NeuroBetaMed: A re-configurable wavelet-based event detection circuit for in vitro biological signals

We present a reconfigurable acquisition and wavelet-based detection circuit, NeuroBetaMed, for in vitro biological signals. It is implemented on a configurable digital integrated circuit (FPGA). We consider real-time computing as a hard specification and silicon area as a price to pay. It is designed for noisy signals like those recorded from in vitro cellular preparations, by extracellular electrodes. NeuroBetaMed performs biological signal acquisition, stationary wavelet transform (SWT) and adaptive thresholding to detect action potentials (APs). Initially developed to detect pancreatic islet cells action potentials, this system is also suitable for neural signals.