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Abstract
Brain machine interfaces, or brain computer interfaces, are attracting ever increasing research interests for their promising application prospects. A number of methods and devices were proposed on this topic, but all have inherent limits particularly concerning spatial density and signal resolution. An optical-electrode is hereby proposed to overcome these limitations by transducing the electrical signal into an optical signal using liquid crystal cells. In addition, photovoltaic stimulation capabilities were added to form an integrated bidirectional interface. A recording subsystem and a stimulating subsystem were proposed for driving the sensing and stimulation parts respectively, and their benchtop characterisations were carried out. Noise performances in the recording subsystem were analysed and optimised.
To provide initial validation, animal studies were conducted on rabbit sciatic nerves (in vivo and ex vivo) and on cardiac tissues (ex vivo). The recorded signals and stimulated responses were compared with those made by commonly used traditional electrical systems under the same experimental conditions. Compound action potentials, although showing differences on delays and morphology over traditional methods, were successfully recorded and evoked. The charge balance ability was also demonstrated in the experiments. Finally, a 'zero mode' photodetector is introduced, which is specifically suitable for the recording subsystem and can potentially improve the noise performance. The works in this thesis will contribute to the next iteration of the technology, i.e. help the creation of high density arrays in the form of integrated chips.
