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An SVM-Based Atrial Fibrillation Detection Processor IC with a 95.8-% Sensitivity for Low-Power Event-Driven Cardiac Monitoring Applications
会议论文
2024 INTERNATIONAL VLSI SYMPOSIUM ON TECHNOLOGY, SYSTEMS AND APPLICATIONS (VLSI TSA), HsinChu, Taiwan, 22-25 April 2024
作者:
Kanjun Zhou
;
Xinyue Gu
;
Hongming Lyu
Adobe PDF(1940Kb)
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浏览/下载：369/13
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提交时间：2024/06/17
Application specific integrated circuits
Diseases
Energy efficiency
Fast Fourier transforms
Feature extraction
Frequency domain analysis
Heart
Signal processing
Support vector machines
Timing circuits
Atrial fibrillation
Cardiac monitoring
Cardiac signals
Energy efficient
Event-driven
Implantable cardiac monitoring
Low Power
Monitoring applications
R-peak detection
Support vectors machine
An Energy-Efficient Stream-Based FPGA Implementation of Feature Extraction Algorithm for LiDAR Point Clouds With Effective Local-Search
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS, 2023, 卷号: 70, 期号: 1, 页码: 1-13
作者:
Sun, Hao
;
Deng, Qi
;
Liu, Xinzhe
;
Shu, Yuhao
;
Ha, Yajun
Adobe PDF(3454Kb)
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浏览/下载：548/0
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提交时间：2022/11/25
Computer graphics
Energy efficiency
Extraction
Feature extraction
Field programmable gate arrays (FPGA)
Graphics processing unit
Matrix algebra
Program processors
Robotics
Features extraction
Field programmable gate array
Field programmables
Local search
Localization and mappings
Point cloud compression
Point-clouds
Programmable gate array
Simultaneously localization and mapping
Sparse matrices
Task analysis
Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image
期刊论文
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2022, 卷号: 98
作者:
Feng, Jinwang
;
Zhang, Shao-Wu
;
Chen, Luonan
;
Zuo, Chunman
Adobe PDF(3328Kb)
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浏览/下载：377/0
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提交时间：2022/05/27
Brain
Classification (of information)
Correlation methods
Feature extraction
Frequency domain analysis
Image segmentation
Neurodegenerative diseases
Neuroimaging
Principal component analysis
Radial basis function networks
Support vector machines
Vectors
Alzheimer disease detection
Alzheimers disease
Brain networks
Disease detection
Energy feature
Energy feature extraction
Features extraction
Region-of-interest
Regions of interest
Shearlet transforms
Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks
期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 260-272
作者:
Feng, Jinwang
;
Zhang, Shao-Wu
;
Chen, Luonan
Adobe PDF(2301Kb)
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浏览/下载：443/0
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提交时间：2020/12/04
Brain
Classification (of information)
Frequency domain analysis
Magnetic resonance imaging
Neuroimaging
Support vector machinesAlzheimer's disease
Connection strength
Energy distributions
Energy feature vectors
Non-sub-sampled contourlet transforms
Non-subsampled contourlet
Radial Basis Function(RBF)
State-of-the-art approach
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