diff --git a/.gitignore b/.gitignore index c7657cd..ade9dbe 100644 --- a/.gitignore +++ b/.gitignore @@ -167,6 +167,7 @@ src/cedalion/_version.py # rendered example notebooks docs/examples/*.ipynb +docs/examples/*/*.ipynb # API documentation from sphinx-apidoc docs/api/* diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 0000000..a3af178 --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,9 @@ +cff-version: 1.2.0 +message: "If you use this software, please cite it as below." +authors: +- family-names: "Intelligent Biomedical Sensing (IBS) Lab" +- family-names: "Cedalion Developers" +title: "Cedalion Python Toolbox" +version: 1.0.0 +date-released: 2024-09-08 +url: "https://github.com/ibs-lab/cedalion" \ No newline at end of file diff --git a/README.md b/README.md index 812b8f5..ffb29c5 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ well as several [example notebooks](https://doc.ibs.tu-berlin.de/cedalion/doc/de that illustrate the functionality of the toolbox. For discussions and help you can visit the [cedalion forum on openfnirs.org](https://openfnirs.org/community/cedalion/) + ## Development environment To create a conda environment with the necessary dependencies run: @@ -51,3 +52,7 @@ and then build the environment with the --solver=libmamba ``` $ conda env create -n cedalion -f environment_dev.yml --solver=libmamba ``` + +## How to cite Cedalion +A paper for the toolbox is currently in the making. If you use this toolbox for a publication in the meantime, please cite us using GitHub's "Cite this repository" feature in the "About" section. If you want to contact us or learn more about the IBS-Lab please go to https://www.ibs-lab.com/ + diff --git a/docs/_static/IBS_Logo_sm.png b/docs/_static/IBS_Logo_sm.png new file mode 100644 index 0000000..b6e00db Binary files /dev/null and b/docs/_static/IBS_Logo_sm.png differ diff --git a/docs/community/contributing_code.md b/docs/community/contributing_code.md index a450109..723bc81 100644 --- a/docs/community/contributing_code.md +++ b/docs/community/contributing_code.md @@ -4,6 +4,4 @@ This section is WIP. Here you will find information on how to interface your own developments with cedalion to facilitate contributing it to the toolbox to make it available to the broader community. In the meantime, you can find a small introduction to how to contribute code to cedalion below: -```{toctree} -contributing_code/contributing_code.md -``` +[Getting Started with Contributing Code](https://doc.ibs.tu-berlin.de/cedalion/doc/dev/getting_started/contributing_code/contributing_code.html) \ No newline at end of file diff --git a/docs/community/contributors.md b/docs/community/contributors.md index 7ede97f..f19ffdc 100644 --- a/docs/community/contributors.md +++ b/docs/community/contributors.md @@ -2,7 +2,7 @@ This section is WIP. You will find more information and detailed stats here soon. -Cedalion is an open source project driven by the [IBS-Lab](https://ibs-lab.com/) with the aim to encourage continuous use, contribution and improvement from the whole community to make it last. Therefore, code credit is important to us. +Cedalion is an open source project driven by the [IBS-Lab](https://ibs-lab.com/) with the aim to encourage continuous use, contribution and improvement from the whole community to make it last. Therefore, it is important to us establish a transparent system of crediting contributors. ## Code Credit diff --git a/docs/community/toolboxes.md b/docs/community/toolboxes.md index 8d511ff..57d1f4f 100644 --- a/docs/community/toolboxes.md +++ b/docs/community/toolboxes.md @@ -6,11 +6,11 @@ This section is WIP. A part of the core set of Cedalion's scientific fNIRS processing functionality is based on the matlab toolboxes [Homer2/3](https://github.com/BUNPC/Homer3) and [AtlasViewer](https://github.com/BUNPC/AtlasViewer) from which we have adopted methods into the python ecosystem. -## Current toolboxes cedalion interfaces with: +## Current toolboxes cedalion interfaces with - [Monte Carlo Xtreme](http://mcx.space/), for Monte-Carlo-based photon simulation - [NIRFASTer](https://github.com/nirfaster/NIRFASTer), for FEM-based photon simulation -## Planned future toolboxes: +## Planned future toolboxes - [MNE](https://mne.tools/stable/index.html), for state of the art EEG/MEG processing functionality - [NeuroKit](https://github.com/neuropsychology/NeuroKit), for Neurophysiological Signal Processing - [...?](https://openfnirs.org/software/) \ No newline at end of file diff --git a/docs/conf.py b/docs/conf.py index aa334b5..a31c5c4 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -69,3 +69,8 @@ # -- sphinx_autodoc_typehints ------------------------------------------------- always_use_bars_union = True + +# -- Nbsphinx gallery ---------------------------------------------------------------- +nbsphinx_thumbnails = { + 'examples/*/*': '_static/IBS_Logo_sm.png', +} \ No newline at end of file diff --git a/docs/examples.rst b/docs/examples.rst new file mode 100644 index 0000000..c895597 --- /dev/null +++ b/docs/examples.rst @@ -0,0 +1,62 @@ +Examples +======== + +.. contents:: + :local: + +Getting Started and IO +---------------------- + +.. nbgallery:: + :glob: + + examples/getting_started_io/* + +Signal Quality +----------------------- + +.. nbgallery:: + :glob: + + examples/signal_quality/* + +Modeling +----------------------- + +.. nbgallery:: + :glob: + + examples/modeling/* + +Head Models and Image Reconstruction +------------------------------------- + +.. nbgallery:: + :glob: + + examples/head_models/* + +Machine Learning and Data Driven Methods +---------------------------------------- + +.. nbgallery:: + :glob: + + examples/machine_learning/* + +Data Augmentation +----------------------- + +.. nbgallery:: + :caption: Coming soon + :glob: + + examples/data_augmentation/* + +Plots & Visualization +----------------------- + +.. nbgallery:: + :glob: + + examples/plots_visualization/* diff --git a/docs/examples/Makefile b/docs/examples/Makefile index 641332f..37e4f29 100644 --- a/docs/examples/Makefile +++ b/docs/examples/Makefile @@ -1,24 +1,25 @@ -EXAMPLE_NOTEBOOKS = xarray_datastructs_fnirs.ipynb \ - finger_tapping_lda_classification.ipynb \ - scalp_coupling_index.ipynb \ - 1010_system.ipynb \ - image_reconstruction.ipynb \ - store_hrfs_in_snirf_file.ipynb \ - recording.ipynb \ - glm_basis_functions.ipynb \ - glm_illustrative_example.ipynb \ - glm_fingertapping_example.ipynb - - #photogrammetric_optode_coregistration.ipynb \ - #pruning_and_motion_artifacts.ipynb \ +EXAMPLE_NOTEBOOKS = getting_started_io/00_test_installation.ipynb \ + getting_started_io/10_xarray_datastructs_fnirs.ipynb \ + getting_started_io/11_recording_container.ipynb \ + getting_started_io/13_data_structures_intro.ipynb \ + getting_started_io/34_store_hrfs_in_snirf_file.ipynb \ + plots_visualization/12_plots_example.ipynb \ + machine_learning/50_finger_tapping_lda_classification.ipynb \ + modeling/31_glm_basis_functions.ipynb \ + modeling/32_glm_fingertapping_example.ipynb \ + modeling/33_glm_illustrative_example.ipynb \ + signal_quality/20_scalp_coupling_index.ipynb \ + signal_quality/21_data_quality_and_pruning.ipynb \ + signal_quality/22_motion_artefacts_and_correction.ipynb \ + head_models/40_image_reconstruction.ipynb \ + head_models/41_photogrammetric_optode_coregistration.ipynb \ + head_models/42_1010_system.ipynb \ + head_models/43_crs_and_headmodel.ipynb .PHONY: notebooks notebooks: $(EXAMPLE_NOTEBOOKS) -$(EXAMPLE_NOTEBOOKS) : %.ipynb : ../../examples/%.ipynb +$(EXAMPLE_NOTEBOOKS): %.ipynb : ../../examples/%.ipynb jupyter nbconvert --ExecutePreprocessor.store_widget_state=True --to notebook \ - --execute --output-dir=. $^ - -clean: - rm -f $(EXAMPLE_NOTEBOOKS) + --execute --output-dir=$(dir $@) $< \ No newline at end of file diff --git a/docs/examples/index.md b/docs/examples/index.md deleted file mode 100644 index 1f71647..0000000 --- a/docs/examples/index.md +++ /dev/null @@ -1,9 +0,0 @@ -# Examples - -This section contains Jupyter notebooks that illustrate functionality of the toolbox. - -```{toctree} -:maxdepth: 2 -:glob: -* -``` diff --git a/docs/img/recording/dataarray_indexing_overview.png b/docs/img/recording/dataarray_indexing_overview.png new file mode 100644 index 0000000..49b516f Binary files /dev/null and b/docs/img/recording/dataarray_indexing_overview.png differ diff --git a/docs/img/recording/ndarray.png b/docs/img/recording/ndarray.png new file mode 100644 index 0000000..d9e2717 Binary files /dev/null and b/docs/img/recording/ndarray.png differ diff --git a/docs/img/recording/rec_container_overview.png b/docs/img/recording/rec_container_overview.png new file mode 100644 index 0000000..d0e89f5 Binary files /dev/null and b/docs/img/recording/rec_container_overview.png differ diff --git a/docs/index.md b/docs/index.md index 9ecff49..1028c51 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,18 +1,17 @@ # Cedalion -![cedalion graphical abstract](/docs/img/cedalion_frontpage.png) +![cedalion graphical abstract](img/cedalion_frontpage.png) A python-based framework for the data driven analysis of multimodal fNIRS and DOT in naturalistic environments. Developed by the Intelligent Biomedical Sensing (IBS) Lab with and for the community. ```{toctree} :maxdepth: 1 :caption: Contents -:titlesonly: rationale.md getting_started/index.md data_structures/index.md -examples/index.md +examples community/index.md API references.rst @@ -21,7 +20,7 @@ LICENSE.md ## Special Thanks We cordially thank our friends and long-term collaborators at the BOAS Lab for their contributions and support in starting this project. -![special thanks](/docs/img/special_thanks.png) +![special thanks](img/special_thanks.png) ## Version This documentation was built from commit {{commit_hash}}. diff --git a/docs/references.bib b/docs/references.bib index 6b9d2ee..e328767 100644 --- a/docs/references.bib +++ b/docs/references.bib @@ -186,3 +186,17 @@ @misc{Luke2021 year = {2021}, url = {https://github.com/rob-luke/BIDS-NIRS-Tapping} } + +@article{Holmes1998, + title={Enhancement of MR Images Using Registration for Signal Averaging}, + author={Holmes, Colin J. and Hoge, Rick and Collins, Louis and Woods, Roger and Toga, Arthur W. and Evans, Alan C.}, + journal={Journal of Computer Assisted Tomography}, + volume={22}, + number={2}, + pages={324--333}, + year={1998}, + month={March}, + publisher={Lippincott Williams \& Wilkins}, + url={https://journals.lww.com/jcat/abstract/1998/03000/enhancement_of_mr_images_using_registration_for.32.aspx}, + doi={10.1097/00004728-199803000-00032} +} \ No newline at end of file diff --git a/examples/data_quality_and_pruning.ipynb b/examples/data_quality_and_pruning.ipynb deleted file mode 100644 index a4dc844..0000000 --- a/examples/data_quality_and_pruning.ipynb +++ /dev/null @@ -1,1991 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Channel Quality Assessment and Pruning\n", - "\n", - "This notebook sketches how to prune bad channels " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import cedalion\n", - "import cedalion.nirs\n", - "import cedalion.sigproc.quality as quality\n", - "import cedalion.xrutils as xrutils\n", - "import cedalion.datasets as datasets\n", - "import xarray as xr\n", - "import matplotlib.pyplot as p\n", - "import cedalion.plots as plots\n", - "from cedalion import units\n", - "import numpy as np\n", - "from matplotlib.colors import LinearSegmentedColormap\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading raw CW-NIRS data from a SNIRF file and converting it to OD and CONC\n", - "\n", - "This notebook uses a finger-tapping dataset in BIDS layout provided by Rob Luke that is automatically fetched. \n", - "You can also find it [here](https://github.com/rob-luke/BIDS-NIRS-Tapping)." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# get example finger tapping dataset\n", - "\n", - "rec = datasets.get_fingertappingDOT()\n", - "rec[\"od\"] = cedalion.nirs.int2od(rec[\"amp\"])\n", - "\n", - "# Plot some data for visual validation\n", - "f,ax = p.subplots(1,1, figsize=(12,4))\n", - "ax.plot( rec[\"amp\"].time, rec[\"amp\"].sel(channel=\"S1D4\", wavelength=\"850\"), \"r-\", label=\"850nm\")\n", - "ax.plot( rec[\"amp\"].time, rec[\"amp\"].sel(channel=\"S1D4\", wavelength=\"760\"), \"r-\", label=\"760nm\")\n", - "p.legend()\n", - "ax.set_xlabel(\"time / s\")\n", - "ax.set_ylabel(\"Signal intensity / a.u.\")\n", - "\n", - "display(rec[\"amp\"])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculating Signal Quality Metrics and applying Masks\n", - "\n", - "To assess channel quality metrics such as SNR, channel distances, average amplitudes, sci, and others, we use small helper functions. \n", - "As input, the quality functions should also expect thresholds for these metrics, so they can feed back both the calculated quality metrics as well as a mask. The masks can then be combined and applied - e.g. to prune channels with low SNR.\n", - "The input and output arguments are based on xarray time series, quality parameters / instructions for thresholding. \n", - "The returned mask is a boolean array in the shape and size of the input time series. It indicates where the threshold for our quality metric was passed (\"True\") and is False otherwise.\n", - "Masks can be combined with other masks, for instance to apply several metrics to assess or prune channels. At any point in time, the mask can be applied using the \"apply_mask()\" function available from cedalion's the xrutils package. \n", - "\n", - "If you are a user who is mainly interested in high-level application, you can skip to the Section \"***Channel Pruning using Quality Metrics and the Pruning Function***\" below. The \"prune_ch()\" function provides a higher abstraction layer to simply prune your data, using the same metrics and functions that are demonstrated below. \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Quality Metrics: SNR" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mask collapsed to channel dimension\n", - "channels that were masked according to the SNR threshold: []\n" - ] - }, - { - "data": { - "text/html": [ - "
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-       "  [0.1705261  0.17133473 0.17316591 ... 0.16186236 0.16202994 0.16063383]]\n",
-       "\n",
-       " [[0.08932346 0.08954745 0.0901911  ... 0.08869942 0.08842191 0.08802665]\n",
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-       "    samples     (time) int64 0 1 2 3 4 5 6 ... 8788 8789 8790 8791 8792 8793\n",
-       "  * channel     (channel) object 'S1D1' 'S1D2' 'S1D4' ... 'S14D31' 'S14D32'\n",
-       "    source      (channel) object 'S1' 'S1' 'S1' 'S1' ... 'S14' 'S14' 'S14' 'S14'\n",
-       "    detector    (channel) object 'D1' 'D2' 'D4' 'D5' ... 'D28' 'D29' 'D31' 'D32'\n",
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-       "Attributes:\n",
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" - ], - "text/plain": [ - "\n", - "\n", - "Coordinates:\n", - " * time (time) float64 0.0 0.2294 0.4588 ... 2.017e+03 2.017e+03\n", - " samples (time) int64 0 1 2 3 4 5 6 ... 8788 8789 8790 8791 8792 8793\n", - " * channel (channel) object 'S1D1' 'S1D2' 'S1D4' ... 'S14D31' 'S14D32'\n", - " source (channel) object 'S1' 'S1' 'S1' 'S1' ... 'S14' 'S14' 'S14' 'S14'\n", - " detector (channel) object 'D1' 'D2' 'D4' 'D5' ... 'D28' 'D29' 'D31' 'D32'\n", - " * wavelength (wavelength) float64 760.0 850.0\n", - "Attributes:\n", - " data_type_group: unprocessed raw" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Here we assess channel quality by SNR\n", - "snr_thresh = 16 # the SNR (std/mean) of a channel. Set high here for demonstration purposes\n", - "\n", - "# SNR thresholding using the \"snr\" function of the quality subpackage\n", - "snr, snr_mask = quality.snr(rec[\"amp\"], snr_thresh)\n", - "\n", - "# apply mask function. In this example, we want all signals with an SNR below the threshold to be replaced with \"nan\". \n", - "# We do not want to collapse / combine any dimension of the mask (last argument: \"none\")\n", - "data_masked_snr_1, masked_elements_1 = xrutils.apply_mask(rec[\"amp\"], snr_mask, \"nan\", \"none\")\n", - "\n", - "# alternatively, we can \"drop\" all channels with an SNR below the threshold. Since the SNR of both wavelength might differ\n", - "# (pass the threshold for one wavelength, but not for the other), we collapse to the \"channel\" dimension.\n", - "data_masked_snr_2, masked_elements_2 = xrutils.apply_mask(rec[\"amp\"], snr_mask, \"drop\", \"channel\")\n", - "\n", - "# show some results\n", - "print(f\"channels that were masked according to the SNR threshold: {masked_elements_2}\")\n", - "\n", - "# dropped:\n", - "data_masked_snr_2" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/lauracarlton/anaconda3/envs/cedalion/lib/python3.10/site-packages/xarray/core/variable.py:309: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.asarray(data)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# we can plot the values per channel in a 2D montage\n", - "wl_idx = 0\n", - "f,ax = p.subplots(1,1, figsize=(8,8))\n", - "plots.scalp_plot(rec, snr.isel(wavelength=wl_idx).values, ax, colormap=p.cm.jet, vmin=0, vmax=50, title='SNR ' + str(rec.wavelengths[wl_idx]))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Quality Metrics: Scalp Coupling Index" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "# Here we can assess the scalp coupling index (SCI) of the channels\n", - "sci_threshold = 0.75\n", - "window_length = 5*units.s\n", - "sci, sci_mask = quality.sci(rec[\"amp\"], window_length, sci_threshold)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/lauracarlton/anaconda3/envs/cedalion/lib/python3.10/site-packages/xarray/core/variable.py:309: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.asarray(data)\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# we can plot a heat map to visualize the SCI across all time windows and channels\n", - "colors = [\"black\", \"#DC3220\", \"#5D3A9B\", \"#0C7BDC\"]\n", - "nodes = [0.0, 0.75, 0.751, 1.0]\n", - "sci_cmap = LinearSegmentedColormap.from_list(\"sci_cmap\", list(zip(nodes,colors)))\n", - "sci_binary_cmap = LinearSegmentedColormap.from_list(\"sci_binary_cmap\", list(zip([0,0.5,0.5,1],[\"#DC3220\",\"#DC3220\",\"#0C7BDC\",\"#0C7BDC\"])))\n", - "\n", - "# plot the heatmap\n", - "f,ax = p.subplots(1,1,figsize=(17,8))\n", - "\n", - "m = ax.pcolormesh(sci.time, np.arange(len(sci.channel)), sci, shading=\"nearest\", cmap=sci_cmap)\n", - "cb = p.colorbar(m, ax=ax)\n", - "cb.set_label(\"SCI\")\n", - "ax.set_xlabel(\"time / s\")\n", - "p.tight_layout()\n", - "ax.yaxis.set_ticks(np.arange(len(sci.channel)))\n", - "ax.yaxis.set_ticklabels(sci.channel.values);\n", - "\n", - "# plot the binary heatmap\n", - "f,ax = p.subplots(1,1,figsize=(17,8))\n", - "\n", - "m = ax.pcolormesh(sci.time, np.arange(len(sci.channel)), sci>0.75, shading=\"nearest\", cmap=sci_binary_cmap)\n", - "cb = p.colorbar(m, ax=ax)\n", - "p.tight_layout()\n", - "ax.yaxis.set_ticks(np.arange(len(sci.channel)))\n", - "ax.yaxis.set_ticklabels(sci.channel.values);\n", - "cb.set_label(\"SCI > 0.75\")\n", - "ax.set_xlabel(\"time / s\");\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Quality Metrics: Peak Spectral Power" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# We can also look at the peak spectral power which takes the peak power of the cross-correlation signal between the cardiac band of the two wavelengths\n", - "psp_threshold = 0.1\n", - "psp, psp_mask = quality.psp(rec[\"amp\"], window_length, psp_threshold)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# We can look at similar heatmaps across time and channels\n", - "# plot the heatmap\n", - "colors = [\"black\", \"#DC3220\", \"#5D3A9B\", \"#0C7BDC\"]\n", - "nodes = [0.0, 0.45, 0.46, 1.0]\n", - "psp_cmap = LinearSegmentedColormap.from_list(\"psp_cmap\", list(zip(nodes,colors)))\n", - "psp_binary_cmap = LinearSegmentedColormap.from_list(\"psp_binary_cmap\", list(zip([0,0.5,0.5,1],[\"#DC3220\",\"#DC3220\",\"#0C7BDC\",\"#0C7BDC\"])))\n", - "\n", - "f,ax = p.subplots(1,1,figsize=(17,8))\n", - "\n", - "m = ax.pcolormesh(psp.time, np.arange(len(psp.channel)), psp, shading=\"nearest\", cmap=psp_cmap)\n", - "cb = p.colorbar(m, ax=ax)\n", - "cb.set_label(\"PSP\")\n", - "ax.set_xlabel(\"time / s\")\n", - "p.tight_layout()\n", - "ax.yaxis.set_ticks(np.arange(len(psp.channel)))\n", - "ax.yaxis.set_ticklabels(psp.channel.values);\n", - "\n", - "# plot the binary heatmap\n", - "f,ax = p.subplots(1,1,figsize=(17,8))\n", - "\n", - "m = ax.pcolormesh(psp.time, np.arange(len(psp.channel)), psp>psp_threshold, shading=\"nearest\", cmap=psp_binary_cmap)\n", - "cb = p.colorbar(m, ax=ax)\n", - "p.tight_layout()\n", - "ax.yaxis.set_ticks(np.arange(len(psp.channel)))\n", - "ax.yaxis.set_ticklabels(psp.channel.values);\n", - "cb.set_label(\"PSP > 0.1\")\n", - "ax.set_xlabel(\"time / s\");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Combining SCI and PSP\n", - "We want both SCI and PSP to be above their respective thresholds for a window to be considered clean. We can then look at the percentage of time both metrics are above the thresholds." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/lauracarlton/anaconda3/envs/cedalion/lib/python3.10/site-packages/xarray/core/variable.py:309: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.asarray(data)\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sci_x_psp_mask = sci_mask & psp_mask\n", - "perc_time_clean = sci_x_psp_mask.sum(dim=\"time\") / len(sci.time)\n", - "\n", - "# plot the percentage of clean time per channel\n", - "f,ax = p.subplots(1,1,figsize=(8,8))\n", - "plots.scalp_plot(rec, perc_time_clean, ax, colormap=p.cm.jet, vmin=0, vmax=1, title='Percentage of clean time')\n", - "\n", - "# we can also plot this as a binary heatmap\n", - "f,ax = p.subplots(1,1,figsize=(17,8))\n", - "\n", - "m = ax.pcolormesh(sci_x_psp_mask.time, np.arange(len(sci_x_psp_mask.channel)), sci_x_psp_mask, shading=\"nearest\", cmap=sci_binary_cmap)\n", - "cb = p.colorbar(m, ax=ax)\n", - "p.tight_layout()\n", - "ax.yaxis.set_ticks(np.arange(len(sci_x_psp_mask.channel)))\n", - "ax.yaxis.set_ticklabels(sci_x_psp_mask.channel.values);\n", - "cb.set_label(\"PSP > 0.1 and SCI > 0.75\")\n", - "ax.set_xlabel(\"time / s\");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Quality Metrics: Channel Distance" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "channel distances are: \n", - "\n", - "Coordinates:\n", - " * channel (channel) object 'S1D1' 'S1D2' 'S1D3' ... 'S8D7' 'S8D8' 'S8D16'\n", - " source (channel) object 'S1' 'S1' 'S1' 'S1' 'S2' ... 'S7' 'S8' 'S8' 'S8'\n", - " detector (channel) object 'D1' 'D2' 'D3' 'D9' ... 'D15' 'D7' 'D8' 'D16'\n", - "mask collapsed to channel dimension\n", - "channels that were masked according to the SD Distance thresholds: ['S1D9' 'S2D10' 'S3D11' 'S4D12' 'S5D13' 'S6D14' 'S7D15' 'S8D16']\n" - ] - }, - { - "data": { - "text/html": [ - "
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<xarray.DataArray (channel: 20, wavelength: 2, time: 23239)>\n",
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-       "  * channel     (channel) object 'S1D1' 'S1D2' 'S1D3' ... 'S7D7' 'S8D7' 'S8D8'\n",
-       "    source      (channel) object 'S1' 'S1' 'S1' 'S2' ... 'S7' 'S7' 'S8' 'S8'\n",
-       "    detector    (channel) object 'D1' 'D2' 'D3' 'D1' ... 'D6' 'D7' 'D7' 'D8'\n",
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" - ], - "text/plain": [ - "\n", - "\n", - "Coordinates:\n", - " * time (time) float64 0.0 0.128 0.256 ... 2.974e+03 2.974e+03 2.974e+03\n", - " samples (time) int64 0 1 2 3 4 5 ... 23233 23234 23235 23236 23237 23238\n", - " * channel (channel) object 'S1D1' 'S1D2' 'S1D3' ... 'S7D7' 'S8D7' 'S8D8'\n", - " source (channel) object 'S1' 'S1' 'S1' 'S2' ... 'S7' 'S7' 'S8' 'S8'\n", - " detector (channel) object 'D1' 'D2' 'D3' 'D1' ... 'D6' 'D7' 'D7' 'D8'\n", - " * wavelength (wavelength) float64 760.0 850.0\n", - "Attributes:\n", - " data_type_group: unprocessed raw" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Here we assess channel distances. We might want to exclude very short or very long channels\n", - "sd_threshs = [1, 4.5]*units.cm # defines the lower and upper bounds for the source-detector separation that we would like to keep\n", - "\n", - "# Source Detector Separation thresholding\n", - "ch_dist, sd_mask = quality.sd_dist(rec[\"amp\"], rec.geo3d, sd_threshs)\n", - "# print the channel distances\n", - "print(f\"channel distances are: {ch_dist}\")\n", - "\n", - "# apply mask function. In this example, we want to \"drop\" all channels that do not fall inside sd_threshs \n", - "# i.e. drop channels shorter than 1cm and longer than 4.5cm. We want to collapse along the \"channel\" dimension.\n", - "data_masked_sd, masked_elements = xrutils.apply_mask(rec[\"amp\"], sd_mask, \"drop\", \"channel\")\n", - "\n", - "# display the resultings\n", - "print(f\"channels that were masked according to the SD Distance thresholds: {masked_elements}\")\n", - "data_masked_sd" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Quality Metrics: Mean Amplitudes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Here we assess average channel amplitudes. We might want to exclude very small or large signals\n", - "amp_threshs = [0.1, 3]*units.volt # define whether a channel's amplitude is within a certain range\n", - "\n", - "# Amplitude thresholding\n", - "mean_amp, amp_mask = quality.mean_amp(rec[\"amp\"], amp_threshs)\n", - "\n", - "# apply mask function. In this example, we want drop all channels that do not fall inside the amplitude thresholds. \n", - "# We collapse to the \"channel\" dimension.\n", - "data_masked_amp, masked_elements = xrutils.apply_mask(rec[\"amp\"], amp_mask, \"drop\", \"channel\")\n", - "\n", - "# display the results\n", - "print(f\"channels that were masked according to the amplitude threshold: {masked_elements}\")\n", - "data_masked_amp\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Channel Pruning using Quality Metrics and the Pruning Function\n", - "\n", - "To prune channels according to quality criteria, we do not have to manually go through the steps above. Instead, we can create quality masks for the metrics that we are interested in and hand them to a dedicated channel pruning function. The prune function expects a list of quality masks alongside a logical operator that defines how these masks should be combined." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# as above we use three metrics and define thresholds accordingly\n", - "snr_thresh = 16 # the SNR (std/mean) of a channel. \n", - "sd_threshs = [1, 4.5]*units.cm # defines the lower and upper bounds for the source-detector separation that we would like to keep\n", - "amp_threshs = [0.1, 3]*units.volt # define whether a channel's amplitude is within a certain range\n", - "\n", - "# then we calculate the masks for each metric: SNR, SD distance and mean amplitude\n", - "_, snr_mask = quality.snr(rec[\"amp\"], snr_thresh)\n", - "_, sd_mask = quality.sd_dist(rec[\"amp\"], rec.geo3d, sd_threshs)\n", - "_, amp_mask = quality.mean_amp(rec[\"amp\"], amp_threshs)\n", - "# you can also include other masks, e.g. the SCI mask\n", - "\n", - "# put all masks in a list\n", - "masks = [snr_mask, sd_mask, amp_mask]\n", - "\n", - "# prune channels using the masks and the operator \"all\", which will keep only channels that pass all three metrics\n", - "amp_pruned, drop_list = quality.prune_ch(rec[\"amp\"], masks, \"all\")\n", - "\n", - "# print list of dropped channels\n", - "print(f\"List of pruned channels: {drop_list}\")\n", - "# display the new data xarray\n", - "amp_pruned" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Timeseries Quality Metric: Global Variance of the Temporal Derivative" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/lauracarlton/anaconda3/envs/cedalion/lib/python3.10/site-packages/xarray/core/variable.py:309: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.asarray(data)\n" - ] - }, - { - "data": { - "text/plain": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# we can plot the timeseries of the GVTD to evaluate motion in the data\n", - "gvtd = quality.gvtd(rec[\"amp\"])\n", - "f, ax = p.subplots(1,1, figsize=(12,4))\n", - "ax.plot(gvtd.time, gvtd)\n", - "ax.set_xlabel(\"time / s\")\n", - "ax.set_title(\"Global Variance of Temporal Derivative\")\n", - "ax.set_xlim(0, 500)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/finger_tapping_full_pipeline.ipynb b/examples/finger_tapping_full_pipeline.ipynb index d3ec521..1e2316f 100644 --- a/examples/finger_tapping_full_pipeline.ipynb +++ b/examples/finger_tapping_full_pipeline.ipynb @@ -35,7 +35,7 @@ "import pickle\n", "\n", "import pyvista as pv\n", - "pv.set_jupyter_backend('client')\n", + "pv.set_jupyter_backend('server')\n", "#pv.set_jupyter_backend('static')\n", "\n", "from IPython.display import Image\n", @@ -142,18 +142,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2c659f7717f94d56b6a0ee3c80da07ce", + "model_id": "30d925509be947c29076fd0271433d38", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Widget(value='