IBS-Lab
@ibs_bifold
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Intelligent Biomedical Sensing Lab at @BIFOLDBerlin | @TUBerlin, headed by @avolu_neurotech. Machine Learning & Wearable Neurotechnology & Brain-Body Monitoring
Berlin
Joined November 2022
Special thanks to our Bilal Siddique and BU's Bernhard Zimmermann and Sreekanth Kura.
💡next-gen #ninjaNIRS2024 is out: open-source HD #fNIRS for wearable whole-head #DOT neuroimaging, 100% open-source. 🧠 Smaller form factor.🔌 Up to 56 sources, 144 detectors.📡 Untethered.🛠️ Up to 8 IMUs.🔗 All resources on By @BU_NPC & @ibs_bifold
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Next milestone, just in time for the @OHBM Conference in Brisbane, Australia. Huge thanks to all contributors not only from our lab, but also the @BU_NPC and Ted Huppert (@HuppertLab)! .Try out our toolbox example notebooks on the cloud via google #collab!.
🚀Cedalion v25.1.0 is out! Open-source #Python toolbox for #fNIRS & #DOT with new support for #parcel-based analysis, #multimodal #ML, #imagerecon, synthetic data #augmentation & more. Docs + Colab + GitHub: 🔧Huge thanks to all contributors!
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RT @avolu_neurotech: 🚀Cedalion v25.1.0 is out! Open-source #Python toolbox for #fNIRS & #DOT with new support for #parcel-based analysis, #….
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Now at the 12th #MindBrainBody Symposium: Shakiba Moradi presents her poster on #fMRI-#DOT domain transfer learning using #ML, Dr. Tomas Codina presents his work on #Multimodal #MachineLearning #methods and realistic ground truth data for unsupervised #EEG-#fNIRS decomposition.
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RT @avolu_neurotech: Today our editorial for the special issue in #frontiers in #neuroergonomics on "Advances in #mobile #opical #brain act….
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RT @gowerlabs: Many thanks to @eikemiddell and the team at @ibs_bifold for the training course on how to use the Cedalion toolbox to analys….
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Pilot study brain-imaging with our new system running, main study in January. If you are in the Berlin area and would like to be a participant, please reach out!.
Today we got a first version of the new generation #wearable whole head #DOT / #fNIRS #brainimager up and running at the @ibs_bifold, wearable #eyetracking included. Together with analysis our pilot and the @ERC_Research Starting Grant can come in 2025!
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If you want to do what we do, check out our #python toolbox CEDALION (!.
Just gave my keynote on recent progress in #fnirs, #dot and #multimodal #MachineLearning for single trial brain decoding in the Everyday World here in #Shanghai. A big thanks to the organizers, the @BciSociety and the @ChenInstitute for the opportunity and the amazing event!
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RT @avolu_neurotech: Next week I will talk at the @BciSociety – @ChenInstitute Joint BCI Meeting in #Shanghai (. To….
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Yesterday @avolu_neurotech and @eikemiddell gave a @NIRx_NIRS webinar on #photogrammetry for fnirs #optode #coregistration using our Cedalion #python toolbox for open source state of the art #fnirs and #dot analysis (. Watch here:.
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Cedalion is available here:
Looking forward to this demo! Cedalion is our #opensource #python toolbox for advanced #fnirs and #dot processing - and the #coregistration feature using #photogrammetry is easy to adapt and use, and works also for other sensors such as #eeg and #oMEG.
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RT @NIRx_NIRS: Join our webinar on photogrammetric fNIRS optode registration with the Cedalion toolbox! Learn from Dr. Alexander von Lühman….
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RT @avolu_neurotech: How much does #fNIRS signal quality depend on factors like hair and skin type, and how does that affect inclusivity?….
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RT @avolu_neurotech: Recommendation to join! We are already frequently using #NIRFASTer in #cedalion and have an example Notebook for #DOT….
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RT @avolu_neurotech: Dear #fnirs #neuroimaging community, please check out our upcoming special issue on fNIRS for Global #Health at @SPIEt….
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RT @avolu_neurotech: A nice lab report about the @ibs_bifold at @bifoldberlin. If you would like to learn more about what our lab is doing,….
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RT @avolu_neurotech: Was great to present our ninjaCap at #fnirs2024 today. You can find more details in the paper here .
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RT @avolu_neurotech: Looking forward to present this feature of #Cedalion, our new python toolbox for multimodal #fNIRS/ #DOT and #MachineL….
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