Research
Projects

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Projects and research activities

BioMIT develops research projects across three complementary areas of biomedical engineering. In biosignal analysis, we design methods to record and interpret physiological data, particularly cardiovascular signals, and explore artificial intelligence and wearable monitoring. In energy based therapies, we model and evaluate technologies such as radiofrequency, microwave and laser ablation to understand their effects on tissue and improve treatment. In electroporation therapies, we investigate pulsed electric fields, electrode design and potential applications in cardiac arrhythmias and cancer.

These projects connect computational work, laboratory experiments and clinical collaboration. The selection below highlights recent and particularly relevant projects and funded research activities involving BioMIT members, ordered from newest to oldest. Each entry includes a short description, its reference, funding organization and years of activity.

  • 2026–2029

    “Retrograde atrophy induction: a paradigm shift in prostate and pancreatic cancer prevention and therapy” (Ref. 101258103).

    UPV principal investigator: Enrique Berjano.

    Investigates retrograde atrophy induction as a new approach to the prevention and treatment of prostate and pancreatic cancer.

    Funded by European Commission.

  • 2026–2028

    “MetaPulse: a next-generation electroporation platform for selective treatment of liver metastases” (Ref. LEO26-1-21110).

    Principal investigator: Ana González-Suárez.

    Develops an electroporation platform using flexible electrodes for the selective treatment of liver metastases.

    Funded by BBVA Foundation.

  • 2025–2028

    “Comprehensive pancreatic cancer treatment: innovative endoductal and transection techniques with RFA devices” (Ref. CPP2024-011438).

    UPV principal investigator: Enrique Berjano.

    Develops radiofrequency-ablation devices and techniques for endoductal treatment and tissue transection in pancreatic cancer.

    Funded by Spanish State Research Agency (AEI).

  • 2024–2029

    “Ramón y Cajal 2022 research fellowship” (Ref. RYC2022-036965-I).

    Principal investigators: Enrique Berjano and Ana González-Suárez. Fellowship holder: Ana González-Suárez.

    Supports Ana González-Suárez’s research career through a Ramón y Cajal fellowship.

    Funded by Spanish Ministry of Science, Innovation and Universities; Spanish State Research Agency (AEI); European Social Fund Plus (ESF+).

  • 2024–2027

    “Personalized cardiorespiratory monitoring during sleep: new artificial-intelligence solutions for the early detection of cardiovascular diseases” (Ref. CIAICO/2023/200).

    Principal investigator: José J. Rieta.

    Uses artificial intelligence to analyze breathing and heart activity during sleep and support earlier detection of cardiovascular disease.

    Funded by Generalitat Valenciana.

  • 2024–2025

    “Computational modeling of innovative technologies for real-time arrhythmia detection” (Ref. PII2024_115).

    Principal investigator: Ana González-Suárez.

    Uses computer models to investigate technologies capable of detecting abnormal heart rhythms in real time.

    Funded by Valencian International University (VIU).

  • 2023–2027

    “CERAPI: improving advanced ablative therapies by controlling tissue and cellular behavior using electromagnetic fields — UPV subproject” (Ref. PID2022-136273OB-C31).

    Principal investigators: Enrique Berjano and Juan José Pérez-Martínez.

    Combines modeling and experiments to improve control of tissue and cellular responses during electromagnetic ablation.

    Funded by Spanish State Research Agency (AEI).

  • 2023–2027

    “CERAPI: improving advanced ablative therapies by controlling tissue and cellular behavior using electromagnetic fields — VIU subproject” (Ref. PID2022-136273OA-C33).

    Principal investigators: Ana González-Suárez and Juan Francisco Gómez-García.

    Improves pulsed electric field ablation for the treatment of cardiac arrhythmias and breast and gastrointestinal cancers. It combines patient-specific computational modelling and mathematical optimization to optimize applicator design, energy delivery and ablation precision.

    Funded by Spanish State Research Agency (AEI).

  • 2023–2024

    “Heart-Save: developing a next-generation non-thermal treatment for cardiac arrhythmia” (Ref. 22/PATH-S/10719).

    Principal investigator: Ana González-Suárez.

    Develops a new non-thermal approach to treating cardiac arrhythmias.

    Funded by Science Foundation Ireland.

  • 2023–2024

    “Prevention of cardiovascular events” (Ref. AP2022_14).

    Principal investigator: José J. Rieta.

    Research aimed at preventing cardiovascular events and improving cardiovascular health.

    Funded by Universitat Politècnica de València (UPV).

  • 2022–2027

    “Artificial intelligence for innovative mobile medicine in cardiovascular diseases” (Ref. PID2021-123804OB-I00).

    Principal investigator: José J. Rieta.

    Develops artificial-intelligence methods for mobile health applications in the monitoring and management of cardiovascular disease.

    Funded by Spanish State Research Agency (AEI).

  • 2021–2023

    “Artificial intelligence to revolutionize mobile medicine using wearable devices” (Ref. AICO/2021/286).

    Principal investigator: José J. Rieta.

    Explores how artificial intelligence can turn measurements from wearable devices into useful information for mobile healthcare.

    Funded by Generalitat Valenciana.

  • 2021–2022

    “Multiparametric biosignal recording and analysis for evaluating stimulation therapies in patients with altered states of consciousness” (Ref. UPV-FISABIO-2020-A31).

    Principal investigator: José J. Rieta.

    Combines several biological signals to help assess how patients with disorders of consciousness respond to stimulation therapies.

    Funded by Universitat Politècnica de València (UPV).

  • 2019–2022

    “Modeling and experimentation for innovative ablative therapies” (Ref. RTI2018-094357-B-C21-AR).

    Principal investigators: Enrique Berjano and Macarena Trujillo Guillén.

    Uses modeling and experimental studies to develop and assess innovative tissue-ablation therapies.

    Funded by Spanish State Research Agency (AEI).

  • 2019–2021

    “Personalized diagnosis and catheter-ablation therapy for cardiac arrhythmias” (Ref. AICO/2019/036).

    Principal investigator: José J. Rieta.

    Studies patient-specific diagnostic and treatment methods to improve catheter ablation of abnormal heart rhythms.

    Funded by Generalitat Valenciana.

  • 2018–2021

    “Multicenter evaluation of the arrhythmogenic substrate in atrial-fibrillation patients for catheter ablation” (Ref. DPI2017-83952-C3-1-R).

    Principal investigator: José J. Rieta.

    Studies the atrial tissue and electrical activity that sustain atrial fibrillation to guide catheter-ablation treatment.

    Funded by Spanish State Research Agency (AEI).

  • 2018–2021

    “Atrial-substrate characterization by signal analysis to support catheter ablation for atrial fibrillation” (Ref. SBPLY/17/180501/000411).

    Principal investigator: Raúl Alcaraz Martínez.

    Uses cardiac signal analysis to characterize the atrial substrate and assist catheter-ablation procedures.

    Funded by Junta de Comunidades de Castilla-La Mancha — Department of Education, Culture and Sports.

  • 2018–2018

    “Biosignal processing to improve electrical cardioversion in atrial-fibrillation patients” (Ref. UPV-FISABIO-2017-002-928).

    Principal investigator: José J. Rieta.

    Analyzes biological signals to improve electrical cardioversion, the procedure used to restore a normal heart rhythm.

    Funded by Universitat Politècnica de València (UPV).

  • 2016–2019

    “Radiofrequency- and microwave-based technologies for minimally invasive surgery” (Ref. TEC2014-52383-C3-1-R-AR).

    Principal investigators: Enrique Berjano and Macarena Trujillo Guillén.

    Studies radiofrequency and microwave technologies for treating tissue through minimally invasive procedures.

    Funded by Spanish Ministry of Economy and Competitiveness (MINECO).

  • 2016–2018

    “Postdoctoral research fellowship: computational and experimental modeling for radiofrequency ablation techniques” (Ref. APOSTD/2016/045).

    Principal investigator: Enrique Berjano. Fellowship holder: Ana González-Suárez.

    Supports postdoctoral research combining computational and experimental methods to study radiofrequency ablation.

    Funded by Generalitat Valenciana.

  • 2016–2016

    “Toward a computational approach for personalized diagnosis and therapy of cardiac arrhythmias” (Ref. APE/2016/042).

    Principal investigator: José J. Rieta.

    Explores computational approaches to adapt the diagnosis and treatment of cardiac arrhythmias to individual patients.

    Funded by Generalitat Valenciana.

  • 2015–2017

    “Electroanatomic remodeling in cardiac arrhythmias: from research to tailored therapy” (Ref. TEC2014-52250-R-AR).

    Principal investigator: José J. Rieta.

    Quantifies electrical and anatomical changes associated with arrhythmias to support more personalized treatment.

    Funded by Spanish Ministry of Economy and Competitiveness (MINECO).

  • 2012–2015

    “Theoretical modeling and experimentation for energy-based ablative techniques” (Ref. TEC2011-27133-C02-01).

    Principal investigator: Enrique Berjano.

    Combines theoretical models and experiments to study how energy-based treatments destroy or modify biological tissue.

    Funded by Spanish Ministry of Science and Innovation (MICINN).

  • 2012–2013

    “Nephron-sparing partial nephrectomy: development of a laparoscopic device” (Ref. UPV-FE-5040).

    Principal investigator: Enrique Berjano.

    Develops a laparoscopic device for removing part of a kidney while preserving functioning renal tissue.

    Funded by Universitat Politècnica de València (UPV).

  • 2011–2015

    “Vali+d predoctoral research fellowship — Ana González-Suárez” (Ref. ACIF/2011/194).

    Principal investigator: Enrique Berjano. Fellowship holder: Ana González-Suárez.

    Supports Ana González-Suárez’s doctoral research training through the Vali+d program.

    Funded by Generalitat Valenciana.

  • 2011–2013

    “Theoretical and experimental models of radiofrequency ablation of liver tumors” (Ref. 1988).

    Principal investigator: Macarena Trujillo Guillén.

    Uses theoretical models and experiments to study radiofrequency heating for the ablation of liver tumors.

    Funded by Universitat Politècnica de València (UPV).

  • 2011–2013

    “Bipolar electrosurgical device for coagulation and cutting of biological tissue” (Ref. INNOVA11-01-5502).

    Principal investigator: Enrique Berjano.

    Develops a bipolar electrosurgical instrument for cutting tissue and controlling bleeding through coagulation.

    Funded by Universitat Politècnica de València (UPV).

  • 2011–2013

    “Nonlinear analysis and advanced organization estimation for atrial-fibrillation diagnosis and therapy” (Ref. PPII11-0194-8121).

    Principal investigator: Raúl Alcaraz Martínez.

    Applies nonlinear signal analysis to measure atrial-fibrillation organization and improve diagnostic and therapeutic assessment.

    Funded by Junta de Comunidades de Castilla-La Mancha — Department of Education and Science.

  • 2011–2013

    “Advanced organization estimators for therapeutic classification and follow-up in atrial fibrillation” (Ref. TEC2010-20633).

    Principal investigator: José J. Rieta.

    Develops measures of how organized atrial activity is, for treatment classification and follow-up of atrial-fibrillation patients.

    Funded by Spanish Ministry of Science and Innovation (MICINN).

  • 2009–2011

    “Robust non-invasive estimation of atrial-fibrillation organization using nonlinear methods” (Ref. PII2C09-0224-5983).

    Principal investigator: Raúl Alcaraz Martínez.

    Investigates nonlinear methods for measuring atrial-fibrillation organization reliably without invasive recordings.

    Funded by Junta de Comunidades de Castilla-La Mancha — Department of Education and Science.

  • 2009–2011

    “Computational and experimental investigation of surgical tissue heating by radiofrequency currents” (Ref. TEC2008-01369).

    Principal investigator: Enrique Berjano.

    Combines computer models and experiments to understand tissue heating during radiofrequency-based surgical procedures.

    Funded by Spanish Ministry of Science and Innovation.

  • 2008–2009

    “Linear and nonlinear methods for atrial-fibrillation analysis, stratification and prediction — UPV co-funding” (Ref. PAID-05-08-002-703).

    Principal investigator: José J. Rieta.

    Provides complementary UPV funding for combining linear and nonlinear methods to analyze and predict atrial-fibrillation behavior.

    Funded by Universitat Politècnica de València (UPV).

  • 2007–2010

    “Linear and nonlinear methods for atrial-fibrillation analysis, stratification and prediction” (Ref. TEC2007-64884).

    Principal investigator: José J. Rieta.

    Combines linear and nonlinear signal-processing methods to analyze, classify and predict atrial-fibrillation behavior.

    Funded by Spanish Ministry of Education and Science (MEC).

  • 2006–2007

    “Normal and premature atrial contractions to prevent postoperative supraventricular arrhythmias” (Ref. GV06/299).

    Principal investigator: José J. Rieta.

    Examines atrial contractions to identify information relevant to preventing arrhythmias after cardiac surgery.

    Funded by Generalitat Valenciana.

  • 2006–2007

    “Normal and premature atrial contractions to prevent postoperative supraventricular arrhythmias — UPV project” (Ref. PAID-05-06-002-1025).

    Principal investigator: José J. Rieta.

    Studies normal and premature atrial beats to help prevent supraventricular arrhythmias following cardiac surgery.

    Funded by Universitat Politècnica de València (UPV).

  • 2005–2007

    “Transparent real-time automatic equalization of acoustic spaces” (Ref. PPI-05-05-801-01).

    Principal investigator: José J. Rieta.

    Develops a system that automatically adjusts sound reproduction to the acoustic characteristics of a room in real time.

    Funded by Universitat Politècnica de València (UPV).

  • 2004–2006

    “Classification and characterization of atrial tachyarrhythmias using time–frequency distributions” (Ref. IIARC0/2004/249).

    Principal investigator: José J. Rieta.

    Uses time–frequency analysis to characterize and distinguish abnormal fast rhythms originating in the atria.

    Funded by Generalitat Valenciana.