Call for Papers
Cardiac arrhythmias belong to a class of highly prevalent heart conditions with limited existing treatment options. During the past three decades, there has been extensive research and development of biomedical signal and image processing techniques in support of the detection, diagnosis, management, treatment planning, and therapy delivery for cardiac arrhythmic conditions. In response to the quest for reduced size of the incision and limited exposure of the heart, various biomedical signal acquisition and processing methods have been employed to detect, characterize and localize the presence of arrhythmia in a minimally invasive fashion, using intracardic catheters, as well as extracorporeal signal acquisition for electric field abnormality detection and assessment. Alongside signal acquisition, both diagnostic and intra-procedural imaging techniques have been used to image the cardiac anatomy with high resolution and high fidelity, enabling the reconstruction of the heart chambers and the superposition of the acquired functional signals for better localization and visualization of the arrhythmic foci. Such data has become a critical component of the planning and guidance of cardiac ablative therapy aimed at electrically isolating the arrhythmic foci and preventing arrhythmia propagation and recurrence.
This session will provide a focused venue that attracts novel scientific contributions in the area of biomedical signal and imaging for cardiac arrhythmia applications along with their integration into diagnostic, treatment planning and image-guided therapy delivery platforms. Session speakers will be encouraged to place their work in the clinical context by describing necessary developments, research questions and any potential obstacles that must be overcome to achieve successful clinical translation of the disseminated technologies.
This session will attract researchers in biomedical engineering, computer science, electrical engineering, imaging science and clinical medicine engaged in computer-aided diagnosis and treatment of cardiac arrhythmias. The scientific content will entail multi-scale and multi-modality signal and image acquisition and integration for diagnosis, visualization, planning and guidance tools in support of patient-specific pre-clinical translation and evaluation of arrhythmia treatment.
Paper submission guidelines
Please follow the general conference paper submission guidelines that can be found here: call-for-papers
Important dates can be found here: important-dates
Special Track Chairs
- Behnaz Ghoraani, Florida Atlantic University, USA
- Cristian A. Linte, Rochester Institute of Technology, USA