Ying Wang

Affiliations:
  • Longyan University, School of Physics and Mechanical and Electrical Engineering, Longyan, China


According to our database1, Ying Wang authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
A Heart Image Segmentation Method Based on Position Attention Mechanism and Inverted Pyramid.
Sensors, December, 2023

A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks.
Artif. Intell. Rev., April, 2023

2021
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks.
Soft Comput., 2021

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks.
Artif. Intell. Rev., 2021

Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning.
Artif. Intell. Rev., 2021

2020
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.
Artif. Intell. Medicine, 2020

Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev., 2020

2019
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.
Neural Networks, 2019

Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning.
Artif. Intell. Rev., 2019

Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev., 2019

Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks.
Artif. Intell. Rev., 2019


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