Intelligent Biomedical Sensing
Biomedical Engineering & Multimodal Data Analysis for Wearable Neurotechnology
The Intelligent Biomedical Sensing (IBS) group, led by Dr. Alexander von Lühmann concentrates on Machine Learning and Instruments for Comprehensive Brain-Body Monitoring. The IBS lab develops miniaturized wearable neurotechnology and body-worn sensors for unobtrusive monitoring of the embodied brain in the everyday world.
It uses machine learning on the multimodal sensor data, together with environmental context information, to contribute to a paradigm shift in individualized Comprehensive understanding of physical and mental health: Toward intelligent assessment and treatment of physical and mental states and risk factors. The expertise of the group encompasses
- Biomedical Electrical Engineering: Development of novel wearable sensing technology for brain and body that is non-invasive/non-hazardous, unobtrusive, multimodal and robust. Current focus in instrumentation development: functional Near Infrared Spectroscopy (fNIRS), diffuse optical tomography (DOT) and Oximetry, Electroencephalography (EEG), Electro -myo-, -oculo-, -cardiograpy (ExG).
- Machine Learning: Exploration of innovative methods for the extraction of biomarkers from complex multivariate bio signals derived from diffuse optics and electrophysiology. Physiological modelling, latent component analysis, and physiological transfer functions considering non-stationary and non-instantaneous relationships, context sensitivity, and automatic data annotation.
Accuracy of tissue oxygen saturation measurement with multidistance CW fNIRS: a phantom study
Observability of Visual Working Memory Brain Circuitry With Functional Near-Infrared Spectroscopy
Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.
Photo recap: BIFOLD New Year's reception
At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.
New open research positions
Join BIFOLD and collaborate with renowned experts on cutting-edge Machine Learning and Data Management research! Develop robust, trustworthy, and sustainable AI solutions with our team of international scientists.
Photo recap: All Hands Meeting 2023
On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany.
Research Group Lead
Postdoctoral Researcher
Doctoral Researcher