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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 25
Volume 25, Number 1, January 2021
- Lei Wang
, Yun Sun, Qingguo Li, Tao Liu, Jingang Yi:
IMU-Based Gait Normalcy Index Calculation for Clinical Evaluation of Impaired Gait. 3-12 - Hamed Danandeh Hesar, Maryam Mohebbi:
An Adaptive Kalman Filter Bank for ECG Denoising. 13-21 - Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos:
A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches. 22-34 - Mohammad Saidur Rahman, Ibrahim Khalil, Xun Yi:
Reversible Biosignal Steganography Approach for Authenticating Biosignals Using Extended Binary Golay Code. 35-46 - Shihan Ma, Bo Lv, Chuang Lin, Xinjun Sheng, Xiangyang Zhu:
EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding. 47-58 - Yurong Li, Xu Yang, Yuezhu Zhou, Jun Chen, Min Du, Yuan Yang:
Adaptive Stimulation Profiles Modulation for Foot Drop Correction Using Functional Electrical Stimulation: A Proof of Concept Study. 59-68 - David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes:
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. 69-76 - Ting-Hsuan Lin, Jyun-Yao Jhang, Chun-Rong Huang, Yu-Ching Tsai, Hsiu-Chi Cheng, Bor-Shyang Sheu:
Deep Ensemble Feature Network for Gastric Section Classification. 77-87 - Jessica Loo, Matthias F. Kriegel, Megan M. Tuohy, Kyeong Hwan Kim, Venkatesh Prajna, Maria A. Woodward, Sina Farsiu:
Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning. 88-99 - Andreia S. Gaudêncio, Pedro G. Vaz, Mirvana Hilal, João M. R. Cardoso, Guillaume Mahé, Mathieu Lederlin, Anne Humeau-Heurtier:
Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis. 100-107 - Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi, Muhammad Noman Nazir:
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology. 108-120 - Ashish Sinha, Jose Dolz:
Multi-Scale Self-Guided Attention for Medical Image Segmentation. 121-130 - Noha M. Ghatwary, Massoud Zolgharni, Faraz Janan, Xujiong Ye:
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos. 131-142 - Shuai Ding, Hui Huang, Zhenmin Li, Xiao Liu, Shanlin Yang:
SCNET: A Novel UGI Cancer Screening Framework Based on Semantic-Level Multimodal Data Fusion. 143-151 - Debaleena Nawn, Sawon Pratiher, Subhankar Chattoraj, Debjani Chakraborty, Mousumi Pal, Ranjan Rashmi Paul, Srimonti Dutta, Jyotirmoy Chatterjee:
Multifractal Alterations in Oral Sub-Epithelial Connective Tissue During Progression of Pre-Cancer and Cancer. 152-162 - Joohyun Seo, Hae-Seung Lee, Charles G. Sodini:
Non-Invasive Evaluation of a Carotid Arterial Pressure Waveform Using Motion-Tolerant Ultrasound Measurements During the Valsalva Maneuver. 163-174 - Chunlei Tang, Joseph M. Plasek, Xiao Shi, Meihan Wan, Haohan Zhang, Min-Jeoung Kang, Liqin Wang, Sevan M. Dulgarian, Yun Xiong, Jing Ma, David W. Bates, Li Zhou:
Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. 175-180 - Carmina Reyes-Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Klösch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel:
3D Camera and Pulse Oximeter for Respiratory Events Detection. 181-188 - Sujee Lee, Shujing Wei, Veronica M. White, Philip A. Bain, Christine Baker, Jingshan Li:
Classification of Opioid Usage Through Semi-Supervised Learning for Total Joint Replacement Patients. 189-200 - Guangyi Zhang, Reza A. Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen:
Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories. 201-208 - Zehua Zhang, Jiaqi Ding, Junhai Xu, Jijun Tang, Fei Guo:
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. 209-217 - Chima Stanley Eke, Emmanuel Jammeh, Xinzhong Li, Camille Carroll, Stephen Pearson, Emmanuel C. Ifeachor:
Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines. 218-226 - Taha Khan, Peter G. Jacobs:
Prediction of Mild Cognitive Impairment Using Movement Complexity. 227-236 - Jingmei Yang, Feng Liu, Boyu Wang, Chaoyang Chen, Timothy Church, Lee Dukes, Jeffrey O. Smith:
Blood Pressure States Transition Inference Based on Multi-State Markov Model. 237-246 - Wei Zhang, Yuanyuan Li, Xiufen Zou:
SCCLRR: A Robust Computational Method for Accurate Clustering Single Cell RNA-Seq Data. 247-256 - Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong:
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. 257-265 - Yahui Long, Jiawei Luo:
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. 266-275 - David Adolfo Sampedro-Puente, Fabien Raphel, Jesus Fernandez-Bes, Pablo Laguna, Damiano Lombardi, Esther Pueyo:
Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and Under $\beta$-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension Reduction. 276-288 - Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. 289-300
Volume 25, Number 2, February 2021
- Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot:
Editorial Computational Pathology. 303-306 - Alexander I. Wright, Catriona M. Dunn, Michael Hale, Gordon G. A. Hutchins, Darren E. Treanor:
The Effect of Quality Control on Accuracy of Digital Pathology Image Analysis. 307-314 - Pietro Antonio Cicalese, Aryan Mobiny, Zahed Shahmoradi, Xiongfeng Yi, Chandra Mohan, Hien Van Nguyen:
Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. 315-324 - Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
Measuring Domain Shift for Deep Learning in Histopathology. 325-336 - Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Dingyi Hu, Shujiao Sun, Jun Shi, Chenghai Xue:
Stain Standardization Capsule for Application-Driven Histopathological Image Normalization. 337-347 - Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak:
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. 348-357 - Haijun Lei, Shaomin Liu, Ahmed Elazab, Xuehao Gong, Baiying Lei:
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. 358-370 - Håkan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby:
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. 371-380 - Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Vanda Almeida, Ruud Vlutters, David Halter, Peter J. K. Kuppen, Cornelis J. H. van de Velde, Reinhold Wimberger-Friedl:
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome. 381-392 - Leslie Solorzano, Carla Pereira, Diana Martins, Raquel Almeida, Fátima Carneiro, Gabriela M. Almeida, Carla Oliveira, Carolina Wählby:
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides. 393-402 - Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. 403-411 - Romain Mormont, Pierre Geurts, Raphaël Marée:
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. 412-421 - Sebastian Stenman, Dmitrii Bychkov, Hakan Kücükel, Nina Linder, Caj Haglund, Johanna Arola, Johan Lundin:
Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma. 422-428 - Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Li Yu, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. 429-440 - Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko:
COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network. 441-452 - Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen:
Emotion Recognition From Multi-Channel EEG via Deep Forest. 453-464 - Laura Susana Vargas-Valencia, Felipe B. A. Schneider, Arnaldo G. Leal-Junior, Pablo Caicedo-Rodríguez, Wilson Alexander Sierra Arévalo, Luis Eduardo Rodríguez Cheu, Teodiano Freire Bastos-Filho, Anselmo Frizera-Neto:
Sleeve for Knee Angle Monitoring: An IMU-POF Sensor Fusion System. 465-474 - Souvik Phadikar, Nidul Sinha, Rajdeep Ghosh:
Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold. 475-484 - Han Zhang, Rui Li, Xiaotong Wen, Qing Li, Xia Wu:
Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform. 485-492 - Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. 493-503 - Jiali Shi, Rong Zhang, Lijun Guo, Linlin Gao, Huifang Ma, Jianhua Wang:
Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation. 504-513 - Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu:
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. 514-525 - Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images. 526-535 - Seunghyun Lee, Jiwon Kim, Sung Woon Park, Sang-Man Jin, Sung-Min Park:
Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation. 536-546 - Ann-Kathrin Seifert, Martin Grimmer, Abdelhak M. Zoubir:
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis. 547-558 - Gina Sprint, Diane J. Cook, Roschelle Fritz:
Behavioral Differences Between Subject Groups Identified Using Smart Homes and Change Point Detection. 559-567 - Abul Barkat Mollah Sayeed Ud Doulah, Tonmoy Ghosh, Delwar Hossain, Masudul H. Imtiaz, Edward Sazonov:
"Automatic Ingestion Monitor Version 2" - A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images. 568-576 - Tao Zhang, Zhonghui Jiang, Dan Li, Xiao Wei, Bing Guo, Wu Huang, Guobiao Xu:
Sleep Staging Using Plausibility Score: A Novel Feature Selection Method Based on Metric Learning. 577-590 - Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Automatically Assessing Quality of Online Health Articles. 591-601 - Monay Mokhtar Shoushan, Bersain Alexander Reyes, Aldo R. Mejía-Rodríguez, Jo Woon Chong:
Non-Contact HR Monitoring via Smartphone and Webcam During Different Respiratory Maneuvers and Body Movements. 602-612
Volume 25, Number 3, March 2021
- Daiana Caroline dos Santos Gomes, Ginalber Luiz de Oliveira Serra:
Machine Learning Model for Computational Tracking and Forecasting the COVID-19 Dynamic Propagation. 615-622 - Ali Moin, Arno Thielens, Álvaro Araujo, Alberto L. Sangiovanni-Vincentelli, Jan M. Rabaey:
Adaptive Body Area Networks Using Kinematics and Biosignals. 623-633 - Md. Mobashir Hasan Shandhi, William H. Bartlett, James Alex Heller, Mozziyar Etemadi, Aaron J. Young, Thomas Plötz, Omer T. Inan:
Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. 634-646 - Xinyu Jiang, Haoran Ren, Ke Xu, Xinming Ye, Chenyun Dai, Edward A. Clancy, Yuan-Ting Zhang, Wei Chen:
Quantifying Spatial Activation Patterns of Motor Units in Finger Extensor Muscles. 647-655 - Ryan S. McGinnis, Ellen W. McGinnis, Christopher J. Petrillo, Jonathan Ferri, Jordyn Scism, Matthew Price:
Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. 656-662 - Jing Liu, Shirong Qiu, Ningqi Luo, Sze-Kei Lau, Hui Yu, Timothy Kwok, Yuan-Ting Zhang, Ni Zhao:
PCA-Based Multi-Wavelength Photoplethysmography Algorithm for Cuffless Blood Pressure Measurement on Elderly Subjects. 663-673 - Ahmad Rezaei, Mahta Khoshnam, Carlo Menon:
Towards User-Friendly Wearable Platforms for Monitoring Unconstrained Indoor and Outdoor Activities. 674-684 - Rohit Bose, Kaniska Samanta, Sudip Modak, Soumya Chatterjee:
Augmenting Neuromuscular Disease Detection Using Optimally Parameterized Weighted Visibility Graph. 685-692 - Wei-Dong Dang, Zhongke Gao, Dongmei Lv, Xinlin Sun, Chichao Cheng:
Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue. 693-700 - Amit Kumar, Anoop Kant Godiyal, Pradeep Joshi, Deepak Joshi:
A New Force Myography-Based Approach for Continuous Estimation of Knee Joint Angle in Lower Limb Amputees and Able-Bodied Subjects. 701-710 - Yan Zhao, Baoqiang Ma, Pengbo Jiang, Debin Zeng, Xuetong Wang, Shuyu Li:
Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network. 711-719 - Tianyu Fu, Jingfan Fan, Dingkun Liu, Hong Song, Chaoyi Zhang, Danni Ai, Zhigang Cheng, Ping Liang, Jian Yang:
Divergence-Free Fitting-Based Incompressible Deformation Quantification of Liver. 720-736 - Zhengrong Luo, Zhongdao Jia, Zhimin Yuan, Jialin Peng:
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation. 737-745 - Mohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models. 746-754 - Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. 755-763 - Jian Zheng, Haotian Sun, Shandong Wu, Ke Jiang, Yunsong Peng, Xiaodong Yang, Fan Zhang, Ming Li:
3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. 764-773 - Zhe Li, Yong Xia:
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images. 774-783 - Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian:
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. 784-796 - Michal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski:
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks. 797-805 - Kanghan Oh, Il-Seok Oh, Van Nhat Thang Le, Dae-Woo Lee:
Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection. 806-817 - Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. 818-826 - Zahra Shakeri Hossein Abad, David M. Maslove, Joon Lee:
Predicting Discharge Destination of Critically Ill Patients Using Machine Learning. 827-837 - Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos:
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. 838-849 - Xian Teng, Sen Pei, Yu-Ru Lin:
StoCast: Stochastic Disease Forecasting With Progression Uncertainty. 850-861 - Prosanta Gope, Youcef Gheraibia, Sohag Kabir, Biplab Sikdar:
A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process. 862-873 - Fatemeh Mansoori, Maseud Rahgozar, Kaveh Kavousi:
A Pathway Analysis Approach Using Petri Net. 874-880 - Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu:
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. 881-890 - Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang:
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. 891-899
Volume 25, Number 4, April 2021
- Nan Ji, Ting Xiang, Paolo Bonato, Nigel H. Lovell, Sze-Yuan Ooi, David A. Clifton, Metin Akay, Xiao-Rong Ding, Bryan P. Yan, Vincent C. T. Mok, Dimitrios I. Fotiadis, Yuan-Ting Zhang:
Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic. 903-908 - Jia Liu, Zhen-Ni Guo, David M. Simpson, Pandeng Zhang, Chang Liu, Jia-Ning Song, Xinyi Leng, Yi Yang:
A Data-Driven Approach to Transfer Function Analysis for Superior Discriminative Power: Optimized Assessment of Dynamic Cerebral Autoregulation. 909-921 - Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach:
Human Activity Recognition Based on Dynamic Active Learning. 922-934 - Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi:
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. 935-946 - Aleksandra Rashkovska, Roman Trobec:
Framework for Personalized Real-Time Control of Hidden Temperature Variables in Therapeutic Knee Cooling. 947-958 - Anoop Kant Godiyal, Deepak Joshi:
Optimal Force Myography Placement For Maximizing Locomotion Classification Accuracy in Transfemoral Amputees: A Pilot Study. 959-968 - Mingliang Chen, Qiang Zhu, Min Wu, Quanzeng Wang:
Modulation Model of the Photoplethysmography Signal for Vital Sign Extraction. 969-977 - Yamin Li, Wen Shi, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Zehong Cao, Gang Wang:
Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis. 978-987 - Dong Cui, Yuexin Cai, Guangzheng Yu:
A Graphical-User-Interface-Based Azimuth-Collection Method in Autonomous Auditory Localization of Real and Virtual Sound Sources. 988-996 - Houde Dai, Guoen Cai, Zhirong Lin, Zengwei Wang, Qinyong Ye:
Validation of Inertial Sensing-Based Wearable Device for Tremor and Bradykinesia Quantification. 997-1005 - Cristhyne León, Guy Carrault, Patrick Pladys, Alain Beuchée:
Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability. 1006-1017 - Seungman Yang, Jangjay Sohn, Saram Lee, Joonnyong Lee, Hee Chan Kim:
Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open Databases. 1018-1030 - Zongyang Xia, Md. Mobashir Hasan Shandhi, Yinghao Li, Omer T. Inan, Ying Zhang:
The Delineation of Fiducial Points for Non-Contact Radar Seismocardiogram Signals Without Concurrent ECG. 1031-1040 - Ling Xiao, Qian Zhang, Kun Xie, Chunxia Xiao:
Online MECG Compression Based on Incremental Tensor Decomposition for Wearable Devices. 1041-1051 - Runnan He, Yang Liu, Kuanquan Wang, Na Zhao, Yongfeng Yuan, Qince Li, Henggui Zhang:
Automatic Detection of QRS Complexes Using Dual Channels Based on U-Net and Bidirectional Long Short-Term Memory. 1052-1061