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Xianliang He
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2020 – today
- 2022
- [j1]Yijing Li, Wenyu Ye, Yang Kang, Shengyu Zhang
, Xianliang He, Jin Xingliang, Wang Cheng, Zehui Sun, Mengxing Liu:
Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring. Comput. Methods Programs Biomed. 214: 106568 (2022) - [c7]Shengyu Zhang
, Mimi Hu, Junbiao Hong, Haoyu Jiang, Xianliang He, Lei Wang:
A Fractal-Based Approach for Suppressing Chest Compression Noise in ECG Signal. CinC 2022: 1-4 - [c6]Shengyu Zhang
, Yang Kang, Wenyu Ye, Haoyu Jiang, Xianliang He, Lei Wang, Yijing Li:
Prediction of Deterioration in Critically Ill Patients with Heart Failure Based on Vital Signs Monitoring. CinC 2022: 1-4 - 2021
- [c5]Haoyu Jiang, Mimi Hu, Junbiao Hong, Yijing Li, Xianliang He:
A Real-Time Digital Pacemaker Pulse Detection Algorithm. CinC 2021: 1-4 - 2020
- [c4]Yingjie Jia, Haoyu Jiang, Ping Yang, Xianliang He:
An End-to-end Deep Learning Scheme for Atrial Fibrillation Detection. CinC 2020: 1-4 - [c3]Mengxing Liu, Zehui Sun, Wenyu Ye, Xianliang He, Haoyu Jiang, Ye Li, Yiyu Zhuang:
Optimization Strategies to Reduce Alarm Fatigue in Patient Monitors. CinC 2020: 1-4
2010 – 2019
- 2019
- [c2]Xianliang He, Sanchao Liu, Zehui Sun, Wenyu Ye, Jianwei Su, Haoyu Jiang, Ping Yang, Cadathur Rajagopalan:
Method to Determine the Applicability of Multi-Parameter Fusion Analysis. CinC 2019: 1-4 - 2018
- [c1]Jianwei Su, Sanchao Liu, Zehui Sun, Bailei Sun, Wenyu Ye, Cadathur Rajagopalan, Xianliang He:
Real-Time Fusion of ECG and SpO2 Signals to Reduce False Alarms. CinC 2018: 1-4
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