Development of an Interactive System for the Visualization of a Cardiac Model activated by the R-Wave of ECG in a 3D CAVE

Llanas, Angel; Reneses, Javier; Cardiel, E.; Hernandez, Pablo-Rogelio

doi:10.1109/iceee.2018.8533919

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…However, they lack real-time analysis, which may not be crucial for training but plays a vital role in diagnostics. The study by Llanas et al (2018) addressed this gap by analyzing the ECG signal in real-time using a wired ECG recorder and presenting it with their interactive cardiac model activated by the R-Wave (CAVE) system. The CAVE system generates a 3D model of the heart from MRI and uses independent projections from different angles to display the 3D heart on the walls of a small simulation room.…”

Section: State Of the Artmentioning

confidence: 99%

“…The CAVE system generates a 3D model of the heart from MRI and uses independent projections from different angles to display the 3D heart on the walls of a small simulation room. 5 Although these concepts generate a 3D simulation, partially in real-time, they lack the transition towards VR using a VR headset to immerse users in a virtual environment. Moreover, the connection with smart shirts allows for wireless recording, ensuring that patient activities are not disrupted or influenced.…”

Section: State Of the Artmentioning

confidence: 99%

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Real-time ECG-monitoring in virtual reality

Schüler,

Bente,

Deserno

et al. 2024

Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications

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Virtual reality (VR) enables new perspectives and approaches for interaction with a computer-generated environment, thus enhancing data science and a variety of applications. An electrocardiogram (ECG) records the heart's electrical activity, allowing insights into its behavior and identifying potential problems. Novel textile shirts with integrated ECG sensors offer convenient and continuous ECG recording. We investigate the feasibility of using such a shirt with textile sensors for real-time monitoring of an ECG signal in VR. We developed an application that wirelessly records and analyzes the ECG from a subject in real-time, visualizing both the ECG itself and the heartbeat in VR. The heartbeat is visualized on an animated, three-dimensional heart model, while the ECG signal is displayed as a time series graph. For analysis, we employ a real-time heartbeat detection algorithm. The recorded signal can be monitored live in the VR environment with a delay of less than 10 ms. Thus, the combination of smart wearables and VR demonstrates how immersive analytics facilitates real-time heart monitoring. Eventually, similar approaches can open new possibilities for training medical personnel as well as educating a broader interested audience.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Real-time ECG-monitoring in virtual reality

Schüler,

Bente,

Deserno

et al. 2024

Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications

View full text Add to dashboard Cite

show abstract

“…The visualization process typically includes all the functionalities that will allow users to inspect and interact with recorded or annotated ECG signals in real-time, as well as offline from a file [80,81]. This process acquires its importance throughout the value chain as it helps the human brain to better understand and analyze patterns, and detect abnormalities, especially with large datasets.…”

Section: Visualizationmentioning

confidence: 99%

“…The application included data charting, electrode state, and animation storyboard functionalities. A three-dimensional cave interactive system was proposed in [81] which provides a graphic user interface that demonstrates a three-dimensional modeling and animation of a human heart using the R-wave of the electrocardiographic signal.…”

Section: Visualizationmentioning

confidence: 99%

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

Serhani

Kassabi

Ismail

et al. 2020

Sensors

231

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Health monitoring and its related technologies is an attractive research area. The electrocardiogram (ECG) has always been a popular measurement scheme to assess and diagnose cardiovascular diseases (CVDs). The number of ECG monitoring systems in the literature is expanding exponentially. Hence, it is very hard for researchers and healthcare experts to choose, compare, and evaluate systems that serve their needs and fulfill the monitoring requirements. This accentuates the need for a verified reference guiding the design, classification, and analysis of ECG monitoring systems, serving both researchers and professionals in the field. In this paper, we propose a comprehensive, expert-verified taxonomy of ECG monitoring systems and conduct an extensive, systematic review of the literature. This provides evidence-based support for critically understanding ECG monitoring systems’ components, contexts, features, and challenges. Hence, a generic architectural model for ECG monitoring systems is proposed, an extensive analysis of ECG monitoring systems’ value chain is conducted, and a thorough review of the relevant literature, classified against the experts’ taxonomy, is presented, highlighting challenges and current trends. Finally, we identify key challenges and emphasize the importance of smart monitoring systems that leverage new technologies, including deep learning, artificial intelligence (AI), Big Data and Internet of Things (IoT), to provide efficient, cost-aware, and fully connected monitoring systems.

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Development of an Interactive System for the Visualization of a Cardiac Model activated by the R-Wave of ECG in a 3D CAVE

Cited by 2 publications

References 7 publications

Real-time ECG-monitoring in virtual reality

Real-time ECG-monitoring in virtual reality

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

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