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Design of a configurable SoC for Alzheimer's disease detection based on multimodal signals.

Overview

Authors: Yannan Yuan1, Liufang Sheng2, Zhikang Chen3, Yuejun Zhang3, Qikang Li3, Junping Chen4, Ke Ding5, Lei Shi2, Qiaoxia Hu1, Wenming He1
ORCID iDs: Ke Ding
  1. Department of Geriatrics, The First Affiliated Hospital of Ningbo University, Ningbo, China
  2. The Affiliated People’s Hospital, Ningbo University, Ningbo, China
  3. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China
  4. Department of Anesthesiology, Ningbo No. 2 Hospital, Ningbo, China
  5. Department of Biological Sciences, University of Toronto, Toronto, Canada
Institutions: Ningbo University (China); Ningbo No. 2 Hospital (China); University of Toronto (Canada)
Journal: BMC bioinformatics, volume 27, issue 1, article 88
Dates: received 29 July 2025; accepted 23 February 2026; published online 10 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1186/s12859-026-06410-6 · PMID 41807935 · PMCID PMC13085545 · OpenAlex W7134832398
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), EEG (modality), human (organism), Alzheimer's / dementia (population), methods / tools (subfield)
Methods: Connectivity, Machine learning
Keywords: Alzheimer's disease, Multi-modal signals, Configurable, Artificial neural network, Chip design
MeSH: Alzheimer Disease*, Electroencephalography*, Magnetic Resonance Imaging*, Neural Networks, Computer*, Humans, Signal Processing, Computer-Assisted (* major topic)
Topic: Embedded Systems Design Techniques (Hardware and Architecture, Computer Science), according to OpenAlex
Funding: Zhejiang Province Traditional Chinese Medicine Science and Technology Project (2023ZL659); Science and Technology Innovation 2035 Major Project of Ningbo (2024T016); Yinzhou District Scientific and Technological Project (2025AS018, 2024AS020, 2024Y04); National Natural Science Foundation of China (62474100,62174121,62134002); Zhejiang Province Leading Geese Plan Project (2025C01063); Ningbo University and Ningbo Yongxin Microelectronics Technology Co., LTD. Digital Integrated Circuit Design Joint Laboratory (XQ2022000005); Ningbo University Graduate Education Practice Base (YJD202305); Science and Technology Innovation 2025 Major Project of Ningbo (2022Z203)
Citations: not cited yet (Europe PMC); 25 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1186/s12859-026-06410-6.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 5 keywords, 6 MeSH terms, 8 funders, 25 references.

Cite

This paper

Yuan, Y., Sheng, L., Chen, Z., Zhang, Y., Li, Q., Chen, J., Ding, K., Shi, L., Hu, Q., & He, W. (2026). Design of a configurable SoC for Alzheimer's disease detection based on multimodal signals. BMC bioinformatics, 27(1), 88. https://doi.org/10.1186/s12859-026-06410-6

BibTeX

@article{yuan2026design,
author = {Yuan, Yannan and Sheng, Liufang and Chen, Zhikang and Zhang, Yuejun and Li, Qikang and Chen, Junping and Ding, Ke and Shi, Lei and Hu, Qiaoxia and He, Wenming},
title = {{Design of a configurable SoC for Alzheimer's disease detection based on multimodal signals}},
journal = {BMC bioinformatics},
year = {2026},
month = mar,
volume = {27},
number = {1},
pages = {88},
publisher = {BMC},
issn = {1471-2105},
doi = {10.1186/s12859-026-06410-6},
url = {https://doi.org/10.1186/s12859-026-06410-6},
pmid = {41807935},
pmcid = {PMC13085545}
}

RIS

TY - JOUR
AU - Yuan, Yannan
AU - Sheng, Liufang
AU - Chen, Zhikang
AU - Zhang, Yuejun
AU - Li, Qikang
AU - Chen, Junping
AU - Ding, Ke
AU - Shi, Lei
AU - Hu, Qiaoxia
AU - He, Wenming
TI - Design of a configurable SoC for Alzheimer's disease detection based on multimodal signals
T2 - BMC bioinformatics
J2 - BMC Bioinformatics
PY - 2026
DA - 2026/03/10
VL - 27
IS - 1
SP - 88
SN - 1471-2105
PB - BMC
DO - 10.1186/s12859-026-06410-6
UR - https://doi.org/10.1186/s12859-026-06410-6
LA - en
ER -

CSL-JSON

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"family": "Yuan",
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"language": "en",
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