40 citations · 69 across the 9 of their papers we have counts for
9 papers
Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations
Hongxiang Gao, He-yang Xu, Yuwen Li +6
Cardiologists interpret electrocardiograms by localizing waveform components, measuring rhythm and interval patterns, and translating these structured observations into diagnostic…
Continuous Telemonitoring of Heart Failure using Personalised Speech Dynamics
Yue Pan, Xingyao Wang, Hanyue Zhang +6
Remote monitoring of heart failure (HF) via speech signals provides a non-invasive and cost-effective solution for long-term patient management. However, substantial inter-individu…
Cross-Linguistic Persona-Driven Data Synthesis for Robust Multimodal Cognitive Decline Detection
Rui Feng, Zhiyao Luo, Liuyu Wu +6
Speech-based digital biomarkers represent a scalable, non-invasive frontier for the early identification of Mild Cognitive Impairment (MCI). However, the development of robust diag…
CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment
Rui Feng, Zhiyao Luo, Wei Wang +5
Automatic assessment of cognitive impairment from spontaneous speech offers a promising, non-invasive avenue for early cognitive screening. However, current approaches often lack g…
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao, Xiangyao Wang, Zhenghua Chen +5
Automatic emotion recognition based on multichannel Electroencephalography (EEG) holds great potential in advancing human-computer interaction. However, several significant challen…
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
Hongxiang Gao, Xingyao Wang, Zhenghua Chen +3
Electrocardiogram (ECG) monitoring is one of the most powerful technique of cardiovascular disease (CVD) early identification, and the introduction of intelligent wearable ECG devi…
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…
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
Gan Zhou, Zhi Li, Meng Fu +3
With the increased demand on economy and efficiency of measurement technology, Non-Intrusive Load Monitoring (NILM) has received more and more attention as a cost-effective way to…
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…