Periodic Reporting for period 1 - VR-CARDIO (VISUALIZACIÓN DE BIOPOTENCIALES PARA EQUIPOS CARDIOLÓGICOS)
Periodo di rendicontazione: 2022-09-01 al 2023-06-30
The VR-CARDIO project incorporated advanced technologies to develop a non-invasive Data Acquisition System (DAS) with specialized textile and electrodes for accurate cardiac signal collection. These signals were then processed using advanced techniques and machine learning algorithms for meaningful information extraction, aiding in the visualization and potential pathology identification of the patient’s heart.
The team integrated AR and VR technologies to create an immersive experience for medical professionals, with a user-friendly graphical interface allowing healthcare experts to navigate the heart’s surface, track complex cardiac signal pathways, and adjust the representation of electrical propagation.
VR-CARDIO's accuracy was validated through extensive testing, including an AF prediction model (integrated into the deliverable 1.2 application) tested with public datasets, a DAS validated with real-world patient data, and an AF detection algorithm tested with simulated scenarios and real signal data.
Key achievements include developing the innovative VR-CARDIO tool for arrhythmia visualization and diagnosis, integrating a non-invasive DAS for capturing cardiac signals, incorporating AR and VR capabilities for comprehensive heart activity visualization, and validating the accuracy of the AF prediction model.
The team integrated AR and VR technologies to create an immersive experience for medical professionals, with a user-friendly graphical interface allowing healthcare experts to navigate the heart’s surface, track complex cardiac signal pathways, and adjust the representation of electrical propagation.
VR-CARDIO's accuracy was validated through extensive testing, including an AF prediction model (integrated into the deliverable 1.2 application) tested with public datasets, a DAS validated with real-world patient data, and an AF detection algorithm tested with simulated scenarios and real signal data.
Key achievements include developing the innovative VR-CARDIO tool for arrhythmia visualization and diagnosis, integrating a non-invasive DAS for capturing cardiac signals, incorporating AR and VR capabilities for comprehensive heart activity visualization, and validating the accuracy of the AF prediction model.
The VR-CARDIO project incorporated advanced technologies to develop a non-invasive Data Acquisition System (DAS) with specialized textile and electrodes for accurate cardiac signal collection. These signals were then processed using advanced techniques and machine learning algorithms for meaningful information extraction, aiding in the visualization and potential pathology identification of the patient’s heart.
The team integrated AR and VR technologies to create an immersive experience for medical professionals, with a user-friendly graphical interface allowing healthcare experts to navigate the heart’s surface, track complex cardiac signal pathways, and adjust the representation of electrical propagation.
VR-CARDIO's accuracy was validated through extensive testing, including an AF prediction model (integrated into the deliverable 1.2 application) tested with public datasets, a DAS validated with real-world patient data, and an AF detection algorithm tested with simulated scenarios and real signal data.
Key achievements include developing the innovative VR-CARDIO tool for arrhythmia visualization and diagnosis, integrating a non-invasive DAS for capturing cardiac signals, incorporating AR and VR capabilities for comprehensive heart activity visualization, and validating the accuracy of the AF prediction model.
The team integrated AR and VR technologies to create an immersive experience for medical professionals, with a user-friendly graphical interface allowing healthcare experts to navigate the heart’s surface, track complex cardiac signal pathways, and adjust the representation of electrical propagation.
VR-CARDIO's accuracy was validated through extensive testing, including an AF prediction model (integrated into the deliverable 1.2 application) tested with public datasets, a DAS validated with real-world patient data, and an AF detection algorithm tested with simulated scenarios and real signal data.
Key achievements include developing the innovative VR-CARDIO tool for arrhythmia visualization and diagnosis, integrating a non-invasive DAS for capturing cardiac signals, incorporating AR and VR capabilities for comprehensive heart activity visualization, and validating the accuracy of the AF prediction model.
VR-CARDIO leverages advanced diagnostics and a non-invasive approach to improve patient outcomes by enabling early detection and precise visualization of arrhythmias, thus facilitating prompt intervention and personalized treatment plans. This can reduce morbidity and mortality rates from cardiac arrhythmias.
The use of VR-CARDIO optimizes resource allocation and surgery processes, thereby improving operational efficiency and reducing healthcare costs. It can minimize waiting lists and ensure effective use of operating rooms and healthcare resources.
The integration of AR and VR in VR-CARDIO propels advancement in healthcare technology, driving future innovations and technological progress.
To ensure further acceptance and success of VR-CARDIO, key needs include:
- Continued research and development for refining and improving VR-CARDIO, improving the accuracy of the prediction model, exploring new detection algorithms, and expanding the range of diagnosable cardiac pathologies.
- Conducting demonstration and validation studies in clinical settings to confirm the efficacy and benefits of VR-CARDIO. Collaboration with healthcare institutions and professionals is needed to gather real-world evidence.
- Developing effective market access and commercialization strategies, identifying target markets, establishing partnerships, and securing funding to introduce VR-CARDIO to the market successfully.
- Intellectual property protection through patent, trademark, and copyright support to secure a competitive advantage.
- Compliance with standards is crucial for VR-CARDIO’s adoption. Collaborating with regulators and standardization bodies ensures compliance and facilitates integration into healthcare systems.
- International collaboration, partnerships, and market expansion to address regulatory variations, adapt to diverse healthcare environments, and access global opportunities.
The use of VR-CARDIO optimizes resource allocation and surgery processes, thereby improving operational efficiency and reducing healthcare costs. It can minimize waiting lists and ensure effective use of operating rooms and healthcare resources.
The integration of AR and VR in VR-CARDIO propels advancement in healthcare technology, driving future innovations and technological progress.
To ensure further acceptance and success of VR-CARDIO, key needs include:
- Continued research and development for refining and improving VR-CARDIO, improving the accuracy of the prediction model, exploring new detection algorithms, and expanding the range of diagnosable cardiac pathologies.
- Conducting demonstration and validation studies in clinical settings to confirm the efficacy and benefits of VR-CARDIO. Collaboration with healthcare institutions and professionals is needed to gather real-world evidence.
- Developing effective market access and commercialization strategies, identifying target markets, establishing partnerships, and securing funding to introduce VR-CARDIO to the market successfully.
- Intellectual property protection through patent, trademark, and copyright support to secure a competitive advantage.
- Compliance with standards is crucial for VR-CARDIO’s adoption. Collaborating with regulators and standardization bodies ensures compliance and facilitates integration into healthcare systems.
- International collaboration, partnerships, and market expansion to address regulatory variations, adapt to diverse healthcare environments, and access global opportunities.