BioEmbed Systems Lab is an independent research laboratory advancing myoelectric control, sensory stimulation, and neuromorphic computing for assistive and rehabilitation technologies.
Explore our research →Our work sits at the intersection of biological signals, embedded intelligence, and human-centred engineering — building systems that sense, learn, and respond in real time.
Decoding surface EMG and HD-sEMG signals to enable intuitive, dexterous control of upper-limb prostheses using pattern recognition and deep learning approaches.
Designing closed-loop electrotactile and vibrotactile feedback systems that restore the sense of touch in prosthetic users, improving embodiment and functional performance.
Applying neuromorphic and spiking neural network architectures to biosignal processing — enabling energy-efficient, real-time decoding that mirrors the brain's own temporal coding.
Developing flexible electronic skin platforms with multimodal sensing capabilities — pressure, texture, and temperature — for prosthetics, robotics, and wearable health monitoring.
Creating intelligent, adaptive rehabilitation systems that respond to user physiology — combining gamification, real-time biofeedback, and machine learning to improve outcomes.
BioEmbed Systems Lab is an independent research laboratory based in London, UK. We conduct fundamental and applied research at the boundary of biomedical engineering, neural signal processing, and assistive technology.
Our work is driven by a single conviction: that the gap between biological systems and engineered devices can be closed — not by replacing biology, but by learning from it. We embed biological principles into the design of intelligent systems for people.
We collaborate with academic institutions, clinical partners, and industry to translate research into real-world impact for people living with limb difference and motor impairments.
Selected publications from the lab and its affiliated researchers. Full publication list available on request.
We welcome enquiries from prospective collaborators, researchers, clinicians, and industry partners interested in our work.
Whether you are interested in research collaboration, licensing our technology, or simply learning more about what we do — we would love to hear from you.