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ORCID42nd EMBC 2020: Montreal, QC, Canada
- 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020. IEEE 2020, ISBN 978-1-7281-1990-8
- Marcel Böttrich, Daniel Laqua
, Peter Husar:
Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Synchronous Averaging*. 1-4 - Frédéric Stucky, Giacomo Cazzaniga, Andrea Aliverti, Bengt Kayser, Barbara Uva:
Automating the correction of flow integration drift during whole-body plethysmography. 5-8 - Krishna Chaitanya Patchava, Mohammed Benaissa, Shuzhi Sam Ge:
Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectra. 9-12 - Noushin Jafarpisheh, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming*. 13-16 - Yannick D'Mello, James Skoric, Siddiqui Hakim, Ezz Aboulezz, Nathan Clairmonte, Michel A. Lortie, David V. Plant:
Identification of the Vibrations Corresponding with Heart Sounds using Vibrational Cardiography. 17-20 - Yuhang Xu, Dongmei Hao, Dingchang Zheng:
Analysis of Electrohysterographic Signal Propagation Direction during Uterine Contraction: the Application of Directed Information. 21-25 - Yuri Antonacci, Luca Faes, Laura Astolfi:
Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. 26-29 - Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Marcos Revilla-Vallejo, Víctor Gutiérrez-de Pablo, Víctor Rodríguez-González, Aaron Maturana-Candelas, Roberto Hornero:
Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum. 30-33 - Alejandro Gomez, Olga Lucía Quintero, Natalia M. Lopez Celani, Luisa F. Villa:
Emotional Networked maps from EEG signals*. 34-37 - Shuguan Cheng, Mengmeng Li, Haifei Yu, Kun Zhao, Shuo Liu, Hong Wan:
Decoding Pigeon Behavior Outcomes during Goal-directed Decision Task by WSR Functional Network Analysis*. 38-41 - Zian Pei, Tao Xu, Anastasios Bezerianos, Junhua Li, Yu Sun, Hongtao Wang:
The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG Study. 42-45 - Filip Plesinger, Josef Halámek, Jan Chládek, Pavel Jurák, Irena Dolezalova, Jan Chrastina, Milan Brazdil:
Response to Vagal Stimulation by Heart-rate Features in Drug-resistant Epileptic Patients*. 46-49 - Catherine Stamoulis:
A Spectral Clustering Approach for the Classification of Waveform Anomalies in High-Dimensional Brain Signals. 50-53 - Shadi Ghiasi, Andrea Patanè, Alberto Greco, Luca Laurenti, Enzo Pasquale Scilingo, Marta Z. Kwiatkowska:
Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition. 54-57 - Lan Wei, Soraia Ventura, Madeleine M. Lowery, Mary Anne Ryan, Sean Mathieson, Geraldine B. Boylan, Catherine Mooney:
Random Forest-based Algorithm for Sleep Spindle Detection in Infant EEG. 58-61 - Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li:
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. 62-65 - Haruko Yagura, Hiroki Tanaka, Taiki Kinoshita, Hiroki Watanabe, Shunnosuke Motomura, Katsuhito Sudoh, Satoshi Nakamura:
Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronization. 66-69 - Sajila D. Wickramaratne, Md Shaad Mahmud:
Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis. 70-73 - Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto:
Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. 74-77 - Justin Gerolami, Amoon Jamzad, Sijia Li, Sharareh Bayat, Purang Abolmaesumi, Parvin Mousavi:
Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study. 78-81 - Albert S. W. Kang, Anton J. Enright:
Locating patterns in Nanopore currents using time-warped signal representation of consensus nucleotides for demultiplexing and motif detection. 82-86 - Mark Robinson, Lei Lu, Ying Tan, Kusal Goonewardena, Denny Oetomo, Chris Manzie:
Enabling context aware data analysis for long-duration repetitive stooped work through human activity recognition in sheep shearing. 87-90 - Giulia Rocco, Pierluigi Reali, Riccardo Lolatto, Giulia Tacchino, Marco Mandolfo, Alessandra Mazzola, Anna M. Bianchi:
Exploration of the physiological response to an online gambling task by frequency domain analysis of the electrodermal activity. 91-94 - Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers:
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach. 95-98 - Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Deep transfer learning for improving single-EEG arousal detection. 99-103 - Laura Gschwandtner, Manfred Martin Hartmann, Lisa Oberdorfer, Franz Fürbass, Katrin Klebermaß-Schrehof, Tobias Werther, Nathan J. Stevenson, Gerhard Gritsch, Hannes Perko, Angelika Berger, Tilmann Kluge, Vito Giordano:
Deep learning for estimation of functional brain maturation from EEG of premature neonates. 104-107 - Su Zhang, Cuntai Guan:
Emotion Recognition with Refined Labels for Deep Learning. 108-111 - Nizar Islah, Jamie Koerner, Roman Genov, Taufik A. Valiante, Gerard O'Leary:
Machine Learning with Imbalanced EEG Datasets using Outlier-based Sampling. 112-115 - Wai-Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan:
EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU. 116-119 - Guan-Yen Chen, Chih-Mao Huang, Ho-Ling Liu, Shwu-Hua Lee, Tatia Mei-Chun Lee, Chemin Lin, Shun-Chi Wu:
Depression Scale Prediction with Cross-Sample Entropy and Deep Learning. 120-123 - Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Spatio-temporal deep learning for EEG-fNIRS brain computer interface. 124-127 - Xiaowei Zhang, Junlei Li, Kechen Hou, Bin Hu, Jian Shen, Jing Pan:
EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism. 128-133 - Konstantinos Patlatzoglou, Srivas Chennu, Olivia Gosseries, Vincent Bonhomme, Audrey Wolff, Steven Laureys:
Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural Networks. 134-137 - Nooshin Bahador, Kristo Erikson, Jouko Laurila, Juha Koskenkari, Tero Ala-Kokko, Jukka Kortelainen:
Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing. 138-141 - Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain:
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. 142-145 - Andreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum:
Predicting Age with Deep Neural Networks from Polysomnograms. 146-149 - Tom H. G. F. Bakkes, Roel J. H. Montree, Massimo Mischi, Francesco Mojoli, Simona Turco:
A machine learning method for automatic detection and classification of patient-ventilator asynchrony. 150-153 - Sajila D. Wickramaratne, Md Shaad Mahmud:
Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings. 154-157 - Lingfeng Li, Richard A. Paris, Conner Pinson, Yan Wang, Joseph R. Coco, Jamison Heard, Julie A. Adams, Daniel Fabbri, Bobby Bodenheimer:
Emergency Clinical Procedure Detection With Deep Learning. 158-163 - Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. 164-167 - Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart Sounds. 168-171 - Minmin Zhang, Changchun Pan, Haichun Liu, Qinting Zhang, Haozhe Li:
An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data. 172-175 - Xiao Tang, Maoqi Chen, Xun Chen, Xiang Chen, Xu Zhang:
Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation. 176-179 - Tariq Aiman Saifuzzaman, Khuan Y. Lee, Afaf Rozan Mohd Radzol, Peng Shyan Wong, Irene Looi:
Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS Spectra. 180-183 - David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. 184-187 - Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon:
Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks. 188-191 - Weijian Huang, Li Wang, Zhenxiong Yan, Yanjun Liu:
Classify Motor Imagery by a Novel CNN with Data Augmentation. 192-195 - Milan Rybár, Ian Daly, Riccardo Poli:
Potential pitfalls of widely used implementations of common spatial patterns. 196-199 - Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli:
Inter-subject correlations during natural viewing: A filter-bank approach. 200-203 - Daniel Uher, Petr Klimes, Jan Cimbalnik, Robert Roman, Martin Pail, Milan Brazdil, Pavel Jurák:
Stereo-electroencephalography (SEEG) reference based on low-variance signals. 204-207 - Ebrahim Nemati, Md. Mahbubur Rahman, Viswam Nathan, Korosh Vatanparvar, Jilong Kuang:
A Comprehensive Approach for Classification of the Cough Type. 208-212 - Hok Y. S. Chiu, Christopher J. James:
Introducing a Deflationary Approach to Space-Time ICA that uses temporal methods in Brain Signals Processing. 213-216 - Gan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang:
Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recording. 217-220 - Nathan Clairmonte, James Skoric, Yannick D'Mello, Siddiqui Hakim, Ezz Aboulezz, Michel A. Lortie, David V. Plant:
Neural Network-based Classification of Static Lung Volume States using Vibrational Cardiography. 221-224 - Anjulie S. Agrusa, Alexis B. Allegra, David C. Kunkel, Todd P. Coleman:
Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings. 225-231 - Yu-Chiao Tsai, Shih-Hsuan Lai, Ching-Ju Ho, Fang-Ming Wu, Lindor Henrickson, Chia-Chien Wei, Irwin Chen, Vincent Wu, Jyehong Chen:
High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression. 232-235 - Sai Bharadwaj Appakaya, Ravi Sankar:
Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVM. 236-239 - Shokhrukh Baydadaev, Saidrasul Usmankhujaev, Jangwoo Kwon, Kyusung Kim:
Impulse Classification Network for Video Head Impulse Test. 240-243 - Gaurav Shalin, Scott Pardoel, Julie Nantel, Edward D. Lemaire, Jonathan Kofman:
Prediction of Freezing of Gait in Parkinson's Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural Network. 244-247 - Bing Zou, Mu Shen, Xinhang Li, Yubo Zheng, Lin Zhang:
EEG-based Driving Fatigue Detection during Operating the Steering Wheel Data Section. 248-251 - Mu Shen, Bing Zou, Xinhang Li, Yubo Zheng, Lin Zhang:
Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection. 252-255 - Yuling Li, Shasha Xiao, Yingjie Li, Yunxia Li, Banghua Yang:
Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG. 256-259 - Seong-Eun Moon, Jong-Seok Lee:
MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment. 260-263 - Deniz Kocanaogullari, Jennifer Mak, Jessica Kersey, Aya Khalaf, Sarah Ostadabbas, George F. Wittenberg, Elizabeth Skidmore, Murat Akçakaya:
EEG-based Neglect Detection for Stroke Patients. 264-267 - Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura:
Sequential Attention-based Detection of Semantic Incongruities from EEG While Listening to Speech. 268-271 - Adrian L. Ashley, Mahnaz Arvaneh:
Improving EEG-based error detection using relative peak features. 272-275 - Tuuli Uudeberg, Laura Päeske, Hiie Hinrikus, Jaanus Lass, Maie Bachmann:
Reliability of Electroencephalogram-Based Individual Markers - Case Study. 276-279 - Susmit Bhowmik, Mohammod Abdul Motin, Marc Sarossy, Peter J. Radcliffe, Dinesh Kant Kumar:
Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometry. 280-283 - George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari:
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. 284-287 - Connor Lennox, Md Shaad Mahmud:
Robust Classification of Cardiac Arrhythmia Using a Deep Neural Network. 288-291 - Po-Ya Hsu, Chung-Kuan Cheng:
Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing. 292-295 - Fan Cao, Aamani Budhota, Chen Hao, Kuldeep Singh Rajput:
Feature matching based ECG generative network for arrhythmia event augmentation. 296-299 - Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. 300-303 - Ming Chen, Guijin Wang, Zijian Ding, Jiawei Li, Huazhong Yang:
Unsupervised Domain Adaptation for ECG Arrhythmia Classification. 304-307 - Tianjie Lan, Qihan Hu, Xin Liu, Kaiyue He, Cuiwei Yang:
Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data Augmentation. 308-311 - Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio:
A faster approach to ECG analysis in emergency situations. 312-315 - Yibo Gao, Huan Wang, Zuhao Liu:
A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention Mechanism. 316-319 - Laura Cabrera Quiros, Gabriele Varisco, Zhuozhao Zhan, Xi Long, Peter Andriessen, Eduardus J. E. Cottaar, Carola van Pul:
Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care Units. 320-323 - Delaram Jarchi, Ales Procházka, Saeid Sanei:
A New Spectrum Driven Index for the Assessment of ECG Signal Quality. 324-327 - Mahdi Shamsi, Tohid Yousefi Rezaii, Soosan Beheshti:
MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. 328-331 - Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah:
A Graph-constrained Changepoint Detection Approach for ECG Segmentation. 332-336 - Vignesh Kalidas, Lakshman S. Tamil:
Detection of Premature Ventricular Complexes using Semisupervised Autoencoders and Random Forests. 337-340 - Mostafa Ali Shahin, Ethan Oo, Beena Ahmed:
Adversarial Multi-Task Learning for Robust End-to-End ECG-based Heartbeat Classification. 341-344 - Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. 345-348 - Kaiyue He, Gaoyan Zhong, Xiaoman Ding, Cuiwei Yang:
Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS Onset. 349-352 - Jing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang:
Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG. 353-356 - Chen Hao, Sandi Wibowo, Kuldeep Singh Rajput:
Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG Analysis. 357-360 - Ylva Wahlquist, Klaske van Heusden, Guy Albert Dumont, Kristian Soltesz:
Individualized closed-loop anesthesia through patient model partitioning. 361-364 - Keiichiro Inagaki, Seiya Imanaka:
Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge Detection. 365-368 - Berj L. Bardakjian, Ziling Zhu, Jianan Li, Xinming Huang, Chenyun Dai, Carlos H. Martinez Luna, Benjamin E. McDonald, Todd R. Farrell, Edward A. Clancy:
Efficiently Training Two-DoF Hand-Wrist EMG-Force Models. 369-373 - Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation. 374-377 - Muhammad Ali, Neda Sharifi, Nicholas McGrath, Michael J. Cree, Yifan Chen:
Self-Regulated and Co-ordinated Smart Tumor Homing for Complex Vascular Networks. 378-381 - Marta Carrara, Arianna Niccolò, Antoine Herpain, Manuela Ferrario:
Reducing tachycardia in septic shock patients: do esmolol and ivabradine have a chronotropic effect only? 382-385 - Takagi Ryunosuke, Taiga Matsuda, Keiichiro Inagaki:
Roles of the Cerebellar Interneurons on Vestibulo-Ocular Reflex Motor Learning: A Computational Study. 386-389 - M. N. Afzal Khan, M. Raheel Bhutta, Keum-Shik Hong:
Effect of stimulation duration to the existence of initial dip. 390-393 - Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani:
Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. 394-397 - Dylan Mann Krzisnik, Georgios D. Mitsis:
Modeling BOLD-fMRI Hemodynamics via Multidimensional Decomposition of Electrophysiology Data: A Simulation Study. 398-401 - Farah Nassif, Tohid Yousefi Rezaii, Soosan Beheshti:
Pole-Zero REM Modeling with Application in EEG Artifact Removal. 402-405 - Amina Ghrissi, Douglas Almonfrey, Rafael Costa de Almeida, Fabien Squara, Johan Montagnat, Vicente Zarzoso:
Data Augmentation for Automatic Identification of Spatiotemporal Dispersion Electrograms in Persistent Atrial Fibrillation Ablation Using Machine Learning. 406-409 - Giorgio Luongo, Luca Azzolin, Massimo Walter Rivolta, Roberto Sassi, Juan Pablo Martínez, Pablo Laguna, Olaf Dössel, Andrew Lowe:
Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations. 410-413 - Vasanth Ravikumar, Elena G. Tolkacheva:
Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. 414-417 - Hongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang:
A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities. 418-421 - Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. 422-425 - Javier Saiz-Vivo, Valentina D. A. Corino, Mirko De Melis, Luca T. Mainardi:
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data. 426-429 - Pegah Aarabi, Parham Aarabi:
The Impact of Electrode Density and Precision on Brain-Computer Interfaces. 430-433 - Ayman M. Anwar, Ayman M. Eldeib:
EEG Signal Classification Using Convolutional Neural Networks on Combined Spatial and Temporal Dimensions for BCI Systems. 434-437 - Maria Sayu Yamamoto, Khadijeh Sadatnejad, Toshihisa Tanaka, Md. Rabiul Islam, Yuichi Tanaka, Fabien Lotte:
Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering. 438-441 - Soroosh Shahtalebi, Amir Asif, Arash Mohammadi:
Siamese Neural Networks for EEG-based Brain-computer Interfaces. 442-446 - Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama:
Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. 447-450