Remote home monitoring via wearables is rapidly gaining popularity, thanks to ever more
complex vital signs recording and data analytics that are embedded into single devices …

An artificial intelligence of things (AIoT) chip is a critical hardware component in edge
devices that supports data acquisition and processing in the artificial intelligence (AI) era. In …

Machine learning-assisted global optimization methods for speeding up analog integrated
circuit sizing is attracting much attention. However, often a few typical analog integrated …

This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper
amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C …

An ultra-low power electrocardiogram (ECG) recording front-end intended for implantable
sensors is presented. The noise-limited, high power first stage of a two-stage amplifier …

This article presents a capacitively coupled voltage-controlled oscillator (VCO)-based
sensor readout featuring a hybrid phase-locked loop (PLL)-ΔΣ modulator structure. It …

Recording neural activity in live animals in vivo with minimal tissue damage is one of the
major barriers to understanding the nervous system. This paper presents the technology for …

This paper presents the operation principle and the silicon characterization of a power
efficient ultra-low voltage and ultra-low area fully-differential, digital-based Operational …

Capacitively coupled chopper instrumentation amplifier (CCIA) is a classical topology for
designing low-noise, low-power instrumentation amplifiers (IAs). However, CCIA has two …

This work presents an on-chip analog-to-information conversion technique that utilizes
analog hyper-dimensional computing based on reservoir-computing paradigm to process …