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19th BIOSTEC 2026: Marbella, Spain - Volume 1: BIOSIGNALS
- Janina Bahnemann, Sebastian J. F. Fudickar, Francesco Mercaldo, Jordi Solé-Casals, Hui Liu, Eleni Kaldoudi, Hugo Gamboa:

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2026, Marbella, Spain, March 2-4, 2026, Volume 1: BIOSIGNALS. SCITEPRESS 2026, ISBN 978-989-758-802-0
Invited Speakers
- Antonio Lanatà:

From Signals to Meaning: Biosignals as a Language for Health, Emotion, and Connection. BIOSTEC 2026: 3 - Kavitha Anandan, S. Pravin Kumar, Divya Balathayil, S. Saranya, S. Raja Lakshmi:

Extended Reality in Healthcare. 5-15 - Tim Hahn:

AI in Medicine: Progress, Perils, and Perspectives. BIOSTEC 2026: 17 - Pedro Gómez-Vilda:

Neuro-Acoustic Intelligence: A Unified Phonation-Encephalography Framework for Multi-Disorder Monitoring via Explainable AI. BIOSTEC 2026: 19
Papers
- Swathi Senthil, Szymon Fedor, Boyu Zhang, Viswam Nathan, Robert Stickgold, Rosalind W. Picard:

Associations between Circadian Sleep Alignment, Sleep Regularity, and Wellbeing: Evidence from Wearable Device Data. 25-34 - Pedro Gómez-Vilda, Andrés Gómez-Rodellar, Jirí Mekyska, Daniel Palacios-Alonso:

Phonation Encephalographic Bands in Parkinson's Disease. 35-44 - Neville Mathew, Yidan Shen, Renjie Hu, Maham Rahimi, George Zouridakis:

Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods. 45-55 - Norman Pfeiffer, Toni Wachter, Joan R. Bausells, Abdelhamid Errachid, Albert Heuberger:

Real-Time Predetermination of Excitation Frequencies for Optimizing Electrochemical Impedance Spectroscopy. 56-64 - Athanasios Georvassilis, Dimitrios Platakis, George Manis:

Evaluating the Vector Based Selection Algorithm for Sample Entropy Estimation on FHR Time Series with Missing Data. 65-70 - Sue Si-Qi Gao, Tong Liang, Zhe Sun, Cesar F. Caiafa, Jordi Solé-Casals:

A Cross-Modality Comparison between Structural and Functional Brain Connectivity and Individual Differences in Intelligence. 71-79 - Elizaveta Kompaniets, Steven Le Cam, Radu Ranta:

Improving Feature Extraction for Spike Sorting Using a Custom Loss Function for an Autoencoder. 80-86 - Himanshu Sharma, Pradip K. Das:

CAAM-Net: A Chrono-Acoustic Attention MobileNet for Snore-Based Sleep Apnea Screening. 87-93 - Chijing Wang, Ryota Nitto, Yuki Ban, Miki Nakai, Junichi Shimizu, Tomoyoshi Ashikaga, Shin'ichi Warisawa:

Differential Contributions of Physiological Features across Early, Mid and Late Sleep Phases to Next Morning Cognitive Performance. 94-106 - Gonçalo Barros, Sara Santos, Phillip Probst, Hugo Gamboa:

Supervised Human Activity Recognition in Office Environments Using Trapezius-Mounted Accelerometers. 107-118 - Francisco Javier Maldonado Carrascosa, José Enrique Muñoz Expósito, Sebastián García Galán, Francisco Jesús Cañadas-Quesada, Adam Marchewka, José Ranilla Pastor:

QT Interval Estimation by Denoising Electrocardiogram Signals. 119-128 - Inês A. Gonçalves, Inês Silveira

, Sem Hoogteijling, Irene Heijink, Maeike Zijlmans, Luís Silva
, Hugo Gamboa:
Probabilistic Detection of Interictal Epileptiform Discharges. 129-139 - Lourenço Abrunhosa Rodrigues, Markus Wenzel, Felix Putze:

Controlled Large Scale Synthetic Motion Dataset Generation Leveraging Text-to-Motion and Sample-Wise Quality Assurance. 140-150 - Ákos Antal, Péter Földesy, Péter Mihajlik:

Detecting Infant Cries in Noisy NICU Recordings: A Study on SSL Models. 151-159 - Abu Saleh Khan, Areen Ramesh Patil, Nipun Verma, Prakrititz Borah, Sakshi Arora:

Stress Detection from Consumer-Grade ECG Device Using GA Optimization and Segment-Wise Analysis. 160-171 - Jiayi Hu, Yuki Ban, Shin'ichi Warisawa:

Multimodal Estimation of Chronic Stress Using Physiological Signals and Cognitive Task Performance. 172-183 - Eduardo Monteiro, Diogo Marcelo Nogueira, Elsa Ferreira Gomes

:
A Comparative Study of Deep Learning Approaches for Leishmania Detection in Microscopic Images. 184-191 - Carolina Amante, Catarina Consolado, Gabriel Pires, Ana Rita Londral, Cláudia Quaresma:

Modular Framework for Comparative Analysis of EMG Detection Methods: Application to Wearable Interfaces for Persons with Motor Neuron Diseases. 192-200 - Judith Urbina-Córdoba, Shuning Han, Zhe Sun, Ryutaro Himeno, David Arcos, Jordi Solé-Casals:

Fall Risk Classification in Older Adults Using Wearable IMU Data: A Comparative Study of Validation Strategies and Model Complexity. 201-212 - J.-Ph. Conge, Vincent Vigneron, Hichem Maaref, Leonardo Tomazeli Duarte:

Consensus Ranking via Entropy-Based Multi-Objective Optimization: Application of Selection of Biomarker Candidates. 215-222 - Attila Zoltán Jenei, Dávid Sztahó, Gábor Kiss:

Possibilities to Improve Dementia Classification through Data Balancing Using Augmentation by Synonym Replacement. 223-230 - Sergey V. Bozhokin, Irina B. Suslova:

Wavelet Analysis of non-Stationary Heart Rate Variability During Functional Tests. 231-238 - Aurélia Leandri, Louis Lecrosnier, Adel Ghazel, Bastien Faure-Brac:

SIMUS-Based Modeling for Radial Artery Ultrasound Characterization. 239-246 - Fahad Layth Malallah, Kamran Iqbal:

Predicting Signs of Problematic Internet Use to Analyze Children's Health Using Machine Learning. 247-254 - Faustine Faccin, El-Hadi Djermoune, Pauline Guyot, Laurent Bougrain:

A Two-Stage Cascaded Ensemble Based on CRNN and Markov Chain for Sleep Apnea Detection Using ECG. 255-262 - A. H. Ahamada, Aurélien Hazan, Hichem Maaref, Tahir Q. Syed, Vincent Vigneron:

Tensor Decomposition-Driven Variational Autoencoder: Biomarker-Aware OCT Classification. 263-270 - Redona Brahimetaj, Sofia Yfantidou, Maarten Gijssel, Vangelis Lympouridis, Silvia Zaccardi, Bart Jansen:

Fully Convolutional Denoising Autoencoder with Skip Connections for Noise Reduction in (Simulated) Respiratory RIP Signals. 271-280 - Pietro Tarchi, Lorenzo Frassineti, Lucrezia Bigagli, Valeria Pitterà, Antonio Lanatà:

Temporal Dynamics of Functional Connectivity During Neuroaesthetic Experience: Effects of Art Expertise and Psychological Traits. 281-288 - Mageda A. A. Sharafeddin, Adam Abdel Karim, Nour Harajli, Marwa Zeineddine, Abbass Rammal:

Auto-Encoder Powered Genetic Algorithm-Based Dimensionality Reduction and Classification of in Situ Mid-Infrared Markers for Strawberry Maturity. 289-297 - Minoru Nakayama

, Wioletta Nowak, Anna Zarowska:
Waveform Similarity Analysis of the Pupil Light Reflex for Detecting Dementia Symptoms. 298-304 - Aysenur Arslan-Dogan, Aki Härmä:

Counting without Seeing: Toward Acoustic Population Estimation from Unsupervised Audio Features. 305-311 - Rafia Ahsan, Sofia Vargas Ibarra, Vincent Vigneron, Hichem Maaref, Sonia Garcia-Salicetti:

Fully Automated Recanalization Prediction in Ischemic Stroke Patients Using Multimodal MRI. 312-319 - George Manis:

Formal Grammar Based Syntactic Analysis of Heart Sounds. 330-337 - Kimia Rezaei, Sean R. Mathieson, Gordon Lightbody, Geraldine B. Boylan, William P. Marnane:

Investigating the Applicability of ECG Signals for Neonatal Seizure Detection Using ECG Spectrograms and CNN-ViT. 338-346 - Sandra Ranilla-Cortina, Luciano Sánchez, José Ranilla, Alejandro Antonio Salvador-Navarro, Jose R. Gutierrez:

Detecting Cardiac and Respiratory Rhythms in Few-Second Auscultation Audio with Group Monte Carlo Singular Spectrum Analysis. 347-354 - Francesco Iacomi, Alessandro Elia, Gabriele Furnari, Harman Kaur, Andrea Farabbi, Riccardo Barbieri, Luca T. Mainardi:

Validation of an Imagined Speech Stimulation Protocol and EEG Investigation of Neurophysiological Differences between Rest and Imagined Speech. 355-362 - Lenaïg Guého, Laurent Bougrain, Cyril Plapous, Patrick Hénaff, Rozenn Nicol:

Assessing Stimuli Detectability and Pleasantness for Auditory BCI. 363-370 - Yuke Zheng, Long Yu, Ruishi Zhou, Yuchen Hu, Hongwei Wang, Hui Liu, Xuesong Ye, Congcong Zhou:

Influence of Multi-Wavelength Sensor Array Design on Signal Stability and Application in Blood Pressure Detection. 371-375 - Saumarí Negrón-Santos, Charlie Montes-Rivera, Juan González-Sánchez, Keven J. Laboy-Juárez:

Open-Source Control PCB for Automated Behavioral Biomarker Acquisition. 376-382 - Emmanuel de Jesús Velásquez-Martínez, Miguel Ángel Porta-García:

DA-NN: A ResNet-Based Architecture with Domain Adaptation for Automatic EEG Artifact Identification. 383-391 - Diogo Pessoa, João Garcia, Juan De La Torre Cruz, Francisco J. Cañadas-Quesada, Rui Pedro Paiva:

Automated Diagnosis of Respiratory Diseases from Respiratory Sounds: A Reproducibility Case Study. 392-397 - Amulya J. Naik, Anagha Madhusoodhana, Anagha Vyakarnam, Aritro Maiti, Gowri Srinivasa:

Neuro-Acoustic Fusion: EEG Biomarkers and Deep Audio Embeddings for Music-Evoked Emotion Recognition. 398-405 - Aisa Sadat Takyar, Beren Semiz:

Quantitative EEG Biomarkers for Cognitive Decline: A Comparative Study of Frontotemporal Dementia and Alzheimer's Disease. 406-413 - Muhammet Aksakal, Beren Semiz:

Gender- and Channel-Specific Electroencephalography Markers for Attention Deficit Hyperactivity Disorder Assessment. 414-420 - Elvin Güngör, Beren Semiz:

Comparative Evaluation of Rule-Based and Machine Learning Models for EEG-Based Psychological Stress Detection. 421-426 - Seyed Amir Tabatabaei Hosseini, Dunya Moradi, Beren Semiz:

Multi-Method Signal Decomposition Reveals Neural Network Disruption in Claustrophobia: A Multi-Scale Connectivity Analysis. 427-434 - Dunya Moradi, Kardelen Akar, Hussein Youssef, Ayse Altintas, Atay Vural, Beren Semiz:

Differentiating between Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder Using IMU-Measured Spatiotemporal Gait Characteristics. 435-443 - Sutashu Tomonaga, Andres Hernandez-Matamoros, Haruo Mizutani, Kenji Doya:

Opportunistic Teacher Forcing: Training RNNs on Wearable Signals with Inherent Missing Data. 444-451 - Lavinia Goldermann

, Pascal Raabe
, Markus J. Lüken, Steffen Leonhardt, André Stollenwerk:
Anomaly Detection in cECG Data Using Unsupervised Learning. 452-456 - Simon Fonck, Lavinia Goldermann

, Sebastian Fritsch, Lena Olivier, André Stollenwerk:
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis. 457-464 - Laura Valente, Cláudia Quaresma, Carla Quintão:

Multimodal Analysis of Human Movement Patterns Using a Smart Wearable T-Shirt and Force Platform. 465-472 - Miriam Allalouf, Tali Bitan, Lior Ketz, Eva Kimel, Safa Natsheh, Ilana S. Hairston:

Differentiating Pre-REM and Post-REM N2 Sleep Stage Using Machine Learning Models. 473-481 - Jovana Kuzmanovic Pficer, Zorana Bukvic, Lazar Krstic, Filip Milanovic, Dejan Nikolic:

Comparison of the Accuracy and Reliability of Artificial Intelligence and Human Assessment in the Diagnosis of Flatfoot in the Younger Population. 482-489 - Mauro Aloisio Smaniotto, Fabio Kurt Schneider, Heitor Silvério Lopes:

A Machine Learning-Based System for Human Movement Analysis. 490-498 - Andrio Ramos dos Santos, Mauro Aloisio Smaniotto, Fabio Kurt Schneider:

Image-Based Evaluation System for Paraná State Military Physical Fitness Test: Pull-Ups. 499-506 - Tarcisio Maico Goncalves Da Silva

, Lucas Daniel Ortiz Arias, Mauro Aloisio Smaniotto, Fabio Kurt Schneider:
Image-Based Evaluation System for Paraná State Military Physical Fitness Test: Push-Ups. 507-514 - Óscar Barquero-Pérez, Rebeca Goya-Esteban, Antonio Luque-Casado, D. Grassi, F. Suárez:

Gender and Age Modulate the Diving Reflex: Quantifying Bradycardia Dynamics and Autonomic Shifts via HRV and Exponential Modeling. 515-519 - Aleksandar Jeremic, Dejan Nikolic, Goran Djuricic, Natasa Milcanovic, Z. Jokovic:

Estimating Brain Activity of Neonates Using Physics Informed Networks. 520-524 - Elena Botti, Redona Brahimetaj, Eva Swinnen, Bart Jansen:

A Comparative Evaluation of Open-Source Gait Event Detection Methods Using a Single Sacrum-Mounted IMU. 525-536 - Judith Urbina-Córdoba, Shuning Han, Zhe Sun, Ryutaro Himeno, David Arcos, Jordi Solé-Casals:

An Exploratory Study on SVM-Based Fall-Risk Classification Using Hybrid IMU-Derived and Clinical Features. 537-544 - Ester Muñoz del Campo, Carlos Pérez-López, Jordi Solé-Casals, Miriam Grande Gordon, Irene Gonzalo Asenjo, Lúa Márquez López, Marta Montesinos Terceño, Patricia Rodríguez-Sánchez:

Resting Surface Electromyography as an Indicator of Motor State in Parkinson's Disease. 545-552
Special Session on Design and Evaluation of Monitoring Systems
- Anna Katharina Hardenbicker

, Gabriele Bleser-Taetz, Dorian Oswaldo Mora Sanchez
:
User-Centred Design of a Cost-Efficient, Mobile, Machine Learning Based Seizure Detection Device. 557-565 - El Arbi Belfarsi, Henry Flores, Maria Valero, Valentina Nino, Katherine H. Ingram:

Calibration-Enhanced Multimodal Framework for Non-Invasive Glucose Monitoring: An In-Vivo Validation. 566-577 - Harald F. Franck, Emma Milford, Jacob Justad, Beata Jahangiri, Sogeta Al-Bazi, Eunji Lee:

OPAT@Home: A Patient-Centered Digital Tool to Support Confident IV Treatment at Home. 578-587 - Nina Pearl Doe, Christian Herglotz:

Multi-Protocol Redundancy and Adaptive Sampling for Safety-Critical IoT Communication Using Clinical ECG Monitoring as Case Study. 588-597
Workshop on Advancing Digital Women{\textquoteright }s Health
- Laura Wagon:

Scaling Gender-Responsive Digital Health in the European Union: A Policy Commentary. 603-613 - Marinja Principe, Stefanie Krohmann, Tobias Kowatsch, Marcia Nißen:

From Workaround to Centerpiece: Translating Lived Experience into Perimenopause-Focused Menstrual Health Technologies. 614-628 - Marcia Nißen, Maren Mauerhofer, Davinny Sou, Tobias Kowatsch:

From Menstrual Cycle Tracking to Menstrual Cycle Syncing: A Scoping Review of Cycle Phase Effects on Lifestyle Behaviors. 629-644 - Gian Senpinar, Larissa Shuyin Moser-Chee, Marcia Nißen:

Enhancing Menstrual Health Research through User-Centred Digital Data Structures: Findings from a Researcher Needs Study. 645-655 - Rebecca Scheel

:
When the User Is Female but the Design Is not: A Systematic Review of Gender Alignment in Digital Eating Disorder Interventions. 656-667 - Lavinia Moretti, Sophie Paci, Davinny Sou, Tobias Kowatsch, Marcia Nißen:

Menstrual Cycle Tracking at Scale: Scientific Evidence behind the Top 15 Funded Digital Menstrual Tracking Companies. 668-680 - Rasita Vinay, Tobias Kowatsch:

An Ethical Approach to Co-Designing Scalable Digital Health Interventions for Vulnerable Populations. 683-690 - Alina Liebich, Lucia Mauz, Tobias Kowatsch:

Barriers to Implementing and Scaling Wearable Technologies in Women's Health: Perspectives from a Gynaecologist in Switzerland. 691-697
Special Session on The emerging Dual-imaging systems (PET/MRI, PET/CT, MR/CT) in healthcare, advantages, challenges, and future application
- Xiaohong W. Gao, Chia-Hui Chien, Guan-Lin Liu, Amja Manullang:

Towards Prediction of Brain Tumour Responses after Intervention Based on 3D MR T2 Images. 703-708 - Kishore Krish, Sivakumar Duraisamy, Jyh-Cheng Chen:

Attenuation Correction in Preclinical PET/MRI Imaging Using Denoising Diffusion Probabilistic Models with Multi-Loss Optimization. 709-716 - Rumeth Payagalage, Prasan Yapa:

Generative Augmentation of Anatomical-Functional Imaging for Rare Lung Cancer Subtype Classification. 719-724
Special Session on Responsible AI in Healthcare Information Systems and Technology
- Andreea Ancuta Corici, Kalpana Chaudhary, Benny Häusler, Martin Hocquel-Hans, Nils Lahmann, Hemant Zope, Marius Corici, Mareike Jansen, Simone Kuntz:

Chronic Wound Assessment Solution with Secure Communication and Explainability as Key Enablers. 729-738 - Thiago Q. Oliveira, Leandro A. Carvalho, Flávio R. C. Sousa, João B. F. Filho:

Using Responsible AI for Prediction Applied to a Brazilian Dataset on Sepsis. 739-748 - Chenyang Ding, João Paulo Ponciano:

Semantic Web Knowledge Graphs for Patient-Centred Healthcare: A Systematic Review and Design Framework. 751-760 - Tahir Hameed, Andrew Tollison, Lisa Perks:

Assessing the Trustworthiness of AI-Generated Online Health Information: Toward a Socio-Technical Framework and System. 761-770 - Mahmoud Elbattah, Federica Cilia:

Designing Guardrails to Align LLM-Generated Social Scenarios with the Needs of Autistic Learners. 771-777 - Daniel Bhola, Syed Ahmad Chan Bukhari:

A Systematic Literature Review of Generative AI Approaches for Synthetic Clinical Data Generation: Balancing Realism and Privacy. 778-785
Special Session on Federated and Trustworthy AI solutions for Predicting Clinical Outcomes: From Theory to Real-World Clinical Impact
- Prasan Yapa, Ashala Senanayake, Zilu Liang:

How Interpretable Are LLMs? A Multi-Metric Framework for Evaluating Synthetic Explanations in Digital Mental Health. 791-802 - Shqipe Salii, Mennan Selimi, Markus Graf:

Towards Federated Breast Microcalcification Analysis: Validating Segmentation Stability on Kaapana Using Synthetic Phantoms. 803-809 - Luis Marte, Oier Segura, Judith Recober, Laura Rivera-Sanchez, Carlos A. Molina, Carolina Migliorelli:

Explainable AI for Post-Stroke Recurrence Prediction: A Random Forest Dashboard for Personalized Risk Profiles. 810-819 - Andrea Protani, Riccardo Taiello, Marc Molina Van De Bosch, Luigi Serio:

Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability. 820-828 - Francesco Pastore, Marco Di Gennaro, Stefano Zanero, Michele Carminati:

A Study on the Security Risks of Model Sharing in Federated Learning Systems. 829-837

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