whynotJunger/Panobench
Dataset Card for Panobench Panobench: A dense benchmark for Electrocardio Panorama To enable comprehensive evaluation of panoramic ECG view synthesis, we curated a new benchmark, Panobench, which for the first time extends beyond previous datasets limited to only 8 or 12 views. Panobench comprises 4,470 ten-second recordings with 48 viewpoints (6 limb and 42 precordial leads), each annotated with CT-derived spherical coordinates (θ, φ). By expanding to 48 leads (views)… See the full description on the dataset page: https://huggingface.co/datasets/whynotJunger/Panobench.
Dataset Card for Panobench
<!-- Provide a quick summary of the dataset. --> Panobench: A dense benchmark for Electrocardio Panorama To enable comprehensive evaluation of panoramic ECG view synthesis, we curated a new benchmark, Panobench, which for the first time extends beyond previous datasets limited to only 8 or 12 views. Panobench comprises 4,470 ten-second recordings with 48 viewpoints (6 limb and 42 precordial leads), each annotated with CT-derived spherical coordinates (θ, φ). By expanding to 48 leads (views), Panobench provides a high-resolution representation of cardiac electrical dynamics, enabling signal analysis from diverse perspectives. The 48-viewpoint signals and their corresponding angular positions are as follows: .
Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> Please cite the paper if the codes or the dataset we provided are helpful:
`` @inproceedings{zhan2025nef, title={NEF-NET+: Adapting Electrocardio panorama in the wild}, author={Zhan, Zehui and Hu, Yaojun and Zhan, Jiajing and Lian, Wanchen and Wu, Wanqing and Chen, Jintai}, journal={arXiv preprint arXiv:2511.02880}, year={2025}} ``