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BSICoS
  • Líneas de investigación
    • 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
  • Proyectos
    • Todos
    • 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
  • Investigadores
  • Publicaciones
  • Resources
  • Noticias
  • Ofertas de empleo
  • Proyectos

    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

Post List #1

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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Dirección

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

Contacto

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

Enlaces

  • Notas legales
  • 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)