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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.

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Prolonged energy harvesting for ingestible devices.

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Ultra-Low Power QRS Detection and ECG Compression Architecture for IoT Healthcare Devices

TL;DR: A novel real-time QRS detector and an ECG compression architecture for IoT healthcare devices is presented that effectively enhances the QRS complex detection with minimized hardware resources and a lossless compression technique was incorporated into the proposed architecture.

Prolonged energy harvesting for ingestible devices

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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In-Memory Vector-Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives

TL;DR: A qualitative and quantitative analysis of several key existing challenges in implementing high‐capacity, high‐volume RS memories for accelerating the most computationally demanding computation in machine learning (ML) inference, that of vector‐matrix multiplication (VMM), is presented.
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Design of an Always-On Deep Neural Network-Based 1- $\mu$ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction

TL;DR: This paper presents an ultra-low-power voice activity detector (VAD) that uses analog signal processing for acoustic feature extraction (AFE) directly on the microphone output, approximate event-driven analog-to-digital conversion (ED-ADC), and digital deep neural network (DNN) for speech/non-speech classification.
References
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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

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

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

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.
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