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Intelligent Biomedical Sensing (IBS) Lab: Machine learning and instruments for comprehensive brain-body monitoring.
The Intelligent Biomedical Sensing Lab is an Independent Research Group at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) / Machine Learning Department, TU Berlin. The group is headed by Dr. Alexander von Lühmann. The Machine Learning Department of TU Berlin is chaired by Prof. Klaus-Robert Müller, who is also the director of BIFOLD-ML.
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 monitoring of physical and mental states and early assessment of risk factors. Our expertise:
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).
Exploration of innovative methods for the extraction of multivariate biomarkers from complex bio signals derived from diffuse optics and electrophysiology. Physiological modeling and physiological transfer functions considering non-stationary and non-instantaneous relationships, context sensitivity, and automatic data annotation.
If you like to learn more about the institutions behind the IBS Lab please visit…
… the websites of Technische Universität (TU) Berlin, the Machine Learning Department, and Klaus-Robert Müller:
… the website of the Berlin Institute for the Foundations of Learning and Data (BIFOLD):