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BSICoS
  • Research lines
    • MODELING AND SIMULATION
    • ARRHYTHMIA RISK IDENTIFICATION
    • ECG-BASED RISK ASSESSMENT IN AF
    • INTRACARDIAC EGM
    • AUTONOMIC NERVOUS SYSTEM
    • RESPIRATORY SYSTEM
    • IN-VITRO MODELING
    • WEARABLE DEVICES
    • NEURAL INTERFACES
    • GENETICS OF CARDIOVASCULAR RISK
    • ARTIFICIAL INTELLIGENCE
    • EXPERIMENTAL ELECTROPHYSIOLOGY
  • Projects
    • ALL
    • INDUSTRY
    • MODELING AND SIMULATION
    • ARRHYTHMIA RISK IDENTIFICATION
    • ECG-BASED RISK ASSESSMENT IN AF
    • INTRACARDIAC EGM
    • AUTONOMIC NERVOUS SYSTEM
    • RESPIRATORY SYSTEM
    • IN-VITRO MODELING
    • WEARABLE DEVICES
    • NEURAL INTERFACES
    • GENETICS OF CARDIOVASCULAR RISK
    • ARTIFICIAL INTELLIGENCE
    • EXPERIMENTAL ELECTROPHYSIOLOGY
  • Team
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  • Projects

    NON-INVASIVE RISK ASSESSMENT IN ATRIAL FIBRILLATION

Clinically-guided data processing methods and in silico models to improve patient stratification and therapy response in cardiac and neurological disorders: PID2022-140556OB-I00

Clinically-guided data processing methods and in silico models to improve patient stratification and therapy response in cardiac and neurological disorders: PID2022-140556OB-I00

Multi-disciplinary, multi-sectoral and multi-national training network on digital biomarkers for supraventricular arrhythmia characterization and risk assessment. 101119941 (Call HORIZON-MSCA-2022-DN-01)

Multi-disciplinary, multi-sectoral and multi-national training network on digital biomarkers for supraventricular arrhythmia characterization and risk assessment. 101119941 (Call HORIZON-MSCA-2022-DN-01)

Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization (DIGICARDIO) – TED2021-130459B-I00

Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization (DIGICARDIO) – TED2021-130459B-I00

Consulting services for basic physiologic features

Consulting services for basic physiologic features

Finished

Fighting atrial fibrillation by acting on the signals that reach the heart from the nervous system

Biomarkers for Early Detection of Atrial Fibrillation Phase in Strenuous Exercise-Induced Atrial Cardiomyopathy: Prevention of Pafiyama Syndrome

MY-ATRIA: MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression

Towards improved management of cardiovascular diseases by integrative in silico-in vitro-in vivo research into hearts structure, function and autonomic regulation – PID2019-105674RB-I00

Physiology-driven signal analysis for guiding cardiac arrhythmia management and therapy – PID2019-104881RB-I00

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Address

Campus Río Ebro
C/ Mariano Esquillor, S/N
50018 Zaragoza, Spain

Contact

Email: bsicos@unizar.es
Phone: +34 876 555 651

Links

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  • I3A
  • Universidad de Zaragoza

© 2025 BSICOS is part of:

Aragón Institute of Engineering Research (I3A)

Centro de Investigación Biomédica en Red - Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)