')\n    win_counter += 1","metadata":{"execution":{"iopub.status.busy":"2024-02-18T10:56:27.441441Z","iopub.execute_input":"2024-02-18T10:56:27.441775Z","iopub.status.idle":"2024-02-18T10:56:31.533224Z","shell.execute_reply.started":"2024-02-18T10:56:27.441748Z","shell.execute_reply":"2024-02-18T10:56:31.532118Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"win_sizes = (32, 64, 256, 512, 1024)\n\nfig, ax = plt.subplots(1, len(win_sizes), figsize=(20, 20), layout='compressed', subplot_kw={\"projection\": \"3d\"})\n\ndt_list = []\ndf_list = []\n\ncounter = 0\nfor window_len in win_sizes:\n    hann_window = hann(window_len)\n    mfft = 2*(window_len)\n    hop = window_len//10\n    sfft_hann = ShortTimeFFT(win=hann_window, hop=hop, fs=Fs, mfft=mfft)\n    Sx_hann = abs(sfft_hann.stft(fp1_data))\n    df = sfft_hann.delta_f\n    dt = sfft_hann.delta_t\n    dt_list.append(dt)\n    df_list.append(df)\n    x = sfft_hann.t(len(fp1_data))\n    y = sfft_hann.f\n    x, y = np.meshgrid(x, y)\n    #surf = ax[counter].plot_surface(x, y, Sx_hann, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8, alpha=0.3)\n    surf = ax[counter].plot_surface(x, y, Sx_hann)\n    ax[counter].set_title(f'{window_len} window length spectrogram')\n    ax[counter].set_xlabel('Time, s')\n    ax[counter].set_ylabel('Frequency, Hz')\n    ax[counter].set_zlabel('PSD')\n    #ax[counter].set_yticks(yticks)\n    #ax[counter].set_xticks(xticks)\n    cb = fig.colorbar(pos)\n    cb.ax.set_ylabel('Amplitude, $\\mu$V')\n    counter += 1","metadata":{"execution":{"iopub.status.busy":"2024-02-18T11:01:01.527885Z","iopub.execute_input":"2024-02-18T11:01:01.528258Z","iopub.status.idle":"2024-02-18T11:01:04.629977Z","shell.execute_reply.started":"2024-02-18T11:01:01.528196Z","shell.execute_reply":"2024-02-18T11:01:04.629163Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We can see that frequency resolution gets higher with window size. But time resolution simultaneously gets worse. Such effect is a consequense of [uncertainty principle](https://en.wikipedia.org/wiki/Uncertainty_principle). It is the main disadvantage of STFT. Let me illustrate it on simple example.","metadata":{}},{"cell_type":"code","source":"Fs = 1e6\nTs = 1/Fs\n\ntime_samples = np.arange(0, 0.1+Ts, Ts)\nsignal = np.zeros(len(time_samples))\nsignal","metadata":{"execution":{"iopub.status.busy":"2024-02-18T11:01:33.225080Z","iopub.execute_input":"2024-02-18T11:01:33.225419Z","iopub.status.idle":"2024-02-18T11:01:33.232892Z","shell.execute_reply.started":"2024-02-18T11:01:33.225391Z","shell.execute_reply":"2024-02-18T11:01:33.232131Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for i in range(len(signal)):\n    if i < len(signal)//4:\n        signal[i] = np.sin(2*np.pi*300*time_samples[i])\n    if i >= len(signal)//4*1 and i < len(signal)//4*2:\n        signal[i] = np.sin(2*np.pi*200*time_samples[i])\n    if i >= len(signal)//4*2 and i < len(signal)//4*3:\n        signal[i] = np.sin(2*np.pi*100*time_samples[i])\n    if i >= len(signal)//4*3:\n        signal[i] = np.sin(2*np.pi*50*time_samples[i])","metadata":{"execution":{"iopub.status.busy":"2024-02-18T11:01:36.065310Z","iopub.execute_input":"2024-02-18T11:01:36.065683Z","iopub.status.idle":"2024-02-18T11:01:36.265941Z","shell.execute_reply.started":"2024-02-18T11:01:36.065631Z","shell.execute_reply":"2024-02-18T11:01:36.264877Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"win_sizes = (16384, 32768, 65536)\nmax_freq = 400\nfig, ax = plt.subplots(1, len(win_sizes), figsize=(20, 20), layout='compressed', subplot_kw={\"projection\": \"3d\"})\n\ncounter_win = 0\nfor window_len in win_sizes:\n    hann_window = hann(window_len)\n    hop = window_len//10\n    mfft = 2*window_len\n    sfft_hann = ShortTimeFFT(win=hann_window, hop=hop, fs=Fs, mfft=mfft)\n    Sx_hann = abs(sfft_hann.stft(signal))\n    df = sfft_hann.delta_f\n    dt = sfft_hann.delta_t\n    print(f'Freq step {df}, time step {dt}, win size {window_len}, hop {hop}')\n    x = sfft_hann.t(len(signal))\n    y = sfft_hann.f[:int(max_freq/df)]\n    x, y = np.meshgrid(x, y)\n    #surf = ax[counter].plot_surface(x, y, Sx_hann, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8, alpha=0.3)\n    surf = ax[counter_win].plot_surface(y, x, Sx_hann[:int(max_freq/df), :], cmap=cm.coolwarm)\n    ax[counter_win].set_title(f'{window_len} window length, {mfft} mfft spectrogram')\n    ax[counter_win].set_ylabel('Time, s')\n    ax[counter_win].set_xlabel('Frequency, Hz')\n    ax[counter_win].set_zlabel('PSD')\n    #ax[counter].set_yticks(yticks)\n    #ax[counter].set_xticks(xticks)\n    cb = fig.colorbar(pos)\n    cb.ax.set_ylabel('Amplitude, $\\mu$V')\n    counter_win += 1","metadata":{"execution":{"iopub.status.busy":"2024-02-18T11:06:17.486828Z","iopub.execute_input":"2024-02-18T11:06:17.487149Z","iopub.status.idle":"2024-02-18T11:06:18.591623Z","shell.execute_reply.started":"2024-02-18T11:06:17.487125Z","shell.execute_reply":"2024-02-18T11:06:18.590809Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"What we can see?<br>\nTime step depends on hop value. In this example it is not so critical because of high sample rate and large number of samples.<br>\nHigher window length gives tighter peaks for frequency but wider for time - resolution becomes more inaccurate in time domain.<br>\n","metadata":{}},{"cell_type":"markdown","source":"# Small conclusion","metadata":{}},{"cell_type":"markdown","source":"The main conclusion is that STFT needs accurate tuning to represent correct time-frequency resolution of signal and improve LB score.<br>\nYou can change 4 parameters - window, window length, FFT length and hop. <br>\n1. Be accurate when choosing window - take a look at it's frequency response, it is important to suppress the border effect. <br>\n2. Window length can completely change the situation because time and frequency resolution completely depends on it. <br>\n3. FFT length is useful when you need to lower the frequency step but can be harmful for data quality when wrong value is chosen. <br>\n4. Hop changes time step and as a consequence, the length of spectrogram. But very large hop lowers data quality.","metadata":{}}]}