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ORCID16th BIOSTEC BIOSIGNALS 2023: Lisbon, Portugal
- Ioanna Chouvarda, Ana Fred, Hugo Gamboa:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023, Volume 4: BIOSIGNALS, Lisbon, Portugal, February 16-18, 2023. SCITEPRESS 2023, ISBN 978-989-758-631-6
Invited Speakers
- Giovanni Saggio:
Towards the Virtual Human Simulator. 5-12 - Elazer Edelman:
Academia and Industry: Partners in Leveraging Engineering, Science and Medicine for Clinical Translation. BIOSTEC 2023: 13 - Mireille Hildebrandt
:
Ground-Truthing in the European Health Data Space. 15-22 - Riccardo Bellazzi:
Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges. BIOSTEC 2023: 23-24
Papers
- Rabya Bahadur, Saeed Ur Rehman:
Constrained ALS for Estimation of Human Upper Limb Synergies. 29-35 - Antonis Golfidis, Michael Vinos, Nikos Vassilopoulos, Eirini Papadaki, Irini Skaliora, Vassilis Cutsuridis:
Machine Learning Algorithms for Mouse LFP Data Classification in Epilepsy. 36-47 - Adrien Mialland, Ihab Atallah, Agnès Bonvilain:
Stylohyoid and Posterior Digastric Measurement with Intramuscular EMG, Submental EMG and Swallowing Sound. 48-54 - Alexander Woyczyk, Sebastian Zaunseder:
Impact of Body Position on Imaging Ballistocardiographic Signals. 55-65 - Alba Diaz-Martinez, Yiyao Ye-Lin, Rogelio Monfort-Ortiz, Javier Garcia-Casado, Iria Rey-Ferreira, Félix Nieto-del-Amor, Vicente Jose Diago-Almela, Jose L. Martinez-de-Juan, Gema Prats-Boluda:
Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods. 66-73 - Ricardo Cebola, Duarte Folgado, André V. Carreiro, Hugo Gamboa:
Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis. 74-85 - Stefania Coelli, Alessandra Calcagno, Federico Temporiti, Roberto Gatti, Manuela Galli, Anna M. Bianchi:
Event-Related Desynchronization Analysis During Action Observation and Motor Imagery of Transitive Movements. 86-93 - Farida Sabry, Wadha Labda, Tamer Eltaras, Fatima Hamza, Khawla Elzoubi, Qutaibah M. Malluhi:
Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring. BIOSIGNALS 2023: 94-105 - Jeremy Speth, Nathan Vance, Benjamin Sporrer, Lu Niu, Patrick J. Flynn, Adam Czajka:
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation. 106-117 - Iman A. Ismail, Ernest Nlandu Kamavuako:
Estimation of Fluid Intake Volume from Surface Electromyography Signals: A Comparative Study of Seven Regression Techniques. 118-124 - Gul Hameed Khan, Nadeem Ahmad Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
Using Sparse Representation of EEG Signal from a Shallow Sparse Autoencoder for Epileptic Seizure Prediction. 125-132 - João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, Ana Fred, Hugo Plácido da Silva:
Data Augmentation, Multimodality, Subject and Activity Specificity Improve Wearable Electrocardiogram Denoising with Autoencoders. 133-145 - Bethany K. Bracken, Aaron Winder, Brandon Hager, Mica R. Endsley, Elena Festa:
Assessing Situation Awareness (SA) Using Single- or Dual-Location functional Near Infrared Spectroscopy (fNIRS). 149-154 - Dimitrios Zografakis, Panagiotis Tsakanikas, Ioanna Roussaki, Konstantina-Maria Giannakopoulou:
AI and IoT Enabled Sleep Stage Classification. 155-161 - Hassan Ashraf, Olivier Brüls, Cédric Schwartz, Mohamed Boutaayamou:
Comparison of Machine Learning Algorithms for Human Activity Recognition. 162-169 - Aurora Rosato, Matilda Larsson, Eric Rullman, Seraina Anne Dual:
Spontaneous Cardiac-Locomotor Coupling in Healthy Individuals During Daily Activities. 170-177 - Pedro Veiga, Rui Varandas, Hugo Gamboa:
Machine Learning Algorithm Development and Metrics Extraction from PPG Signal for Improved Robustness in Wearables. 178-185 - Emilie Pattyn, Erika Lutin, Alex Van Kraaij, Nattapong Thammasan, D. Tourolle, Ilkka Kosunen, D. Tump, Walter De Raedt, Chris Van Hoof:
Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques. 186-194 - Rodrigo Duarte Braga, Daniel Osório, Hugo Gamboa:
Prediction of Sleep Stages Based on Wearable Signals Using Machine Learning Techniques. 195-202 - Mostafa Moussa, Yahya Alzaabi, Ahsan Khandoker:
Depression in Obstructive Sleep Apnea Patients: Is Using Complex Deep Learning Structures Worth It? 203-211 - Ecem Erin, Beren Semiz:
Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases. 212-219 - Cesar N. Silva, Fernanda F. Lopes, Jefferson A. Matos, Maria Cláudia Ferrari de Castro:
Arrythmia Classification Using MATLAB® Classification Learner App. 220-225 - Pedro Gómez, Jirí Mekyska, Lubos Brabenec, Patrik Simko, Irena Rektorová, Andrés Gómez, Victoria Rodellar:
Description of PD Phonation in Terms of EEG-Related Frequency Bands. 226-233 - João Paulo Soares, Vitor Barth, Alan Eckeli, Carlos Dias Maciel:
Hybrid Improved Physarum Learner for Structure Causal Discovery. 234-240 - Margarida Gouveia, Eduardo Castro, Ana Rebelo, Jaime S. Cardoso, Bruno Patrão:
Deep Minutiae Fingerprint Extraction Using Equivariance Priors. 241-251 - Raquel Simão, Marília Barandas, David Belo, Hugo Gamboa:
Study of Uncertainty Quantification Using Multi-Label ECG in Deep Learning Models. 252-259 - Andrea Farabbi, Luca T. Mainardi:
The Subspace Regularization Method Improves ErrP Detection by EEGNET in BCI Experiments. 260-264 - Maria Justino, Phillip Probst, Daniel Zagalo, Cátia Cepeda, Hugo Gamboa:
Multimodal Stress Classification Based on Biosignals Extracted from Smart Devices and Electromyography. 265-272 - Fábio Mendes, Phillip Probst, Eduarda Oliosi, Luís Silva, Cátia Cepeda, Hugo Gamboa:
Analysis of Postural Variability of Office Workers Using Inertial Sensors. 273-280 - Marcus Cheetham, Cátia Cepeda, Hugo Gamboa, Christoph Hoelscher, Seyed Abolfazl Valizadeh:
Automated Detection of Decision-Making Style, Based on Users' Online Mouse Pointer Activity. 281-286 - Ryota Ikedo, Kotaro Nagata, Kazuhiro Hotta:
Class-wise Knowledge Distillation for Lightweight Segmentation Model. 287-293 - Jose Albites-Sanabria, Pierpaolo Palumbo, Stefania Bandinelli, Luca Palmerini, Lorenzo Chiari:
Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring. 294-300 - Md Marufi Rahman, Jung-Hwan Oh, Wallapak Tavanapong, Piet C. de Groen:
Content Based Image Retrieval Using Depth Maps for Colonoscopy Images. BIOSIGNALS 2023: 301-308 - Lucía Rodríguez-Giraldo, Juan P. Ugarte:
Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling. 309-316 - Dimitris Fotopoulos, Dimitris Filos, Ekaterini Xinou, Ioanna Chouvarda:
Towards Lung Cancer Staging via Μultipositional Radiomics and Machine Learning. 317-324 - Mhd. Wasim Raed, Semih Yön, Ali Günes, Igor V. Kotenko, Elena Fedorchenko, Anna Polubaryeva:
An RFID Based Localization and Mental Stress Recognition System Using Wearable Sensors. 325-331 - Vincent Vigneron, Hichem Maaref:
A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics. 332-339 - Aleksandar Jeremic, Huaying Li:
Classification of HCI Datasets Using Information Fusion and Weighted Frechet Distance. 340-343 - Fábio Barros, António Teixeira, Samuel Silva:
Reflecting on the Status Quo of Nonverbal Human-Machine Interaction. 344-350 - Filip Malawski, Natalia Paruzel-Satlawa:
Heterogeneous Inertial Measurement Units in Motion Analysis. 351-358 - Utkars Jain, Adam A. Butchy, Michael T. Leasure, Veronica A. Covalesky, Daniel McCormick, Gary S. Mintz:
Redundancy and Novelty Between ECG Leads Based on Linear Correlation. 359-365 - Parisa Sattar, Giulia Baldazzi, Nicla Mandas, Elisa Casaglia, Michela Figorilli, Monica Puligheddu, Danilo Pani:
Parkinson and REM Sleep Behaviour Disorder: HRV Difference During Polysomnography. 366-370
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