基于归一化模板匹配算法的动作电位检测ICOACSTPCD

In allusion to the problem of low signal-to-noise ratio of the original signal caused by factors such as electrode impedance,application environment,system power consumption,and system area in the front-end acquisition IC of multi-channel neuron action potential(AP)signal acquisition hardware system,a normalized template matching algorithm based AP signal detection IC is designed.Based on template matching algorithm,signal normalization is introduced to detection IC to remove redundant information This detection IC utilizes a template matching algorithm and introduces signal regularization to remove redundant information.To ensure real-time performance and reduced power consumption,a three-stage pipeline structure is adopted at the chip,clock gating is inserted between modules,and its operational status can be updated via an SPI bus.Fabricated under the SMIC 180 nm digital process,the die area of the IC is 0.98 mm²,with a power consumption of 701 µW during template configuration and 8.07 mW when fully operational,and it is packaged in a QFN48 format.Testing results indicate that the IC demonstrates good noise resistance,even under a-10 dB signal-to-noise ratio environment,achieving an F1-Score of 94.65%in evaluating the model composite performance.