Fenglin Liu

发表

Accelerometer-based gait recognition via deterministic learning

Chengzhi Yuan, Fenglin Liu, Ying Wang, 2018, 2018 Chinese Control And Decision Conference (CCDC).

A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks

C. Yuan, Fenglin Liu, Qinghui Wang, 2022, Artificial Intelligence Review.

Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks

C. Yuan, Wei Zeng, Fenglin Liu, 2019, Artificial Intelligence Review.

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks

Ying Wang, Chengzhi Yuan, Jian Yuan, 2020, Artificial Intelligence Review.

A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks

Ying Wang, Chengzhi Yuan, Wei Zeng, 2021, Soft Computing.

Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks

Ying Wang, Chengzhi Yuan, Fenglin Liu, 2019, Artificial Intelligence Review.

Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks

C. Yuan, Wei Zeng, Fenglin Liu, 2019, Artificial Intelligence Review.

Trajectory-Based Hand Gesture Recognition Using Kinect via Deterministic Learning

Ying Wang, Chengzhi Yuan, Binfeng Lu, 2018, 2018 37th Chinese Control Conference (CCC).

Hand gesture recognition of Arabic numbers using leap motion via deterministic learning

Ying Wang, Fenglin Liu, Qinghui Wang, 2017, 2017 36th Chinese Control Conference (CCC).

Hand gesture recognition using kinect via deterministic learning

Ying Wang, Fenglin Liu, Qinghui Wang, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks

Ying Wang, Wei Zeng, Chengzhi Yuan, 2020, Artif. Intell. Medicine.

Classification between Focal and Non Focal EEG Signals Based on Signal Processing and Neural Networks

Ying Wang, Chengzhi Yuan, Fenglin Liu, 2019, 2019 Chinese Control Conference (CCC).

Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks

Ying Wang, Chengzhi Yuan, Fenglin Liu, 2019, Artificial Intelligence Review.

Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks

Ying Wang, Wei Zeng, Chengzhi Yuan, 2019, Neural Networks.

Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review

Andrew P. Creagh, D. Clifton, Yuan-ting Zhang, 2023, IEEE Reviews in Biomedical Engineering.

Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences

Fenglin Liu, Qinghui Wang, Ying Wang, 2024, EURASIP J. Adv. Signal Process..

A Heart Image Segmentation Method Based on Position Attention Mechanism and Inverted Pyramid

Fenglin Liu, Qinghui Wang, Ying Wang, 2023, Sensors.