A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals

no code implementations • 19 Sep 2022 • Xingyao Wang, Yuwen Li, Hongxiang Gao, Xianghong Cheng, Jianqing Li, Chengyu Liu

To address this issue, we establish a structural causal model as the foundation to customize the intervention approaches on Am and Ar, respectively.

Attribute Segmentation +1

Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration

no code implementations • 9 May 2020 • Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford

Moreover, the TFAN-based method achieved an overall F1 score of 99. 2%, 94. 4%, 91. 4% on LEVEL-I, -II and -III data respectively, compared to 98. 4%, 88. 54% and 79. 80% for the current state-of-the-art method.

Segmentation Time Series Analysis