Project 467221

The biomedical field has seen an increased use of miniature power-efficient chips as neural prostheses. These chips are implanted in the brain to help treat neurological diseases such as epilepsy and Parkinsons disease. While effective solutions exist today, there is opportunity for improvement in functionality by increasing the accuracy of neural recordings in the technology leading to better treatment of patient symptoms. To achieve this, this study will focus on suppression of unwanted electrical artifacts generated by the stimulation circuitry in chips that add noise to the recording circuitry. There are many methods available today to achieve this suppression, both at the front end of the recording circuit and afterwards through digital signal processing. It is understood that combining both flavours of suppression leads to higher output accuracy than either one alone, but the optimal combination of available methods has not yet been investigated. The tests conducted in this study would help identify an optimal combination of artifact suppression methods leading to improved patient outcome today as well as help focus future research efforts to accelerate future advancement of the technology.