diff --git a/LonePSD_A_matlab_preprocessing.m b/LonePSD_A_matlab_preprocessing.m index 5baeb34..129c59a 100644 --- a/LonePSD_A_matlab_preprocessing.m +++ b/LonePSD_A_matlab_preprocessing.m @@ -12,7 +12,7 @@ %% Load Data % Load a single channel of data -load('dat/ch_dat_one.mat'); +load('data/ch_dat_one.mat'); %% Calculate Power Spectra diff --git a/LonePSD_B_python_fooofing.ipynb b/LonePSD_B_python_fooofing.ipynb index 8aadc16..9b7b7a4 100644 --- a/LonePSD_B_python_fooofing.ipynb +++ b/LonePSD_B_python_fooofing.ipynb @@ -37,11 +37,11 @@ "outputs": [], "source": [ "# Load the mat file \n", - "dat = loadmat('power_spectrum.mat')\n", + "data = loadmat('power_spectrum.mat')\n", "\n", - "# Unpack data from dictioanry, and squeeze into numpy arrays\n", - "freqs = np.squeeze(dat['freqs'])\n", - "psd = np.squeeze(dat['psd'])" + "# Unpack data from dictioanry, and squeeze numpy arrays\n", + "freqs = np.squeeze(data['freqs'])\n", + "psd = np.squeeze(data['psd'])" ] }, { @@ -65,7 +65,7 @@ "text": [ "\n", "FOOOF WARNING: Lower-bound peak width limit is < or ~= the frequency resolution: 0.98 <= 0.50\n", - "\tLower bounds below frequency-resolution have no effect (effective lower bound is freq-res)\n", + "\tLower bounds below frequency-resolution have no effect (effective lower bound is the frequency resolution).\n", "\tToo low a limit may lead to overfitting noise as small bandwidth peaks.\n", "\tWe recommend a lower bound of approximately 2x the frequency resolution.\n", "\n", @@ -73,31 +73,28 @@ " \n", " FOOOF - POWER SPECTRUM MODEL \n", " \n", - " The model was run on the frequency range 1 - 50 Hz \n", + " The model was run on the frequency range 1 - 30 Hz \n", " Frequency Resolution is 0.98 Hz \n", " \n", - " Background Parameters (offset, slope): \n", - " 2.4003, 2.2425 \n", + " Aperiodic Parameters (offset, exponent): \n", + " 2.1558, 1.7687 \n", " \n", - " 5 peaks were found: \n", - " CF: 8.49, Amp: 1.664, BW: 3.05 \n", - " CF: 16.77, Amp: 0.938, BW: 5.18 \n", - " CF: 21.93, Amp: 0.548, BW: 1.65 \n", - " CF: 25.19, Amp: 0.408, BW: 3.93 \n", - " CF: 31.46, Amp: 0.292, BW: 3.23 \n", + " 2 peaks were found: \n", + " CF: 8.45, PW: 1.489, BW: 2.72 \n", + " CF: 16.79, PW: 0.651, BW: 3.44 \n", " \n", " Goodness of fit metrics: \n", - " R^2 of model fit is 0.9938 \n", - " Root mean squared error is 0.0563 \n", + " R^2 of model fit is 0.9794 \n", + " Error of the fit is 0.0776 \n", " \n", "==================================================================================================\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
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" ] }, "metadata": { @@ -108,7 +105,7 @@ ], "source": [ "# Fit the FOOOF model, and report\n", - "fm.report(freqs, psd, [1, 50])" + "fm.report(freqs, psd, [1, 30])" ] }, { @@ -132,7 +129,7 @@ "outputs": [], "source": [ "# Save FOOOF results out to a mat file\n", - "savemat('fooof_results', fooof_results_dict)" + "savemat('fooof_results.mat', fooof_results_dict)" ] } ], @@ -152,7 +149,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.1" + "version": "3.7.4" } }, "nbformat": 4, diff --git a/MultiPSD_A_matlab_preprocessing.m b/MultiPSD_A_matlab_preprocessing.m index 2b278b2..80c9e6b 100644 --- a/MultiPSD_A_matlab_preprocessing.m +++ b/MultiPSD_A_matlab_preprocessing.m @@ -1,8 +1,8 @@ %% Matlab PreProcessing - Multiple PSDs -% +% % This script is an example, with multiple power spectra, -% of integrating Python FOOOF into a Matlab workflow. -% +% of integrating Python FOOOF into a Matlab workflow. +% % It is part of a trio of files that must be run in order: % - `MultiPSD_A_* % - `MultiPSD_B_* @@ -12,16 +12,16 @@ %% Load Data % Load two channels of time series data -load('dat/ch_dat_one.mat'); -load('dat/ch_dat_two.mat'); +load('data/ch_dat_one.mat'); +load('data/ch_dat_two.mat'); % Combine into a multi-channel data matrix -chs_dat = [ch_dat_one; ch_dat_two]'; +chs_data = [ch_dat_one; ch_dat_two]'; %% Calculate Power Spectra % Calculate power spectra with Welch's method -[psds, freqs] = pwelch(chs_dat, 500, [], [], s_rate); +[psds, freqs] = pwelch(chs_data, 500, [], [], s_rate); %% Save Out Data diff --git a/MultiPSD_B_python_fooofing.ipynb b/MultiPSD_B_python_fooofing.ipynb index ab7db60..d377d43 100644 --- a/MultiPSD_B_python_fooofing.ipynb +++ b/MultiPSD_B_python_fooofing.ipynb @@ -37,11 +37,11 @@ "outputs": [], "source": [ "# Load the mat file \n", - "dat = loadmat('power_spectra.mat')\n", + "data = loadmat('power_spectra.mat')\n", "\n", - "# Unpack data from dictionary, and squeeze into numpy arrays\n", - "freqs = np.squeeze(dat['freqs']).astype('float')\n", - "psds = np.squeeze(dat['psds']).astype('float')\n", + "# Unpack data from dictionary, and squeeze numpy arrays\n", + "freqs = np.squeeze(data['freqs']).astype('float')\n", + "psds = np.squeeze(data['psds']).astype('float')\n", "# ^Note: this also explicitly enforces type as float (type casts to float64, instead of float32)\n", "# This is not strictly necessary for fitting, but is for saving out as json from FOOOF, if you want to do that\n", "\n", @@ -55,7 +55,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Initialize FOOOF object\n", + "# Initialize FOOOFGroup object\n", "fg = FOOOFGroup()" ] }, @@ -71,7 +71,7 @@ "Running FOOOFGroup across 2 power spectra.\n", "\n", "FOOOF WARNING: Lower-bound peak width limit is < or ~= the frequency resolution: 0.98 <= 0.50\n", - "\tLower bounds below frequency-resolution have no effect (effective lower bound is freq-res)\n", + "\tLower bounds below frequency-resolution have no effect (effective lower bound is the frequency resolution).\n", "\tToo low a limit may lead to overfitting noise as small bandwidth peaks.\n", "\tWe recommend a lower bound of approximately 2x the frequency resolution.\n", "\n", @@ -81,28 +81,28 @@ " \n", " Number of power spectra in the Group: 2 \n", " \n", - " The model was run on the frequency range 1 - 50 Hz \n", + " The model was run on the frequency range 1 - 30 Hz \n", " Frequency Resolution is 0.98 Hz \n", " \n", " Power spectra were fit without a knee. \n", " \n", - " Background Slope Values \n", - " Min: 1.8607, Max: 2.2425, Mean: 2.0516 \n", + " Aperiodic Fit Values: \n", + " Exponents - Min: 1.637, Max: 1.769, Mean: 1.703 \n", " \n", - " In total 8 peaks were extracted from the group \n", + " In total 5 peaks were extracted from the group \n", " \n", " Goodness of fit metrics: \n", - " R2s - Min: 0.9923, Max: 0.9938, Mean: 0.9931 \n", - " Errors - Min: 0.0563, Max: 0.0637, Mean: 0.0600 \n", + " R2s - Min: 0.979, Max: 0.988, Mean: 0.984 \n", + " Errors - Min: 0.066, Max: 0.078, Mean: 0.072 \n", " \n", "==================================================================================================\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { @@ -113,7 +113,7 @@ ], "source": [ "# Fit the FOOOF model on all PSDs, and report\n", - "fg.report(freqs, psds, [1, 50])" + "fg.report(freqs, psds, [1, 30])" ] }, { @@ -123,8 +123,8 @@ "outputs": [], "source": [ "# Save out a specific FOOOF measure of interest - for example, slopes\n", - "sls = fg.get_all_data('background_params', 'slope')\n", - "savemat('slopes', {'slopes' : sls})" + "exps = fg.get_params('aperiodic_params', 'exponent')\n", + "savemat('exps.mat', {'exps' : exps})" ] }, { @@ -147,7 +147,7 @@ "# Alternatively: save out full FOOOFresults for each PSD fit separately to mat files\n", "# This might be useful if you are using Matlab < r2016B, and don't have json support\n", "for ind, f_res in enumerate(fg):\n", - " savemat('f_res_' + str(ind), f_res._asdict())" + " savemat('f_results_' + str(ind) + '.mat', f_res._asdict())" ] } ], @@ -167,7 +167,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.1" + "version": "3.7.4" } }, "nbformat": 4, diff --git a/MultiPSD_C_matlab_analysis.m b/MultiPSD_C_matlab_analysis.m index 43fd900..de8cc01 100644 --- a/MultiPSD_C_matlab_analysis.m +++ b/MultiPSD_C_matlab_analysis.m @@ -1,8 +1,8 @@ %% Load and Analyze FOOOF Results in Matlab - Multiple PSDs -% +% % This script is an example, with multiple power spectra, -% of integrating Python FOOOF into a Matlab workflow. -% +% of integrating Python FOOOF into a Matlab workflow. +% % It is part of a trio of files that must be run in order: % - `MultiPSD_A_* % - `MultiPSD_B_* @@ -13,11 +13,11 @@ %% Load a specific variable that was saved out to a mat file -% Load slopes -sls = load('slopes'); +% Load exponents +exps = load('exps.mat'); -% Check out slopes -sls +% Check out the exponents +exps %% Load in FOOOF results that have been saved out - from json file @@ -34,7 +34,7 @@ fooof_results = []; for ind = 0:1 - cur_result = load(strcat('f_res_', string(ind))); + cur_result = load(strcat('f_results_', string(ind))); fooof_results = [fooof_results, cur_result]; end diff --git a/README.md b/README.md index 85d6788..796dd71 100644 --- a/README.md +++ b/README.md @@ -1,28 +1,34 @@ # FOOOF: Matlab -> Python -> Matlab -This repository offers support and examples for how to integrate [FOOOF](https://github.com/fooof-tools/fooof) into a Matlab workflow. +Using an integrated workflow in which using Matlab is combined with running FOOOF directly in Python. -Note that this workflow does use Python directly. Alternatively there is a full [Matlab wrapper](https://github.com/fooof-tools/fooof_mat). The benefit of this approach, over using the [wrapper](https://github.com/fooof-tools/fooof_mat), is that you have full access to the FOOOF module in Python, which makes it easier to use utilities to plot outputs and see what's happening. This approach +## Overview -All [descriptions](https://github.com/fooof-tools/fooof/README.md) and [tutorials](https://github.com/fooof-tools/fooof/tutorial) for FOOOF are in the [main repository](https://github.com/fooof-tools/fooof), and a full description of the method is available in the [paper](https://www.biorxiv.org/content/early/2018/04/11/299859). +This repository offers examples for how to integrate [FOOOF](https://github.com/fooof-tools/fooof) into a Matlab workflow. -## Overview +This approach does use Python directly, and seeks to demonstrate how to use a primarily Matlab based approach, using Python only as needed for fitting power spectrum models. The idea is that one can do all of the processing and analysis in Matlab, up to and including calculating power spectra. These power spectra can then be saved out. These files can then be loaded into Python, and FOOOF can be used to fit power spectrum, and do any model related processing needed using the FOOOF module. The model results can also be saved out, and loaded back into Matlab. + +The benefit of this approach, is that you have full access to the FOOOF module in Python. -This repository includes example code for a potential workflow whereby most stuff is done in Matlab, only using Python for FOOOF fitting specifically. This approach does require that you have Python and FOOOF installed. You can follow the direction to do so from [here](https://github.com/fooof-tools/fooof_mat). +Alternatively there is a [Matlab wrapper](https://github.com/fooof-tools/fooof_mat), which you can use to call FOOOF directly from Matlab, without having to interact directly with Python. -The idea is that one can do all of the processing and analysis in Matlab, up to and including calculating power spectra. Power spectra are then saved out to mat files, and loaded into Python. You can the run and explore using FOOOF, in Python, fitting models, and then save out the model fit results, which can be loaded back into Matlab, if you prefer. +This approach does require that you have Python and FOOOF installed. You can follow the directions to do so from [here](https://github.com/fooof-tools/fooof_mat). + +Note that the main documentation for the FOOOF module itself is on the [documentation site](https://fooof-tools.github.io/fooof/). ## Workflow -An example / template workflow for using this approach, including matlab and python scripts, is available here. This workflow is for using FOOOF in a Matlab pipeline, in which you process and analyze the data mostly in Matlab, but do the FOOOF fitting directly in Python. With this template, you should be able get working with this workflow without having to write almost any Python code. +Some examples for using this approach, including Matlab and Python scripts, are available here. + +With this template, you should be able get running without having to write almost any Python code. This suggested workflow is to: -- A) Pre-process all data in Matlab, up to the point of creating and saving out power spectra +- A) Pre-process data in Matlab, including creating and saving out power spectra - B) Switch to Python, load these power spectra, explore and fit FOOOF models, then save out FOOOF results -- C) Continue analysis of the FOOOF results in Matlab +- C) Continue analysis of FOOOF results in Matlab In this folder you will find two examples of this workflow, one showing the outline with a single PSD, and another showing how you can update this workflow to analyze multiple power spectra. -You can also use these files as templates - just download this folder, and update the files as you need to to use your data. +You can also use these files as templates - just download this folder, and update the files as needed to use your own data. -Note that as outlined the Python parts are done in notebooks, which allows for easy access to the plotting and exploration tools in FOOOF. When you have settled on parameters and so on, you can instead run this part as a Python script. +Note that as outlined the Python parts are done using [Jupyter notebooks](https://jupyter.org/), which allow for interactive coding and integrated plotting, etc. Once you have checked the fitting, and settled on parameters and so on, you can instead run this part as a Python script. diff --git a/dat/ch_dat_one.mat b/data/ch_dat_one.mat similarity index 100% rename from dat/ch_dat_one.mat rename to data/ch_dat_one.mat diff --git a/dat/ch_dat_two.mat b/data/ch_dat_two.mat similarity index 100% rename from dat/ch_dat_two.mat rename to data/ch_dat_two.mat diff --git a/utils/load_fooof_results.m b/utils/load_fooof_results.m index 2abb360..446c59c 100644 --- a/utils/load_fooof_results.m +++ b/utils/load_fooof_results.m @@ -1,4 +1,4 @@ -% load_fooof_results () - load results from a json file (as saved out by FOOOF) +% load_fooof_results () - Load results from a json file, as saved out by FOOOF. % % Usage: % >> fooof_results = load_fooof_results(file_name) @@ -8,7 +8,7 @@ % % Ouputs: % fooof_results = fooof model ouputs, in a struct, including: -% fooof_results.background_params +% fooof_results.aperiodic_params % fooof_results.peak_params % fooof_results.gaussian_params % fooof_results.error