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Julia Pettine

Researcher at IMEC

Publications -  12
Citations -  526

Julia Pettine is an academic researcher from IMEC. The author has contributed to research in topics: Resonator & Instrumentation amplifier. The author has an hindex of 9, co-authored 12 publications receiving 423 citations.

Papers
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Journal ArticleDOI

A 345 µW Multi-Sensor Biomedical SoC With Bio-Impedance, 3-Channel ECG, Motion Artifact Reduction, and Integrated DSP

TL;DR: This paper presents a MUlti-SEnsor biomedical IC (MUSEIC), which features a high-performance, low-power analog front-end (AFE) and fully integrated DSP achieving 10 × or more energy savings in vector multiply-accumulate executions.
Journal ArticleDOI

A Multi(bio)sensor Acquisition System With Integrated Processor, Power Management, $8 \times 8$ LED Drivers, and Simultaneously Synchronized ECG, BIO-Z, GSR, and Two PPG Readouts

TL;DR: A battery-powered multisensor acquisition system with five dedicated channels that includes an ARM Cortex M0, analog and digital filters, timestamp converter and sample rate converter (SRC), and generic interfaces to support additional sensor modalities is presented.
Proceedings ArticleDOI

18.3 A multi-parameter signal-acquisition SoC for connected personal health applications

TL;DR: The diversity in supported modalities and the generic processing capabilities, all provided in a single-chip low-power solution, make the proposed SoC a key enabler for emerging personal health applications (Fig. 18.3.1).
Journal ArticleDOI

A 13 $\mu {\rm A}$ Analog Signal Processing IC for Accurate Recognition of Multiple Intra-Cardiac Signals

TL;DR: A high-power analog signal processing IC presented for the low-power heart rhythm analysis, offering all the functionality of acquiring multiple high quality intra-cardiac signals, requiring only a few limited numbers of external passives.
Proceedings ArticleDOI

28.4 A battery-powered efficient multi-sensor acquisition system with simultaneous ECG, BIO-Z, GSR, and PPG

TL;DR: A battery-powered, multi-parameter recording platform with built-in support for concurrent ECG, Bio-Impedance (BIO-Z), Galvanic Skin Response (GSR) and Photoplethysmogram (PPG) provides a more accurate, more reliable and broader health assessment in wearable electronics.