Updated cardiovascular prevention guideline of the Brazilian Society of Cardiology: 2019

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Short startup, batteryless, self‐starting thermal energy harvesting chip working in full clock cycle

The Internet of Things paradigm considers the deployment in the environment of a profusion of heterogeneous sensor nodes, connected in a complex network, and autonomously powered. Energy harvesting is the common proposed solution to supply such sensors, and many different sources such as light, mechanical vibrations, temperature differences can be considered individually or in combination. Specifically, a thermoelectric generator (TEG), taking advantage of the Seebeck effect, is able to harvest electrical power from a temperature gradient of a few degrees. This study presents a chip fabricated in 130 nm CMOS technology, designed to convert a typical 50 mV output from a TEG into 1 V. The batteryless design utilises both halves of a 50% duty cycle clock. Measurements have been performed by using a TEG, and an equivalent TEG model, i.e. voltage source (50 mV–200 mV) with a series resistance of 5 Ω. The result shows that the proposed prototype can extract 60% (at 50 mV) to 65% (at 200 mV) of the total available power. The energy harvester can self‐start at 50 mV with a 2.8 ms startup time, which is a significant improvement over the past work

A compact model of MOSFET mismatch for circuit design

This paper presents a compact model for MOS transistor mismatch. The mismatch model uses the carrier number fluctuation theory to account for the effects of local doping fluctuations along with an accurate and compact dc MOSFET model. The resulting matching model is valid for any operation condition, from weak to strong inversion, from the linear to the saturation region, and allows the assessment of mismatch from process and geometric parameters. Experimental results from a set of transistors integrated on a 0.35 m technology confirm the accuracy of our mismatch model under various bias conditions