Biomedical electronics
We develop sensing and interface technologies for non-invasive electrophysiology, with emphasis on high-density surface EMG, wearable systems, and scalable neural recording platforms.
NEIT Lab develops neural interface technologies and computational methods for sensing, decoding, modulation, and closed-loop interaction with the human nervous system.
NEIT Lab — Neural Engineering and Interface Technologies — focuses on engineering non-invasive neural interfaces that can provide robust access to human neural and neuromuscular activity. The lab combines biomedical signal processing, sensing hardware, machine learning, and translational system design.
Our goal is to develop neural interface technologies that move beyond proof-of-concept demonstrations toward reliable, wearable, and deployable systems for human-machine interaction, rehabilitation, assistive technologies, and consumer-facing wearable applications.
NEIT Lab is based at the Technical University of Denmark (DTU), within the Department of Engineering Technology.
We develop sensing and interface technologies for non-invasive electrophysiology, with emphasis on high-density surface EMG, wearable systems, and scalable neural recording platforms.
We design algorithms for extracting interpretable information from neural and behavioral data streams, including motor unit decomposition, intention decoding, and real-time closed-loop processing.
We connect foundational methods with human studies and real-world applications in prosthetics, rehabilitation, tremor monitoring, wearable interaction, and assistive technologies.
We welcome contact from students, researchers, clinicians, engineers, and collaborators interested in neural interfaces, biomedical signal processing, wearable systems, and translational neurotechnology.