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EIT Monitoring ASIC for Wearable Functional Brain Imaging.

J. Xu, M. Konijnenburg, S. Song, H. Ha, R. Wegberg, M. Mazzillo, G. Fallica, C. Hoof, W. Raedt, and N. Helleputte. IEEE Trans. Biomed. Circuits and Systems, 12 (6): 1267-1277 (2018)

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Mario Fuksa University of Stuttgart

Mario Heene

Mario Döbler University of Stuttgart

Mario Gaimann University of Stuttgart

Mario Hermle University of Stuttgart

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A voltage-scalable biomedical signal processor running ECG using 13pJ/cycle at 1MHz and 0.4V.M. Ashouei, J. Hulzink, M. Konijnenburg, J. Zhou, F. Duarte, A. Breeschoten, J. Huisken, J. Stuyt, H. de Groot, F. Barat and 2 other author(s). ISSCC, page 332-334. IEEE, (2011)A 36 μW 1.1 mm2 Reconfigurable Analog Front-End for Cardiovascular and Respiratory Signals Recording.J. Xu, M. Konijnenburg, H. Ha, R. Wegberg, S. Song, D. Blanco-Almazan, C. Hoof, and N. Helleputte. IEEE Trans. Biomed. Circuits and Systems, 12 (4): 774-783 (2018)A Multi(bio)sensor Acquisition System With Integrated Processor, Power Management, 8×8 LED Drivers, and Simultaneously Synchronized ECG, BIO-Z, GSR, and Two PPG Readouts.M. Konijnenburg, S. Stanzione, L. Yan, D. Jee, J. Pettine, R. Wegberg, H. Kim, C. van Liempd, R. Fish, J. Schuessler and 4 other author(s). J. Solid-State Circuits, 51 (11): 2584-2595 (2016)A Bio-Impedance Readout IC With Digital-Assisted Baseline Cancellation for 2-Electrode Measurement.H. Ha, W. Sijbers, R. Wegberg, J. Xu, M. Konijnenburg, P. Vis, A. Breeschoten, S. Song, C. Hoof, and N. Helleputte. ISSCC, page 368-370. IEEE, (2019)An Ultra Low Energy Biomedical Signal Processing System Operating at Near-Threshold.J. Hulzink, M. Konijnenburg, M. Ashouei, A. Breeschoten, T. Berset, J. Huisken, J. Stuyt, H. de Groot, F. Barat, J. David and 1 other author(s). IEEE Trans. Biomed. Circuits and Systems, 5 (6): 546-554 (2011)BiometricNet: Deep Learning based Biometric Identification using Wrist-Worn PPG.L. Everson, D. Biswas, M. Panwar, D. Rodopoulos, A. Acharyya, C. Kim, C. Hoof, M. Konijnenburg, and N. Helleputte. ISCAS, page 1-5. IEEE, (2018)Evaluation of 90nm 6T-SRAM as Physical Unclonable Function for secure key generation in wireless sensor nodes.G. Selimis, M. Konijnenburg, M. Ashouei, J. Huisken, H. de Groot, V. van der Leest, G. Schrijen, M. van Hulst, and P. Tuyls. ISCAS, page 567-570. IEEE, (2011)ULP-SRP: Ultra Low-Power Samsung Reconfigurable Processor for Biomedical Applications.C. Kim, M. Chung, Y. Cho, M. Konijnenburg, S. Ryu, and J. Kim. TRETS, 7 (3): 22:1-22:15 (2014)A 2.4 GHz ULP OOK Single-Chip Transceiver for Healthcare Applications.M. Vidojkovic, X. Huang, P. Harpe, S. Rampu, C. Zhou, L. Huang, J. van de Molengraft, K. Imamura, B. Busze, F. Bouwens and 7 other author(s). IEEE Trans. Biomed. Circuits and Systems, 5 (6): 523-534 (2011)IoT: Source of test challenges.E. Marinissen, Y. Zorian, M. Konijnenburg, C. Huang, P. Hsieh, P. Cockburn, J. Delvaux, V. Rozic, B. Yang, D. Singelée and 4 other author(s). ETS, page 1-10. IEEE, (2016)

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Disambiguation of "Konijnenburg, Mario"

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A 665 μW Silicon Photomultiplier-Based NIRS/EEG/EIT Monitoring ASIC for Wearable Functional Brain Imaging.

Please choose a person to relate this publication to

Mario Fuksa University of Stuttgart

Mario Heene

Mario Döbler University of Stuttgart

Mario Gaimann University of Stuttgart

Mario Hermle University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Konijnenburg, Mario"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 665 μW Silicon Photomultiplier-Based NIRS/EEG/EIT Monitoring ASIC for Wearable Functional Brain Imaging.

Please choose a person to relate this publication to

Mario Fuksa University of Stuttgart

Mario Heene

Mario Döbler University of Stuttgart

Mario Gaimann University of Stuttgart

Mario Hermle University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A 665 μW Silicon Photomultiplier-Based NIRS/EEG/EIT Monitoring ASIC for Wearable Functional Brain Imaging.