Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Dwaipayan Biswas"'
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:
Sudipta Das, Bhawana Kumari, Siva Satyendra Sahoo, Yukai Chen, James Myers, Dragomir Milojevic, Dwaipayan Biswas, Julien Ryckaert
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 10, Pp 67-74 (2024)
Scaling on-chip memory capacity is one of the primary approaches to mitigate memory wall bottlenecks. Various 2.5-D/3-D integration schemes, leveraging novel partitioning, are being actively explored to improve system performance. However, fine-grain
Externí odkaz:
https://doaj.org/article/f472f1cbd0464081935fd006f9f87a57
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
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-10 (2020)
The clinical assessment technology such as remote monitoring of rehabilitation progress for lower limb related ailments rely on the automatic evaluation of movement performed along with an estimation of joint angle information. In this paper, we intr
Externí odkaz:
https://doaj.org/article/75191236e7fc4277ae35da44b063a814
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
Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices
Autor:
Chandrajit Pal, Sunil Pankaj, Wasim Akram, Dwaipayan Biswas, Govardhan Mattela, Amit Acharyya
Publikováno v:
Circuits, Systems, and Signal Processing. 41:3957-3984
Autor:
Yingping Chen, Bernardo Tacca, Yunzhu Chen, Dwaipayan Biswas, Georges Gielen, Francky Catthoor, Marian Verhelst, Carolina Mora Lopez
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
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:
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