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ORCID43rd EMBC 2021: Mexico
- 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021. IEEE 2021, ISBN 978-1-7281-1179-7
- María Magdalena Damián-Chávez, Paola Estefania Ledesma-Coronado, Mariana Drexel-Romo, David Ibarra-Zarate, Luz María Alonso-Valerdi:
How Does Environmental Noise Impact Collaborative Activities at the Main Library of Tecnologico de Monterrey? 7-10 - Norberto E. Naal-Ruiz, Luz María Alonso-Valerdi, David Ibarra-Zarate:
Different Headphone Models Modulate Differently Alpha and Theta Brain Oscillations When Listening to the Same Sound. 11-14 - Johnathan Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov:
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening. 15-18 - Xiaochen Wang, Mingxing Zhu, Oluwarotimi Williams Samuel, Zijian Yang, Lin Lu, Xingxing Cai, Xin Wang, Shixiong Chen, Guanglin Li:
A Pilot Study on the Performance of Time-Domain Features in Speech Recognition based on high-density sEMG. 19-22 - Laura I. Bogatu, Simona Turco, Massimo Mischi, Lars Schmitt, Pierre Woerlee, Erik Bresch, Gerrit Jan Noordergraaf, Igor Paulussen, R. Arthur Bouwman
, Hendrikus H. M. Korsten, Jens Muehlsteff:
Modulation of pulse travel and blood flow during cuff inflation- An experimental case study. 23-26 - Yalin Wang, Wei Chen:
A modified phase transfer entropy for cross-frequency directed coupling estimation in brain network. 27-30 - Jia Wen Li, Shovan Barma, Sio-Hang Pun, Fei Chen, Cheng Li, Ming Tao Li, Pan Ke Wang, Mang I Vai, Peng Un Mak:
EEG-based Emotion Recognition Using Similarity Measure of Brain Rhythm Sequencing. 31-34 - Suguru Kanoga, Tomoumi Takase, Takayuki Hoshino, Hideki Asoh:
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping. 35-38 - Jorge A. Ramírez Castillo, Juan M. Chau:
Cognitive performance drop detection during daily activities using EEG. 39-42 - Dongdong Zhou, Qi Xu, Jian Wang, Jiacheng Zhang, Guoqiang Hu, Lauri Kettunen, Zheng Chang, Fengyu Cong:
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. 43-46 - Hui Wang, Holly B. Jimison, Misha Pavel:
Reducing Motion Artifacts of Pulse Intervals from Photoplethysmogram of a Commercial Wristband for Heart Rate Variability Analysis. 47-51 - Lorenzo Frassineti, Antonio Lanatà, Claudia Manfredi:
HRV analysis: a non-invasive approach to discriminate between newborns with and without seizures*. 52-55 - Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano:
A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique. 56-59 - Abuzar Ahmad Qureshi, Lu Wang, Tomoaki Ohtsuki, Kazunari Owada, Naoki Honma, Hayato Hayashi:
An Autoencoder-Based Fetal Heart Rate Detector for Noninvasive Recordings. 60-63 - Shun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro:
Attack on PPG Biometrics: Presentation Attack by Stealth Recording and Waveform Estimation. 64-67 - Kun Qian, Tomoya Koike, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto:
Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. 68-71 - Gary Garcia Molina:
A model characterizing the coupling between slow-wave activity, instantaneous heart rate and heart rate variability during sleep*. 72-75 - Minh C. Tran, Douglas C. Crockett, Arun Joseph, Federico Formenti, Phi Anh Phan, Stephen J. Payne, Andrew D. Farmery:
Lung simulation to support non-invasive pulmonary blood flow measurement in Acute Respiratory Distress Syndrome in animals*. 76-79 - Truc Nguyen, Franz Pernkopf:
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks. 80-83 - Monay Mokhtar Shoushan, Bersain Alexander Reyes, Aldo Mejia Rodriguez, Jo Woon Chong:
Contactless Heart Rate Variability (HRV) Estimation Using a Smartphone During Respiratory Maneuvers and Body Movement. 84-87 - Jui-Kun Chiu, Chun-Shun Chang, Shun-Chi Wu:
ECG-based Biometric Recognition without QRS Segmentation: A Deep Learning-Based Approach. 88-91 - Pingting Lin, Yanmei Zhu, Xinlin Zhou, Yi Bai, Haixian Wang:
Neural Dissociations between Magnitude Processing of Fractions and Decimals. 92-95 - Anju Malik, Abdel-Rahman B. M. El-Daly, Leanne Lai Hang Chan:
Phase-amplitude modulation during critical period plasticity in mouse visual cortex. 96-99 - Marianne Boyer, Laurent J. Bouyer, Jean-Sébastien Roy, Alexandre Campeau-Lecours:
A Real-Time Algorithm to Estimate Shoulder Muscle Fatigue Based on Surface EMG Signal For Static and Dynamic Upper Limb Tasks. 100-106 - Yufeng Zhou, Jing You, Fengjun Zhu, Anatol Bragin, Jerome Engel, Lin Li:
Automatic Electrophysiological Noise Reduction and Epileptic Seizure Detection for Stereoelectroencephalography. 107-112 - Binh P. Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan:
Clustering and Feature Analysis of Smartphone Data for Depression Monitoring. 113-116 - Tianli Xie, Kun Chen, Li Ma, Qingsong Ai, Quan Liu, Andrew E. Hudson:
Brain Connectivity Analysis in Anesthetized and Awake States: an ECoG Study in Monkeys. 117-120 - Sofija Spasojevic, Antenor Rodrigues, Kimia Mahdaviani, W. Darlene Reid, Alex Mihailidis, Shehroz S. Khan:
Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal. 121-124 - Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar:
Gated Transformer for Decoding Human Brain EEG Signals. 125-130 - Changjie Pan, Ying-Hui Lai, Fei Chen:
The Effects of Classification Method and Electrode Configuration on EEG-based Silent Speech Classification. 131-134 - Sergi Gómez-Quintana, Ihor Shelevytsky, Victoriya Shelevytska, Emanuel M. Popovici, Andriy Temko:
Automatic segmentation for neonatal phonocardiogram. 135-138 - Yang Hong, Hongling Zhu, Xiaoyun Yang, Cheng Cheng, Ye Yuan:
A Novel Cluster-Based Method for Single-channel Fetal Electrocardiogram Detection. 139-143 - Po-Ya Hsu, Po-Han Hsu, Tsung-Han Lee, Hsin-Li Liu:
Motion Artifact Resilient SCG-based Biometric Authentication Using Machine Learning. 144-147 - Li Wang, Yue Yang, Steven Su:
Nonparametric Modelling Based Model Predictive Control for Human Heart Rate Regulation during Treadmill Exercise. 148-151 - Wenzheng Qiu, Banghua Yang, Jun Ma, Shouwei Gao, Yan Zhu, Wen Wang:
The Paradigm Design of a Novel 2-class Unilateral Upper Limb Motor Imagery Tasks and its EEG Signal Classification. 152-155 - Keyvan Farhang Razi, Alexandre Schmid:
Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection. 156-159 - Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Unsupervised Approach for the Identification of the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals. 160-163 - Villads Hulgaard Joergensen, Umaer Hanif, Poul Jennum, Emmanuel Mignot, Asbjoern W. Helge, Helge B. D. Sørensen:
Automatic Segmentation to Cluster Patterns of Breathing in Sleep Apnea. 164-168 - Daniela M. Zolezzi, Luz María Alonso-Valerdi, Norberto E. Naal-Ruiz, David Ibarra-Zarate:
Identification of Neuropathic Pain Severity based on Linear and Non-Linear EEG Features. 169-173 - Boudewijn van den Berg, Tom Berfelo, Elisa M. H. Verhoeven, Imre P. Krabbenbos, Jan Reinoud Buitenweg:
Combining Psychophysical and EEG Biomarkers for Improved Observation of Altered Nociceptive Processing in Failed Back Surgery Syndrome. 174-177 - Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada:
Verification of Normalization Method to Improve Usability and Versatility among Users of Applications that Predict Continuous Motion Using Electromyography. 178-181 - Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes:
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. 182-185 - Maurício Cagliari Tosin, Leia B. Bagesteiro, Alexandre Balbinot:
Actor-Critic Reinforcement Learning Based Algorithm for Contaminant Type Identification in Surface Electromyography Data*. 186-189 - Fatima Al-Khuzaei, Leen Al Homoud, Dana Alyafei, Reza Tafreshi, Md Ferdous Wahid:
Development of Machine-Learning Algorithms for Recognition of Subjects' Upper Limb Movement Intention Using Electroencephalogram Signals. 190-193 - Saeed Jahromi, Margherita A. G. Matarrese, Eleonora Tamilia, M. Scott Perry, Joseph R. Madsen, Phillip L. Pearl, Christos L. Papadelis:
Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children with Refractory Epilepsy. 194-197 - Alessandra Camassa, Maurizio Mattia, Maria V. Sanchez-Vives:
Energy-Based Hierarchical Clustering of Cortical Slow Waves in Multi-Electrode Recordings. 198-203 - Rafael Correia, J. Miguel Sanches, Luca T. Mainardi:
Error perception classification in Brain-Computer Interfaces using CNN. 204-207 - Nadia Aloui, Anne Planat-Chretien, Stéphane Bonnet:
Artefact subspace reconstruction for both EEG and fNIRS co-registred signals. 208-211 - Kris van Noord, Wenjin Wang, Hailong Jiao:
Insights of 3D Input CNN in EEG-based Emotion Recognition. 212-215 - Fernando Vaquerizo-Villar, Daniel Álvarez, Jan F. Kraemer, Niels Wessel, Gonzalo C. Gutiérrez-Tobal, Eva Calvo, Félix del Campo, Leila Kheirandish-Gozal, David Gozal, Thomas Penzel, Roberto Hornero:
Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks. 216-219 - Vasily Grigorovsky:
Phase-Amplitude Coupling Features Accurately Classify Multiple Sub-States Within a Seizure Episode. 220-223 - Cheng Wang, Xin Wang, Mingxing Zhu, Yao Pi, Xiaochen Wang, Feng Wan, Shixiong Chen, Guanglin Li:
Spectrum power and brain functional connectivity of different EEG frequency bands in attention network tests. 224-227 - Christodoulos Kechris, Anastasios Delopoulos:
RMSSD Estimation From Photoplethysmography and Accelerometer Signals Using a Deep Convolutional Network. 228-231 - Wei-Yu Chiu, Liang-Yu Chen, Hung-Ming Chi, Tzu-Chien Hsiao:
Toward instantaneous frequency of respiration to investigate the risk of internet gaming disorder. 232-235 - Vassilis D. Tsakanikas, Dimitrios Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data. 236-239 - Shengjia Du, Qi Yu, Wei Dai, Verity M. McClelland, Zoran Cvetkovic:
Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation. 240-244 - Soonhyun Yook, Yizhan Miao, Claire Park, Hea Ree Park, Jinyoung Kim, Diane C. Lim, Eun Yeon Joo, Hosung Kim:
Predicting brain age based on sleep EEG and DenseNet. 245-248 - Rana Zia Ur Rehman, Lynn Rochester, Alison J. Yarnall, Silvia Del Din:
Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning. 249-252 - Lam Pham, Huy Phan, Alexander Schindler, Ross King, Alfred Mertins, Ian McLoughlin:
Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. 253-256 - Paolo Castiglioni, Gianfranco Parati, Andrea Faini:
Multifractal and Multiscale Detrended Fluctuation Analysis of Cardiovascular Signals: how the Estimation Bias Affects ShortTerm Coefficients and a Way to mitigate this Error. 257-260 - Julia Y. H. Liu, John A. Rudd, Peng Du:
A pipeline for phase-based analysis of in vitro micro-electrode array recordings of gastrointestinal slow waves. 261-264 - Vojtech Travnicek, Pavel Jurák, Jan Cimbalnik, Petr Klimes, Pavel Daniel, Milan Brazdil:
Ultra-fast oscillation detection in EEG signal from deep-brain microelectrodes. 265-268 - Yongfeng Huang, Tianchen Jin, Chenxi Sun, Xueyang Li, Shuchen Yang, Zhiming Zhang:
Efficient J Peak Detection From Ballistocardiogram Using Lightweight Convolutional Neural Network*. 269-272 - Xuen Hoong Kok, Syed Anas Imtiaz, Esther Rodríguez-Villegas:
Towards Automatic Identification of Epileptic Recordings in Long-term EEG Monitoring. 273-276 - Sergi Gómez-Quintana, Grainne Cowhig, Marco Borzacchi, Alison O'Shea, Andriy Temko, Emanuel M. Popovici:
An EEG analysis framework through AI and sonification on low power IoT edge devices. 277-280 - Chen Du, Sarah Graham, Colin Depp, Truong Nguyen:
Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization. 281-285 - Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel Tavares Coimbra:
Do we really need a segmentation step in heart sound classification algorithms? 286-289 - Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, Michal Javorka, Alessandro Busacca, Luca Faes:
Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability *. 290-293 - Luyao Zhu, Yongjian Zhao, Yuting Shen, Feng Gao, Li Liu, Fei Gao:
Photoacoustic Characterization of Cortical and Cancellous Bone in The Vertebrae. 294-297 - Wenjun Huang, Murtaza Bulut, Ron van Lieshout, Kiran H. J. Dellimore:
Exploration of using a pressure sensitive mat for respiration rate and heart rate estimation*. 298-301 - Razieh Faghihpirayesh, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. 302-305 - Yi Ding, Nigel Wei Jun Ang, Aung Aung Phyo Wai, Cuntai Guan:
Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks. 306-310 - Eduardo Hernandez-de la Cruz, Sonia Charleston-Villalobos, Tomás Aljama-Corrales, Bersain Alexander Reyes:
Simultaneous Estimation of Instantaneous Heart and Respiratory Rates using Image Photoplethysmography on a Single Smartphone. 311-314 - Pablo Núñez, Víctor Rodríguez-González, Víctor Gutiérrez-de Pablo, Carlos Gómez, Yoshihito Shigihara, Hideyuki Hoshi, Roberto Hornero, Jesús Poza:
Effect of segment length, sampling frequency, and imaging modality on the estimation of measures of brain meta-state activation: an MEG/EEG study. 315-318 - Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. 319-324 - Seishiro Goto, Ryo Natsuaki, Akira Hirose:
Proposal of higher-order tensor independent component analysis for signal separation in multiple-input multiple-output respiration/heartbeat remote sensing*. 325-328 - Sébastien Naze, Jianbin Tang, James R. Kozloski, Stefan Harrer:
Features importance in seizure classification using scalp EEG reduced to single timeseries. 329-332 - Velu Prabhakar Kumaravel, Victor Javier Kartsch, Simone Benatti, Giorgio Vallortigara, Elisabetta Farella, Marco Buiatti:
Efficient Artifact Removal from Low-Density Wearable EEG using Artifacts Subspace Reconstruction. 333-336 - Mario Corral Bolaños, Sheyla Barrado Ballestero, Sadasivan Puthusserypady:
Filter bank approach for enhancement of supervised Canonical Correlation Analysis methods for SSVEP-based BCI spellers. 337-340 - Gorana Mijatovic, Yuri Antonacci, Luca Faes:
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. 341-344 - Pedro Faustino, Jorge Oliveira, Miguel T. Coimbra:
Crackle and wheeze detection in lung sound signals using convolutional neural networks. 345-348 - Diogo Pessoa, Bruno Moraes Rocha, Grigorios-Aris Cheimariotis, Kostas Haris, Claas Strodthoff, Evangelos Kaimakamis, Nicos Maglaveras, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva:
Classification of Electrical Impedance Tomography Data Using Machine Learning. 349-353 - Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Can Heart Sound Denoising be Beneficial in Phonocardiogram Classification Tasksƒ. 354-358 - Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation. 359-364 - Xiaorong Ding, Wenjin Wang, Yifan Chen, Yumin Yang, Yan Zhao, Deyuan Kong:
Feasibility Study of Pulse Width at Half Amplitude of Camera PPG for Contactless Blood Pressure Estimation. 365-368 - Xinwen Liu, Huan Wang, Zongjin Li:
An Approach for Deep Learning in ECG Classification Tasks in the Presence of Noisy Labels. 369-372 - Michal Kozlowski, Sukhpreet Singh, Georgina Ramage, Esther Rodríguez-Villegas:
Effects of denoising strategies on R-wave detection in ECG analysis. 373-376 - Jiadao Zou, Qingxue Zhang:
eyeSay: Make Eyes Speak for ALS Patients with Deep Transfer Learning-empowered Wearable. 377-381 - Fiona Cheung, Phillip L. Pearl, Catherine Stamoulis:
Novel Seizure Biomarkers in Continuous Electrocardiograms from Pediatric Epilepsy Patients. 382-385 - Sebastian F. Ruf, Md Navid Akbar, Susan L. Whitfield-Gabrieli, Deniz Erdogmus:
Comparing Autoregressive and Network Features for Classification of Depression and Anxiety. 386-389 - Evangelos Papathomas, Andreas Triantafyllidis, Rafail-Evangelos Mastoras, Dimitrios Giakoumis, Konstantinos Votis, Dimitrios Tzovaras:
A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts. 390-394 - Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, Vangelis P. Oikonomou, Nikolaos A. Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris, Maria Panou, Andrei Dragomir, Anastasios Bezerianos:
Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach. 395-398 - Sandya Subramanian, Bryan Tseng, Riccardo Barbieri, Emery N. Brown:
Unsupervised Machine Learning Methods for Artifact Removal in Electrodermal Activity. 399-402 - Sarineh Keshishzadeh, Sarah Verhulst:
Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions. 403-407 - Ludovica Corona, Eleonora Tamilia, Joseph R. Madsen, Steven M. Stufflebeam, Phillip L. Pearl, Christos L. Papadelis:
Mapping Functional Connectivity of Epileptogenic Networks through Virtual Implantation. 408-411 - Juan Manuel Mayor Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers, Matthew D. Lerner, Giuseppe Riccardi:
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity. 412-415 - Zheng Peng, Ilde Lorato, Xi Long, Rong-Hao Liang, Deedee Kommers, Peter Andriessen, Ward Cottaar, Sander Stuijk, Carola van Pul:
Body Motion Detection in Neonates Based on Motion Artifacts in Physiological Signals from a Clinical Patient Monitor. 416-419 - Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina Dulantha Lalitharatne, Anjula C. De Silva, Simon Lind Kappel:
Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. 420-423 - Bahareh Salafian, Eyal Fishel Ben, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs. 424-429 - Hao Peng, Wenhao Lin, Guoqing Cai, Shoulin Huang, Yifan Pei, Ting Ma:
DW-FBCSP: EEG emotion recognition algorithm based on scale distance weighted optimization. 430-433 - Natsuho Niida, Lu Wang, Tomoaki Ohtsuki, Kazunari Owada, Naoki Honma, Hayato Hayashi:
Fetal Heart Rate Detection Using First Derivative of ECG Waveform and Multiple Weighting Functions. 434-438 - Tomás Vicar, Jaromir Gumulec, Radim Kolár, Jirí Chmelík, Jiri Navratil, Larisa Chmelíková, Vratislav Cmiel, Ivo Provaznik, Michal Masarik:
Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. 439-442 - Tomohiko Igasaki, Yugo Kuramura, Junya Takemoto:
Motor Imagery, Execution, and Observation Classification using Small Amount of EEG Data with Multiple Two-Class CNNs. 443-446 - Joana M. Warnecke, Nicolai Boeker, Nicolai Spicher, Ju Wang, Maximilian Flormann, Thomas M. Deserno:
Sensor Fusion for Robust Heartbeat Detection during Driving. 447-450 - Sandeep Avvaru, Nicole R. Provenza, Alik S. Widge, Keshab K. Parhi:
Decoding Human Cognitive Control Using Functional Connectivity of Local Field Potentials. 451-454 - Zongjin Li, Huan Wang, Xinwen Liu:
A One-Dimensional Siamese Few-Shot Learning Approach for ECG Classification under Limited Data. 455-458 - Jerrin Thomas Panachakel, Kanishka Sharma, Anusha A. S, A. G. Ramakrishnan:
Can we identify the category of imagined phoneme from EEG? 459-462 - Clémentine Aguet, Jérôme Van Zaen, João Jorge, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay:
Feature Learning for Blood Pressure Estimation from Photoplethysmography. 463-466 - Agnese Sbrollini, Ilaria Marcantoni, Micaela Morettini, Cees A. Swenne, Laura Burattini:
Repeated Structuring & Learning Procedure for Detection of Myocardial Ischemia: a Robustness Analysis. 467-470 - Lorenzo Frassineti, Claudia Manfredi, Benedetta Olmi, Antonio Lanatà:
A Generalized Linear Model for an ECG-based Neonatal Seizure Detector. 471-474 - Zoe Dittman, Tamanna T. K. Munia, Selin Aviyente:
Graph Theoretic Analysis of Multilayer EEG Connectivity Networks. 475-479