IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024
10 – 13 November 2024 Houston, TX USA
Non-Contact Blood Pressure Estimation from Radar Signals by a Stacked Deformable Convolution Network
Y. Qiu, X. Ma, X. Li, S. Fan, Z. Deng, X. Huang,
This study introduces a contactless blood pressure monitoring approach that combines conventional radar signal processing with novel deep learning architectures. During the preprocessing phase, datasets suitable for synchronization are created by integrating Kalman filtering, multiscale bandpass filters, and a periodic extraction method in the time domain. These data comprise data on chest micro variations, encapsulating a complex array of physiological and biomedical information reflective of cardiac micromotions. The Radar-based Stacked Deformable convolution Network (RSD-Net) integrates channel and spatial self attention mechanisms within a deformable convolutional framework to enhance feature extraction from radar signals. The network architecture systematically employs deformable convolutions for initial deep feature extraction from individual signals. Subsequently, continuous blood pressure estimation is conducted using self attention mechanisms on feature map from single source coupled with multi-feature map channel attention. The performance of model is corroborated via the open-source dataset procured using a non-invasive 24 GHz six-port continuous wave radar system. The dataset, encompassing readings from 30 healthy individuals subjected to diverse conditions including rest, the Valsalva maneuver, apnea, and tilt-table examinations. It serves to substantiate the validity and resilience of the proposed method in the non-contact assessment of continuous blood pressure. Evaluation metrics reveal Pearson correlation coefficients of 0.838 for systolic and 0.797 for diastolic blood pressure predictions. The Mean Error (ME) and Standard Deviation (SD) for systolic and diastolic blood pressure measurements are −0.32 ± 6.14 mmHg and −0.20 ± 5.50 mmHg, respectively. The ablation study assesses the contribution of different structural components of the RSD-Net, validating their significance in the overall of model performance
Sensor Informatics
Riemannian Locality Preserving Method for Transfer Learning with Applications on Brain-computer Interface
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Wearable surface deformation myography (sDMG) system for recognition of locomotion modes
Sun, Haoran; Peng, Xiangyu; Wang, Junlang; Liu, Jie; Fu, Tingting; He, Chaoming
Automatically extracting and utilizing EEG channel importance based on graph convolutional network for emotion recognition
Yang, Kun; Yao, Zhenning; Zhang, Keze; Xu, Jing; Zhu, Li Cheng, Shichao; zhang, jianhai
EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection
Mercado Diaz, Luis Roberto; Veeranki, Yedukondala Rao; Marmolejo-Ramos, Fernando; Posada-Quintero, Hugo
ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement
Cao, Mingyue; Cheng, Xu; Liu, Xingyu; Jiang, Yan; Yu, Hao; Shi, Jingang
DSFE: Decoding EEG-based finger motor imagery using feature-dependent frequency, feature fusion and ensemble learning
Yang, Kun; Li, Ruochen; Xu, Jing; Zhu, Li; kong, wanzeng; zhang, jianhai
Imaging Informatics
Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI
yang, zhikai; Shen, Dinggang; Chan, Kannie; Huang, Jianpan
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network
Chen, Zhensen; Lu, Yao-sheng; Long, Shun; Campello, Vνctor M.; Bai, Jieyun; Lekadir, Karim
Privacy-protected Contactless Sleep Parameters Measurement using A Defocused Camera
Zhu, Yingen; Hong, Hong; Wang, Wenjin
Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images
Hsiao, Chiu-Han; Lin, Frank Yeong-Sung; Sun, Tzu-Lung; Liao, Yen-Yen; Wu, Chih-Horng; Lai, Yu-Chun; Wu, Hung-Pei; Liu, Pin-Ruei; Xiao, Bo-Ren; Chen, Chien-Hung; Huang, Yennun
Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-based Blind Spot (TBS) Network
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Zhao, Tianyi; Zhang, Gaoyan
Boundary-aware Gradient Operator Network for Medical Image Segmentation
YU, LI; Min, Wenwen; Wang, Shunfang
A Hessian-Based Technique for Specular Reflection Detection and Inpainting in Colonoscopy Images
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Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images
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ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging
Lan, Tianzhong; Zeng, Fanxin; Yi, Zhang; Xu, Xiuyuan; Zhu, Min
NeighborNet: Learning Intra- and Inter-Image Pixel Neighbor Representation for Breast Lesion Segmentation
Cao, Weiwei; Guo, Jianfeng; You, Xiaohui; Liu, Yuxin; Li, Lei; Cui, Wenju; Cao, Yuzhu; Chen, Xinjian; Zheng, Jian
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention with a Transformer for Bladder Wall and Tumor Segmentation
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ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
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Involution Transformer based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH
Huang, Tianxiang; Shi, Jing; Li, Juncheng; Wang, Jun; Du, Jun; Shi, Jun
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
Beetz, Marcel; Banerjee, Abhirup; Grau, Vicente
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement
Ge, Ruiquan; Fang, Zhaojie; Wei, Pengxue; Chen, Zhanghao; Jiang, Hongyang; Elazab, Ahmed; Li, Wangting; Wan, Xiang; Zhang, Shaochong; Wang, Changmiao
SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework from Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image Segmentation
Xie, Qinlan; Chen, Yong; Liu, Shenglin; Lu, Xuesong
Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis
Ji, Chang-Hoon; Shin, Dong-Hee; Son, Young-Han; Kam, Tae-Eui
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis
Dong, Qunxi; Cai, Hongxin; Li, Zhigang; Liu, Jingyu; Hu, Bin
FARN: Fetal Anatomy Reasoning Network for Detection with Global Context Semantic and Local Topology Relationship
Zhao, Lei; tan, Guanghua; Wu, Qianghui; Pu, Bin; Ren, Hongliang; Li, Shengli; Li, Kenli
Medical Informatics
MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea In Classification Problem
Hieu, Nguyen; Nguyen, Duong V.; Pham, Huy Hieu; Do, Cuong D.
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
Ling, Lu; Mondal, Washim Uddin; Ukkusuri, Satish
A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder
Halabi, Ramzi; Gonzalez-Torres, Christina; MacLean, Stephane; Husain, M. Ishrat; Pratap, Abhishek; Alda, Martin; Mulsant, Benoit H.; Ortiz, Abigail
Quantifying Posttraumatic Stress Disorder Symptoms During Traumatic Memories Using Interpretable Markers of Respiratory Variability
Gazi, Asim; Sanchez-Perez, Jesus; Saks, Georgia L.; Perez Alday, Erick Andres; Haffar, Ammer; Ahmed, Hashir; Herraka, Duaa; Tarlapally, Nitya; Smith, Nicholas L.; Bremner, Douglas; Shah, Amit; Inan, O. T.; Vaccarino, Viola
Stimulus-Response Patterns: The Key to Giving Generalizability to Text-based Depression Detection Models
Liu, Zhenyu; Wu, Yang; Zhang, Haibo; Li, Gang; Ding, ZhiJie; Hu, Bin
Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients with Nasopharyngeal Carcinoma based on TabNet
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Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech
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Bioinformatics
TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction.
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Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-seq Data
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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-small Molecule Ligand Binding Sites Prediction
Wang, Junkai; Quan, Lijun; Jin, Zhi; Wu, Hongjie; Ma, Xuhao; Wang, Xuejiao; Xie, Jingxin; Pan, Deng; Chen, Taoning; Wu, Tingfang; Lyu, Qiang
pathCLIP: Detection of Genes and Gene Relations from Biological Pathway Figures through Image-Text Contrastive Learning
He, Fei; Liu, Kai; Yang, Zhiyuan; Chen, Yibo; Hammer, Richard D.; Xu, Dong; Popescu, Mihail
Modeling and AI Informatics
Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas using adaptive generative and discriminative models
Kalita, Deepjyoti; Sharma, Hrishita; Mirza, Khalid
Data-driven Cognitive Computing for Smart Healthcare Systems
Multi-view fusion network-based gesture recognition using sEMG data
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A Novel Approach of Surface Texture Mapping for Cone-beam Computed Tomography in Image-guided Surgical Navigation
Cai, Ken; Lin, Qinyong; Xiongbo, Guo; Zhang, Wenlong; Cai, Lijing; Yang, Rongqian; Chen, Huazhou
A ROI Extraction Method for Wrist Imaging Applied in Smart Bone-Age Assessment System
Fang, Kai; Wang, Lina; Mao, Yan; Xu, Jinfeng; Wu, Jianan; Wu, Kunxiu; Mao, Keji
DETHACDA: A Dual-view Edge and Topology Hybrid Attention Model for CircRNA-Disease Associations Prediction
Yin, Wenjing; Wang, Shudong; Qiao, Sibo; Zhao, Yawu; Wu, Wenhao; Pang, Shanchen; Lyu, Zhihan
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism
Zhang, Yongqing; Gao, Dongrui; Wang, Kejie; Wang, Manqing; ZHOU, Jiliu
S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test
Tang, Zeshen; Tang, Shiyu; Wang, Haoran; Li, Renren; Zhang, Xiaochen; Zhang, Wei; Yuan, Xiao; Zang, Yaning; Li, Yanping; Zhou, Tian; Li, Yunxia
LightNet: a novel lightweight convolutional network for brain tumor segmentation in healthcare
Wu, Dongyuan; Tao, Junyi; Qin, Zhen; Mumtaz, Rao Asad Yu, Linfang; Qin, Jing; Courtney, Jane
An Attention-Based Hemispheric Relation Inference Network for Perinatal Brain Age Prediction
Zhao, Leilei; Zhu, Dalin; Wang, Xiaomin; liu, xia; Li, Tongtong; Wang, Boyang; Yao, Zhijun; Zheng, Weihao; Hu, Bin
DCNet: A Self-supervised EEG Classification Framework for Improving Cognitive Computing-enabled Smart Healthcare
Zhang, Yiyang; Sun, Le; Gupta, Deepak; Ning, Xin; Tiwari, Prayag
A computational framework for predicting novel drug indications using graph convolutional network with contrastive learning
Luo, Yuxun; Shan, Wenyu; Peng, Li; Luo, Lingyun; Ding, Pingjian; Liang, Wei
Embracing Large Natural Data: Enhancing Medical Image Analysis via Cross-domain Fine-tuning
Li, Qiankun; Huang, Xiaolong; Fang, Bo; Chen, Huabao; Ding, Siyuan; Liu, Xu
Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images with Bounding Box Supervision
Zheng, Wenhao; Chen, Jintai; Zhang, Kai; Yan, Jiahuan; Wang, Jinhong; Cheng, Yi; Du, Bang; Chen, Danny; Gao, Honghao; Wu, Jian; Xu, Hongxia
DCNNLFS: A Dilated Convolutional Neural Network with Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images
Saw, Shier Nee; Huang, Junjun; He, Tianran; Yang, Ruohan; Qin, Yesheng; Chen, Yanlin; Loo, Chu Kiong
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
Yang, Xinxing; Yang, Genke; Chu, Jian