Neural interfaces and biomedical electronics
We develop technologies for non-invasive neural interfacing, with emphasis on high-density surface EMG, wearable electrophysiology, and scalable sensing systems.
Research
Research themes
NEIT Lab works across neural interfaces, biomedical electronics, signal processing, decoding, and translational neurotechnology to develop robust systems for interacting with the human nervous system.
Signal processing and neural decoding
We develop computational methods for extracting information from neural and neuromuscular signals, including motor unit decomposition, intention decoding, and real-time neural control.
Translational neurotechnology
We translate neural interface methods into human studies and application-focused systems for rehabilitation, prosthetics, tremor monitoring, assistive devices, and human-machine interaction.
Wearable neural interfaces
A central goal of NEIT Lab is to develop wearable neural interfaces that can move neural recording and decoding outside constrained laboratory settings. This includes compact sensing platforms, high-density electrophysiology, wireless systems, and algorithms suitable for real-time operation.
These systems aim to provide reliable access to neuromuscular activity for natural human-machine interaction, rehabilitation technologies, and assistive control.
Motor neuron and movement decoding
The lab investigates how information about human movement can be decoded from non-invasive neural and neuromuscular recordings. This includes extracting motor unit activity, estimating motor intent, and developing computational models that link neural activity to behavior.
The long-term aim is to enable more interpretable and adaptive control interfaces for both clinical and non-clinical applications.
Biomedical electronics and embedded systems
Neural interfaces require careful integration of sensing hardware, analog front-ends, embedded electronics, data acquisition, synchronization, and safety-aware design. NEIT Lab develops and evaluates systems that support robust biosignal acquisition and real-time processing.
Applications
- Upper-limb prosthetic control and human-machine interfacing
- Stroke and motor rehabilitation technologies
- Tremor and movement disorder monitoring
- Wearable interaction and human motor augmentation
- Biomarkers based on neural and neuromuscular activity
Interested in these themes?
NEIT Lab welcomes students and collaborators interested in neural interfaces, signal processing, biomedical electronics, and translational neurotechnology.