François Schwartz

  • Citations Per Year
Learn More
In this paper, we aim at developing an analog spiking neural network (SNN) for reinforcing the performance of conventional cardiac resynchronization therapy (CRT) devices (also called biventricular pacemakers). Targeting an alternative analog solution in 0.13-μm CMOS technology, this paper proposes an approach to improve cardiac delay predictions in(More)
The goals of this research are to develop an analog spiking neural network so as to improve the performance of biventricular pacemaker (CRT devices). Implantation in silicon uses the analogical neural network approach that requires the development of a technical solution satisfying the requirement of very low energy consumption. Targeting an alternative(More)
In order to solve two major bottlenecks of the analog design flow: the time-to-market and the production yield, we introduce in this paper a design tool for measuring the robustness capability of the analog circuit topologies with the guarantee of fulfilling all the design specifications. With this measure, we can describe the feasible subspace by using the(More)
  • 1