Md Billal Hossain

Orcid: 0000-0002-2344-8321

According to our database1, Md Billal Hossain authored at least 19 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Spectral analysis of Electroretinography to differentiate autism spectrum disorder and attention deficit hyperactivity disorder.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity.
IEEE Trans. Biomed. Eng., 2022

Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion Artifact.
Sensors, 2022

Automatic motion artifact detection in electrodermal activity data using machine learning.
Biomed. Signal Process. Control., 2022

How Does AR Technology Adoption and Involvement Behavior Affect Overseas Residents' Life Satisfaction?
Big Data Cogn. Comput., 2022

Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity Signals: A Preliminary Study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving the Accuracy of R-Peak Detection in a Wearable Armband Device for Daily Life Electrocardiogram Monitoring Using a Deep Convolutional Denoising Encoder-Decoder Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
AR and ARMA model order selection for time-series modeling with ImageNet classification.
Signal Process., 2021

A robust ECG denoising technique using variable frequency complex demodulation.
Comput. Methods Programs Biomed., 2021

Validation of Spectral Indices of Electrodermal Activity with a Wearable Device.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data.
IEEE J. Biomed. Health Informatics, 2020

Wearable Armband Device for Daily Life Electrocardiogram Monitoring.
IEEE Trans. Biomed. Eng., 2020

Using the Redundant Convolutional Encoder-Decoder to Denoise QRS Complexes in ECG Signals Recorded with an Armband Wearable Device.
Sensors, 2020

Estimation of ARMA Model Order via Artificial Neural Network for Modeling Physiological Systems.
IEEE Access, 2020

Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation Technique.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
An Accurate QRS Complex and P Wave Detection in ECG Signals Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Approach.
IEEE Access, 2019

Reinforcement Learning-Driven QoS-Aware Intelligent Routing for Software-Defined Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019


  Loading...