Summary
Sensory feedback from the body is key to enabling fine motor control, natural (low cognitive load) movement and non-visual awareness of the position of your body. Individuals with prosthetic limbs lack this proprioceptive and tactile feedback and as such struggle to learn to control their artificial limbs and are unlikely to achieve high levels of coordination.
My research investigates neural stimulation as a method of providing artificial feedback from a prosthetic limb. Our approach makes use of a peripheral neural implant for stimulation and will focus on providing the user with intuitively understood information. As such the research will look at creating neural signals that mimic those naturally found in the body.
Publications
Conference
Luan S, Williams I, De-Carvalho F, et al., 2017, Standalone headstage for neural recording with real-time spike sorting and data logging, BNA Festival of Neuroscience, The British Neuroscience Association Ltd
Frehlick Z, Williams I, Constandinou TG, 2016, Improving Neural Spike Sorting Performance using Template Enhancement, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, Pages:524-527, ISSN:2163-4025
Luan S, Liu Y, Williams I, et al., 2016, An Event-Driven SoC for Neural Recording, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, Pages:404-407, ISSN:2163-4025
Luan S, Williams I, de Carvalho F, et al., 2016, Next Generation Neural Interfaces for low-power multichannel spike sorting, FENS Forum of Neuroscience, FENS
Williams I, Rapeaux A, Liu Y, et al., 2016, A 32-Ch. Bidirectional Neural/EMG Interface with on-Chip Spike Detection for Sensorimotor Feedback, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, Pages:528-531, ISSN:2163-4025