A 0.20 $\text {mm}^2$ 3 nW Signal Acquisition IC for Miniature Sensor Nodes in 65 nm CMOS
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TLDR
A fully integrated signal acquisition IC for these emerging applications that integrates an amplifier with 32 dB gain and 370 Hz bandwidth that includes positive feedback to enhance input impedance and dc offset compensation and has a single-wire data interface.Abstract:
Miniature $\text{mm}^3$ -sized sensor nodes have a very tight power budget, in particular, when a long operational lifetime is required, which is the case, e.g., for implantable devices or unobtrusive IoT nodes. This paper presents a fully integrated signal acquisition IC for these emerging applications. It integrates an amplifier with 32 dB gain and 370 Hz bandwidth that includes positive feedback to enhance input impedance and dc offset compensation. The IC includes also a 10 bit 1 kS/s SAR ADC as well as a clock generator and voltage and current biasing circuits. The overall system achieves an input noise of $27\;\upmu \text {V}_{{\text{rms}}}$ , consumes 3 nW from a 0.6 V supply, occupies $0.20\;\text {mm}^2$ in 65 nm CMOS, and has a single-wire data interface. The amplifier achieves an noise-efficiency factor (NEF) of 2.1 and the ADC has a figure-of-merit (FoM) of 1.5 fJ/conversion-step. Measurements confirm reliable operation for supplies from 0.50 to 0.70 V and temperatures in the range of 0–85 °C. As an application example, an ECG recording is successfully performed with the system while a $0.69\; \text{mm}^2$ photodiode array provides its power supply in indoor lighting conditions.read more
Citations
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Prolonged energy harvesting for ingestible devices
Phillip Nadeau,Dina El-Damak,Dean L. Glettig,Yong Lin Kong,Stacy Mo,Cody Cleveland,Cody Cleveland,Lucas Booth,Niclas Roxhed,Niclas Roxhed,Robert Langer,Anantha P. Chandrakasan,Giovanni Traverso,Giovanni Traverso +13 more
TL;DR: In this paper, an energy-harvesting galvanic cell for continuous in vivo temperature sensing and wireless communication is presented. But the authors focus on the long-term performance of the power harvesting system.
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References
More filters
Journal ArticleDOI
Analog-to-digital converter survey and analysis
TL;DR: The state-of-the-art of ADCs is surveyed, including experimental converters and commercially available parts, and the distribution of resolution versus sampling rate provides insight into ADC performance limitations.
Journal ArticleDOI
A 10 b, 20 Msample/s, 35 mW pipeline A/D converter
Thomas Byunghak Cho,Paul R. Gray +1 more
TL;DR: This paper describes a 10 b, 20 Msample/s pipeline A/D converter implemented in 1.2 /spl mu/m CMOS technology which achieves a power dissipation of 35 mW at full speed operation.
Proceedings Article
A 10 b, 20 Msample/s, 35 mW pipeline A/D converter
Thomas Byunghak Cho,Paul R. Gray +1 more
TL;DR: In this article, the authors describe a 10 b, 20 µm pipeline A/D converter implemented in 1.2 μm CMOS technology which achieves a power dissipation of 35 mW at full speed operation.
Journal ArticleDOI
A micropower low-noise monolithic instrumentation amplifier for medical purposes
Michiel Steyaert,Willy Sansen +1 more
TL;DR: A CMOS low-power low-noise monolithic instrumentation amplifier is described and it can produce variable gains of 14/20/26/40 dB, which are set by control software.
Journal ArticleDOI
A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip
TL;DR: In this paper, a fully integrated programmable biomedical sensor interface chip dedicated to the processing of various types of biomedical signals is presented. But the chip, optimized for high power efficiency, contains a low noise amplifier, a tunable bandpass filter, a programmable gain stage, and a successive approximation register analog-to-digital converter.