IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024
10 – 13 November 2024 Houston, TX USA
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments
C. Wang, T. S. Kumar, W. De Raedt, G. Camps, H. Hallez, B. Vanrumste
Eating speed is an important indicator that has been widely investigated in nutritional studies. The relationship between eating speed and several intake-related problems such as obesity, diabetes, and oral health has received increased attention from researchers. However, existing studies mainly use self-reported questionnaires to obtain participants’ eating speed, where they choose options from slow, medium, and fast. Such a non-quantitative method is highly subjective and coarse at the individual level. This study integrates two classical tasks in automated food intake monitoring domain: bite detection and eating episode detection, to advance eating speed measurement in near-free-living environments automatically and objectively. Specifically, a temporal convolutional network combined with a multi-head attention module (TCN-MHA) is developed to detect bites (including eating and drinking gestures) from IMU data. The predicted bite sequences are then clustered into eating episodes. Eating speed is calculated by using the time taken to finish the eating episode to divide the number of bites. To validate the proposed approach on eating speed measurement, a 7-fold cross validation is applied to the self-collected fine-annotated full-day-I (FD-I) dataset, and a holdout experiment is conducted on the full-day-II (FD-II) dataset. The two datasets are collected from 61 participants with a total duration of 513 h, which are publicly available. Experimental results show that the proposed approach achieves a mean absolute percentage error (MAPE) of 0.110 and 0.146 in the FD-I and FD-II datasets, respectively, showcasing the feasibility of automated eating speed measurement in near-free-living environments.
Tags: Eating speed, nutritional studies, automated food intake monitoring, temporal convolutional network, near-free-living environments.
Sensor Informatics
OVAR-BPnet: A General Pulse Wave Deep Learning Approach for Cuffless Blood Pressure Measurement
Cen, Yuhui, Luo, Jingchun, Wang, Hongbo, Chen, Li, Zhu, Xing, Guo, Shijie, LUO, JINGJING
An Efficient Epilepsy Prediction Model on European Dataset with Model Evaluation Considering Seizure Types
Varnosfaderani, Shiva Maleki, McNulty, Ian; Sarhan, Nabil J.; Abood, Waleed; Alhawari, Mohammad.
Advancing Sensing Resolution of Impedance Hand Gesture Recognition Devices
Lou, Zhiyuan; Min, Xue; Li, Guanhan; Avery, James; Stewart, Rebecca.
Cross-modal guiding neural network for multimodal emotion recognition from EEG and eye movement signals
Fu, Baole; Chu, Wenhao; Gu, Chunrui; Liu, Yinhua
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
Avramidis, Kleanthis; Kunc, Dominika; Perz, Bartosz; Adsul, Kranti; Feng, Tiantian; Kazienko, PrzemysBaw; Saganowski, StanisBaw; Narayanan, Shrikanth
An Attention-based Multi-domain Bi-hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
Gong, Linlin; Chen, Wanzhong; Zhang, Dingguo
Spatial-Frequency Characteristics of EEG Associated with the Mental Stress in Human-Machine Systems
Yao, Qunli; Gu, Heng; Wang, Shaodi; Li, Xiaoli
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition.
Gao, Hongxiang; Wang, Xingyao; Chen, Zhenghua; Wu, Min; Cai, Zhipeng; Zhao, Lulu; Li, Jianqing; Liu, Chengyu
Towards wearable and portable spine motion analysis through dynamic optimization of smartphone videos and IMU data
Wang, Wei; Peng, Yinghu; Sun, Yilun; Wang, Jun; Li, Guanglin
Development of a miniaturized mechanoacoustic sensor for continuous, objective cough detection, characterization and physiologic monitoring in children with cystic fibrosis
Palla, John; Mathur, Radhika; Bedford, Brittany; Wu, Yung-Hsuan; Trueb, Jacob; Shin, Hee Sup; Arafa, Hany; Jeong, Hyoyoung; Ouyang, Wei; Kwak, Jay Young; Chiang, Jennifer; Schulz, Sydney; Carter, Tina M. Rangaraj, Vittobai; Katsaggelos, Aggelos; McColley, Susanna A.; McColley, Susanna A.; Rogers, John A
Using the Cocktail Party Effect to Add the Coding Dimension of Auditory Event Related Potential Brain-Computer Interface
Xu, Wei; Tang, Jiabei; Qi, Hongzhi
Tags: Pulse wave analysis, blood pressure (BP) measurement, data augmentation, photoplethysmography
Imaging Informatics
Insula-medial prefrontal cortex functional connectivity modulated by transcutaneous auricular vagus nerve stimulation: An fMRI study
Zhang, Yujiao; Lin, Pan; Wang, Ruimin; Zhou, Jiang; Xu, Xiaoquan; Jiang, Wenhao; Pu, Xiongying Ge, Sheng.
IIAM: Intra and Inter Attention with Mutual Consistency Learning Network for Medical Image Segmentation
Pang, Chen; Lu, Xuequan; Liu, Xiang; Zhang, Renfeng; Lyu, Lei
An Adaptively Weighted Averaging Method for Regional Time Series Extraction of fMRI-based Brain Decoding
Zhu, Jianfei; Wei, Baichun; Tian, Jiaru; Jiang, Feng; Yi, Chunzhi
NuSEA: Nuclei Segmentation with Ellipse Annotations
Meng, Zhu; Dong, Junhao; Zhang, Binyu; Li, Shichao; Wu, Ruixiao; Su, Fei; Wang, Guangxi; Guo, Limei; Zhao, Zhicheng
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
Xu, Rongtao; Wang, Changwei; Zhang, Jiguang; Xu, Shibiao ; Meng, Weiliang; Zhang, Xiaopeng
MSGM: An Advanced Deep Multi-size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges
Li, Xiaoxiao; Li, Zhengxiong; Hu, Taobo; Long, Mengping; Ma, Xiao; Huang, Jin; Liu, Yiqiang; Yalikun, Yaxiaer; Liu, Sheng; Wang, Du; Wu, Jianghua; Mei, Liye; Lei, Cheng
LeSAM: Adapt Segment Anything Model for medical lesion segmentation
Gu, Yunbo; Wu, Qianyu; Tang, Hui; Mai, Xiaoli; Shu, Huazhong; Li, Baosheng; chen, yang
PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration
Xu, Wenhao; Xu, Rongtao; Wang, Changwei; Li, Xiuli; Xu, Shibiao; Guo, Li
End-to-end multimodal emotion recognition based on facial expressions and remote photoplethysmography signals
Li, Jixiang; Peng, Jianxin
Cross-Anatomy Transfer Learning via Shape-Aware Adaptive Fine-Tuning for 3D Vessel Segmentation
Han, Tao; Ai, Danni; Fan, Jingfan; Song, Hong; Xiao, Deqiang; Wang, Yining; Yang, Jian
MonoLoT: Self-Supervised Monocular Depth Estimation in Low-Texture Scenes for Automatic Robotic Endoscopy
He, Qi; Feng, Guang; Bano, Sophia; Stoyanov, Danail; Zuo, Siyang
Deep Learning-Based Microscopic Cell Detection using Inverse Distance Transform and Auxiliary Counting
Liu, Rui; DAI, Wei; Wu, Cong; Wu, Tianyi; Wang, Min; Zhou, Junxian; Zhang, Xiaozhen; Li, Wen J.; Liu, Jun
SKGC: A General Semantic-level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease
Lu, Yuhuan; tan, Guanghua; Pu, Bin; Wang, Hang; Liang, Bocheng; Li, Kenli; Rajapakse, Jagath
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification
Bai, Xiaoyu; Chen, Geng; Ma, Benteng; Li, Changyang; Zhang, Jingfeng; Xia, Yong
Tags: Nerve stimulation, Functional connectivity, medial prefrontal cortex, Functional Magnetic Resonance Imaging
Medical Informatics
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network
Wen, Xuyun; Cao, Qumei; Zhao, Yunxi; Wu, Xia; Zhang, Daoqiang
EIRAD: An evidence-based dialogue system with highly interpretable reasoning path for automatic diagnosis
Yan, Lian; Guan, Yi; Wang, Haotian; Lin, Yi; Yang, Yang; Wang, Boran; Jiang, Jingchi
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation
Rinkevicius, Mantas, Lαzaro, Jesϊs; Gil, Eduardo; Laguna, Pablo; Charlton, Peter; Bailσn, Raquel; Marozas, Vaidotas
Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson’s Disease
Shuqair, Mustafa; Jimenez-Shahed, Joohi; Ghoraani, Behnaz
MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer
Park, Sangjoon; Lee, Ik Jae; Kim, Jun Won; Ye, Jong
Employing deep reinforcement learning to maximize lower limb blood flow using intermittent pneumatic compression
Santelices, Iara B.; Landry, Cederick; Arami, Arash; Peterson, Sean
Tags: functional magnetic resonance imaging, individual behaviour prediction, brain functional networks,hierarchical connectivity patterns
Bioinformatics
iProps: A comprehensive software tool for protein classification and analysis with automatic machine learning capabilities and model interpretation capabilities
Feng, Changli; Wei, Haiyan; Xu, Chugui; Feng, Bin; Zhu, Xiaorong; Liu, Jing; Zou, Quan
A dual-modality complex-valued fusion method for predicting side effects of drug-drug interactions based on graph neural network.
Kang, Chuanze; Zhang, Han; Yin, Yanbin
MDNNSyn: A multi-modal deep learning framework for drug synergy prediction
Li, Lei; Li, Haitao; Ishdorj, Tseren-Onolt; Zheng, Chun-Hou; Su, Yansen
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug Responses
Hu, Xiaowen; Zhang, Pan; Zhang, Jiaxuan; Deng, Lei
M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction
Wang, Shuang; Liu, Jin-Xing; Li, Feng; Wang, Juan Gao, Ying-Lian
Modeling and AI Informatics
DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation
Zou, Xin; He, Xiao; Zheng, Xiao; Zhang, Wei; Chen, Jiajia; Tang, Chang
Public Health Informatics
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care.
Shirali, Ali; Schubert, Alexander; Alaa, Ahmed
Spatiotemporal Data Modelling for Epidemiological Research in Hospitals
Pujante-Otalora, Lorena; Campos, Manuel; Juarez, Jose M.; Canovas-Segura, Bernardo
Machine Learning Technologies for Biomedical Signal Processing
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach
Wu, Yinzhe; Jewell, Sharon; Xing, Xiaodan; Nan, Yang; Strong, Anthony J.; Yang, Guang; Boutelle, Martyn G.
Stroke Classification with Microwave Signals using Explainable Wavelet Convolutional Neural Network
Hasan, Sazid; Zamani, Ali; Brankovic, Aida; Bialkowski, Konstanty; Abbosh, Amin
ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia
Das, Pradeep; Dash, Abinash; Meher, Sukadev
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction
Sadique, M. S.; Farzana, W.; Temtam, Ahmed; Lappinen, E.; Vossough, A.; Iftekharuddin, Khan
A Fusion Network with Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction
Cao, Wujing; Li, Changyu; Yang, Lijun; Yin, Meng; Chen, Chunjie; Worawarit, Kobsiriphat; Thanak, Utakapa; Yang, Yizhuang; Yu, Haoyong; Wu, Xinyu
Effective Connectivity Estimation by a Hybrid Neural Network, Empirical Wavelet Transform, and Bayesian Optimization
Esmaeil-Zadeh, Milad; Fattahi, Morteza; Soltani-Gol, Mohammad; Rostami, Reza; Soltanian-Zadeh, Hamid
Simultaneous Estimation of Digit Tip Forces and Hand Postures in a Simulated Real-life Condition with High-density Electromyography and Deep Learning
Badamchizadeh, Mohammad ali; Rahimi, Farnaz; Ghaemi, Sehraneh; Del Vecchio, Alessandro
Frequency domain deep learning with non-invasive features for intraoperative hypotension prediction
Moon, Jeong-Hyeon; Lee, Garam; Lee, Seung Mi; Ryu, Jiho; Kim, Dokyoon; Sohn, Kyung-Ah
Generative Adversarial Network for Trimodal Medical Image Fusion using Primitive Relationship Reasoning
Huang, Jingxue; Li, Xiaosong; Tan, Haishu; Cheng, Xiaoqi
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach
Chen, Shixiong; Ahmad, Ijaz; Liu, Zhenzhen; Li, Lin; Ullah, Inam; Timothy, Sunday; Wang, Xin; Samuel, Oluwarotimi; Li, Guanglin; Tao, Yuan; Chen, Yan
Attention-based Temporal Graph Representation Learning for EEG-based Emotion Recognition
Li, Chao; Wang, Feng; Zhao, Ziping; Wang, Haishuai; Schuller, Bjorn
Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring
Cisnal, Ana; Li, Yanke; Fuchs, Bertram; Ejtehadi, Mehdi; Riener, Robert; Paez Granados, Diego
Unsupervised Domain Adaptation Fundus Image Segmentation via Multi-scale Adaptive Adversarial Learning
Ji, Jianhang; Zhou, Wei; Cui, Wei; Wang, Yingyuan; Yi, Yugen
Personalization of automatic sleep scoring: How best to adapt models to personal domains in wearable EEG
Lorenzen, Kristian P.; Heremans, Elisabeth; De Vos, Maarten; Mikkelsen, kaare
Age Group Discrimination via Free Handwriting Indicators
Lomuro, Eugenio; Toffoli, Simone; Di Febbo, Davide; Matteucci, Matteo; Lunardini, Francesca; Ferrante, Simona
Tags: Electroencephalogram (EEG) data,Spreading Depolarizations,traumatic brain injury (TBI),neurocritical care