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Refet Firat Yazicioglu
Researcher at Katholieke Universiteit Leuven
Publications - 138
Citations - 5606
Refet Firat Yazicioglu is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Signal & Analog signal. The author has an hindex of 40, co-authored 137 publications receiving 4976 citations. Previous affiliations of Refet Firat Yazicioglu include IMEC & GlaxoSmithKline.
Papers
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A 60 $\mu$ W 60 nV/ $\surd$ Hz Readout Front-End for Portable Biopotential Acquisition Systems
TL;DR: A low-power and low-noise readout front-end with configurable characteristics for Electroencephalogram (EEG), Electrocardiogram (ECG), and Electromyogram (EMG) signals is implemented with key to its performance is the new AC-coupled chopped instrumentation amplifier.
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A 200 $\mu$ W Eight-Channel EEG Acquisition ASIC for Ambulatory EEG Systems
TL;DR: The presented ASIC includes eight readout front-end channels and an 11-bit analog-to-digital converter (ADC) and the key to its high performance and low-power dissipation is the new AC coupled chopper stabilized instrumentation amplifier implementation.
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An implantable 455-active-electrode 52-channel CMOS neural probe
Carolina Mora Lopez,Alexandru Andrei,Srinjoy Mitra,Marleen Welkenhuysen,Wolfgang Eberle,Carmen Bartic,Robert Puers,Refet Firat Yazicioglu,Georges Gielen +8 more
TL;DR: The main tradeoff in neural probe design is between minimizing the probe dimensions and achieving high spatial resolution using large arrays of small recording sites.
Journal ArticleDOI
A 30 $\mu$ W Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring
TL;DR: The design and implementation of an analog signal processor (ASP) ASIC for portable ECG monitoring systems and the proposed continuous-time electrode-tissue impedance monitoring circuit enables the monitoring of the signal integrity.
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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,Hyejung Kim,Alonso Morgado,Roland van Wegberg,Tom Torfs,Rachit Mohan,Arjan Breeschoten,Harmke de Groot,Chris Van Hoof,Refet Firat Yazicioglu +12 more
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.