Lishen Qiu

According to our database1, Lishen Qiu authored at least 13 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
Two-stage detection method of supraventricular and ventricular ectopic beats based on sequential artificial features and heartbeats.
Biomed. Signal Process. Control., August, 2023

Inter-patient ECG characteristic wave detection based on convolutional neural network combined with transformer.
Biomed. Signal Process. Control., March, 2023

A Conv -Transformer network for heart rate estimation using ballistocardiographic signals.
Biomed. Signal Process. Control., 2023

2021
A Novel Method for Detecting Noise Segments in ECG Signals.
Proceedings of the 20th IEEE International Conference on Trust, 2021

A multi-scale convolutional neural network for heartbeat classification.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Automated Classification of Atrial Fibrillation and Atrial Flutter in ECG Signals based on Deep Learning.
Proceedings of the 20th IEEE International Conference on Trust, 2021

An Automatic Algorithm for P/T-Wave Detection based on Auxiliary Waveform.
Proceedings of the 20th IEEE International Conference on Trust, 2021

2020
Design and implementation of a multifunctional ECG analysis software system.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Atrial Fibrillation Classification Using Convolutional Neural Networks and Time Domain Features of ECG Sequence.
Proceedings of the 19th IEEE International Conference on Trust, 2020

2019
An Automatic Detection Algorithm for T Wave Position based on T Wave Morphology.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

Practical Fall Detection Algorithm based on Adaboost.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

2018
Wearable Arteriovenous Fistula Murmur Monitoring System Based on Embedded Wi-Fi Technology.
Proceedings of the 2018 IEEE SmartWorld, 2018

Heartbeat Classification Using Convolution Neural Network and Wavelet Transform to Extract Features.
Proceedings of the 2018 IEEE SmartWorld, 2018


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