activity
20192022
most citedTemporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration

40 citations · 44 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP20221 cited

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

Xingyao Wang, Yuwen Li, Hongxiang Gao +3

Precise segmentation is a vital first step to analyze semantic information of cardiac cycle and capture anomaly with cardiovascular signals. However, in the field of deep semantic…

cs.SD20211 cited

Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease

Yongming Li, Chengyu Liu, Pin Wang +2

The risk of Parkinson's disease (PD) is extremely serious, and PD speech recognition is an effective method of diagnosis nowadays. However, due to the influence of the disease stag…

cs.CY2020

Remote health monitoring and diagnosis in the time of COVID-19

Joachim A. Behar, Chengyu Liu, Kevin Kotzen +13

Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SA…

eess.SP202040 cited

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

Xingyao Wang, Chengyu Liu, Yuwen Li +3

Objective: This paper presents a novel heart sound segmentation algorithm based on Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic inference f…

cs.LG20192 cited

Active Stacking for Heart Rate Estimation

Dongrui Wu, Feifei Liu, Chengyu Liu

Heart rate estimation from electrocardiogram signals is very important for the early detection of cardiovascular diseases. However, due to large individual differences and varying…