The design of Siwa 1 , a compact low power custom system on chip (SoC), targeted for implantable/wearable applications, is reported in this paper. Siwa is based on a RISC-V RV32I architecture. It has a centrally controlled non-pipelined structure, and it includes a control interface for an integrated sensing and stimulation device for biological tissues as well as standard communication interfaces. Siwa was developed from scratch using System Verilog, and implemented in a 180nm CMOS technology; Siwa includes a latch based register file c apable to read and write in one clock cycle with an area 30% smaller and a power consumption 25% lower with respect to an equivalent flip flop implementation; also, it has an estimated average power consumption of 70μW (48pJ/cycle) which is comparable to other micro-controllers commonly used in IMD applications.
Results of the VLSI implementation of an acoustic classification system's identification stage, intended for the detection of gunshots and chainsaws in a protected tropical area, are shown, with the idea of later building a surveillance wireless sensor network with similar nodes. The system performs from signal preprocessing to feature extraction, with results of the HDL description of the system tested on a FPGA against a golden reference, using real data taken from a protected rain forest area. Final classification of signals, using HMM, is in the final stages of testing. Some post-place-and-route results of the code ported to a commercial 130nm CMOS technology are also given.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.