Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Nick, Van Helleputte"'
Autor:
Qiuyang Lin, Haocun Wang, Dwaipayan Biswas, Zheyi Li, Erika Lutin, Chris van Hoof, Mingyi Chen, Nick van Helleputte
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 675-683 (2024)
Advancements in integrated circuit (IC) technology have accelerated the miniaturization of body-worn sensors and systems, enabling long-term health monitoring. Wearable electrocardiogram (ECG), finger photoplethysmogram (PPG), and wrist-worn PPG have
Externí odkaz:
https://doaj.org/article/0ab2d8da70ee491ea3c6c27ade64a20c
Autor:
Noa Peeleman, Hannes Heylen, Ahmad Kathoun, Nick Van Helleputte, Tom Theys, Myles Mc Laughlin, Mathieu Vandenbulcke, Peter Janssen
Publikováno v:
Brain Stimulation, Vol 16, Iss 1, Pp 267- (2023)
Externí odkaz:
https://doaj.org/article/8d0aa7d9ca4c43249e971cd7b3799178
Autor:
Shiwei Wang, Marco Ballini, Xiaolin Yang, Chutham Sawigun, Jan-Willem Weijers, Dwaipayan Biswas, Nick Van Helleputte, Carolina Mora Lopez
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 1, Pp 67-78 (2021)
This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled
Externí odkaz:
https://doaj.org/article/c040d51951d74eada46343f1d78310df
Autor:
Xiaohua Huang, Horacio Londono-Ramirez, Marco Ballini, Chris Van Hoof, Jan Genoe, Sebastian Haesler, Georges Gielen, Nick Van Helleputte, Carolina Mora Lopez
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:3312-3323
Autor:
Chris Van Hoof, Georges Gielen, Jan Craninckx, Beatrice Miccoli, Xiaohua Huang, Carolina Mora Lopez, Marco Ballini, Nick Van Helleputte, Shiwei Wang
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:804-808
An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this paper. It features an 11-bit incremental delta-sigma analog-to-digital converter (σ ADC) enhanced with an offset-rejecting event-driven inpu
Autor:
Qiuyang Lin, Wim Sijbers, Christina Avdikou, Didac Gomez, Dwaipayan Biswas, Sneha Sneha, Anastasios Malissovas, Bernardo Tacca, Nick Van Helleputte
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Autor:
Hosung Chun, Xiaolin Yang, Chris Van Hoof, Menglian Zhao, Xiaobo Wu, Carolina Mora Lopez, Nick Van Helleputte, Marco Ballini, Jiawei Xu
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 15:199-209
The recording of biopotential signals using techniques such as electroencephalography (EEG) and electrocardiography (ECG) poses important challenges to the design of the front-end readout circuits in terms of noise, electrode DC offset cancellation a
Autor:
Yifan Zhang, Shuang Song, Rik Vullings, Dwaipayan Biswas, Neide Simões-Capela, Nick van Helleputte, Chris van Hoof, Willemijn Groenendaal
Publikováno v:
Sensors, Vol 19, Iss 3, p 673 (2019)
Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significan
Externí odkaz:
https://doaj.org/article/8d97c8e68e7e4dcf841f0fed7e45d99d
Autor:
Shuang Song, Wim Sijbers, Mario Konijnenburg, Qiuyang Lin, Chris Van Hoof, Roland van Wegberg, Dwaipayan Biswas, Filip Tavernier, Stefano Stanzione, Nick Van Helleputte, Hui Jiang, Ivan D. Castro
Publikováno v:
IEEE Sensors Journal. 21:1108-1123
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. True system-on-chips (SoCs) push the envelope of power and form factor, wh
Autor:
Dwaipayan Biswas, Carolina Mora Lopez, Shiwei Wang, Jan-Willem Weijers, Chutham Sawigun, Marco Ballini, Xiaolin Yang, Nick Van Helleputte
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society. 1:67-78
This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled