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Chris Van Hoof

Chris Van Hoof

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
19922
World Ranking
859
National Ranking
19

Overview

Chris Van Hoof is affiliated with KU Leuven in Belgium, contributing extensively to the intersection of medicine and engineering through their research. Their work primarily focuses on biomedical engineering and related subfields, including cardiology, electrical engineering, surgery, and physiology.

The researcher's publication record emphasizes key topics such as non-invasive vital sign monitoring, hemodynamic monitoring and therapy, heart rate variability and autonomic control, as well as ECG monitoring and analysis. Other notable topics include neuroscience and neural engineering, body composition measurement techniques, and mental health research.

Their recent papers include:

  • Enabling Robust Radar-Based Localization and Vital Signs Monitoring in Multipath Propagation Environments, 2021, IEEE Transactions on Biomedical Engineering
  • A 119dB Dynamic Range Charge Counting Light-to-Digital Converter For Wearable PPG/NIRS Monitoring Applications, 2020, IEEE Transactions on Biomedical Circuits and Systems
  • Wearable Multiple Modality Bio-Signal Recording and Processing on Chip: A Review, 2020, IEEE Sensors Journal
  • Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation, 2020, Sensors
  • Binary CorNET: Accelerator for HR Estimation From Wrist-PPG, 2020, IEEE Transactions on Biomedical Circuits and Systems

Van Hoof frequently collaborates with several co-authors, indicating a network with shared research interests. Noteworthy co-authors include Nick Van Helleputte, Willemijn Groenendaal, Melanie Schoutteten, Erika Lutin, and Hélène De Cannière.

The researcher's work is published repeatedly in specific venues, highlighting established contributions within several journals. These include Sensors, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Biomedical Engineering, Journal of Medical Internet Research, and Nephrology Dialysis Transplantation.

Overall, the scientist's research spans a broad spectrum of biomedical topics, integrating advanced engineering methods to address medical challenges, particularly in non-invasive monitoring and cardiovascular-related applications.

Best Publications

  • Micropower energy harvesting

    R.J.M. Vullers;R. van Schaijk;I. Doms;C. Van Hoof;C. Van Hoof

  • Energy Harvesting for Autonomous Wireless Sensor Networks

    Rudd J.M. Vullers;Rob van Schaijk;Hubregt J. Visser;Julien Penders

  • A 60 $\mu$ W 60 nV/ $\surd$ Hz Readout Front-End for Portable Biopotential Acquisition Systems

    R.F. Yazicioglu;P. Merken;R. Puers;C. Van Hoof

  • Thermoelectric Converters of Human Warmth for Self-Powered Wireless Sensor Nodes

    V. Leonov;T. Torfs;P. Fiorini;C. Van Hoof

  • A 200 $\mu$ W Eight-Channel EEG Acquisition ASIC for Ambulatory EEG Systems

    R.F. Yazicioglu;P. Merken;R. Puers;C. Van Hoof

  • Harvesting energy from the motion of human limbs: the design and analysis of an impact-based piezoelectric generator

    Michael Renaud;Paolo Fiorini;Rob van Schaijk;Chris van Hoof;Chris van Hoof

  • A 30 $\mu$ W Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring

    Refet Firat Yazicioglu;Sunyoung Kim;Tom Torfs;Hyejung Kim

  • Vital-sign monitoring and spatial tracking of multiple people using a contactless radar-based sensor

    Marco Mercuri;Ilde Rosa Lorato;Yao Hong Liu;Fokko Wieringa;Fokko Wieringa

  • Fabrication, modelling and characterization of MEMS piezoelectric vibration harvesters

    M Renaud;K Karakaya;Tom Sterken;P Fiorini

  • Realization of a wearable miniaturized thermoelectric generator for human body applications

    Ziyang Wang;Vladimir Leonov;Paolo Fiorini;Chris Van Hoof

  • Pseudo-Two-Dimensional Model for Double-Gate Tunnel FETs Considering the Junctions Depletion Regions

    M.G. Bardon;H.P. Neves;R. Puers;C. Van Hoof

  • A $160~\mu { m W}$ 8-Channel Active Electrode System for EEG Monitoring

    Jiawei Xu;R. F. Yazicioglu;B. Grundlehner;P. Harpe

  • Prostate-specific antigen immunosensing based on mixed self-assembled monolayers, camel antibodies and colloidal gold enhanced sandwich assays

    Lieven Huang;Gunter Reekmans;Dirk Saerens;Jean-Michel Friedt

  • CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment

    Dwaipayan Biswas;Luke Everson;Muqing Liu;Madhuri Panwar

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

    Nick Van Helleputte;Mario Konijnenburg;Julia Pettine;Dong-Woo Jee

  • Soft, Comfortable Polymer Dry Electrodes for High Quality ECG and EEG Recording

    Yun Hsuan Chen;Maaike Op de Beeck;Luc Vanderheyden;Evelien Carrette

  • A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications

    Hyejung Kim;Sunyoung Kim;Nick Van Helleputte;Antonio Artes

  • Human++: autonomous wireless sensors for body area networks

    B. Gyselinckx;C. Van Hoof;J. Ryckaert;R.F. Yazicioglu

  • Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review

    Dwaipayan Biswas;Neide Simoes-Capela;Chris Van Hoof;Nick Van Helleputte

  • ECG Signal Compression and Classification Algorithm With Quad Level Vector for ECG Holter System

    Hyejung Kim;R.F. Yazicioglu;P. Merken;C. Van Hoof

  • Franz–Keldysh oscillations originating from a well‐controlled electric field in the GaAs depletion region

    C. Van Hoof;K. Deneffe;J. De Boeck;D. J. Arent

  • A configurable and low-power mixed signal SoC for portable ECG monitoring applications

    Hyejung Kim;Refet Firat Yazicioglu;Sunyoung Kim;Nick Van Helleputte

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