Artificial TMAP Signal Generator Based on One-Bit Sigma Delta Modulator for MEC Test

The current study proposes three electrode-channels with time delay of artificial nerve signals generator utilized only a active low pass filter and Field Programmable Gate Array (FPGA). XC3S100E FPGA board adopted to design novel real-time transmembrane action potential (TMAP). implementation one bit Sigma Delta Modulation (SDM) method linearized technique could be very expensive complicated products other technologies option currently available such as microcontroller due the fabrication requirements. This employ in many biomedical applications testing efficiently, especially, evaluating multi-electrode cuff system without requiring use real nerves spike from animal models saving effort, cost. Moreover, this approach is for further improvement signal performances resolution, accuracy, differential linearity monotonic DAC, settling waveform extra hardware or cost required. In addition, included channels white Gaussian noise uncorrelated each TMAP simulate environment, which surrounds electrode experimental cases. A adjustment level added using sets taps are employed provide sources. Xilinx ISE platform Mentor Graphics ModelSim tool used implement this, results produced compared. power consumption conventional technology 31 mW, significantly higher than consumed (21mW) modern technology. Furthermore, compared usual way, proposed solution conserved around 10% resources. offers reuse where time, amplitude voltage signals, multichannel needed. adjustable signal, level, conduction velocity easily adequate different tests.