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Moajjem Hossain Chowdhury

Showing results (1-10 of 7) with videos related to

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Bioengineering (Basel, Switzerland)|February 25, 2023
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram SignalsMd Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E H Chowdhury, et al.
Physical and Engineering Sciences in Medicine|September 17, 2024
PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signalMd Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Saadia Binte Alam, et al.
Sensors (Basel, Switzerland)|June 5, 2020
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning TechniquesMoajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E H Chowdhury, et al.
Bioengineering (Basel, Switzerland)|May 27, 2023
Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic EffectMoajjem Hossain Chowdhury, Muhammad E H Chowdhury, Muhammad Salman Khan, et al.
Biomedical Engineering Letters|November 24, 2025
Oscillometric blood pressure estimation using machine learning-based mapping of waveform featuresMaymouna Ezeddin, Moajjem Hossain Chowdhury, Amith Khandakar, et al.
Sensors (Basel, Switzerland)|June 10, 2022
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram ImagesAmith Khandakar, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, et al.
Bioengineering (Basel, Switzerland)|October 27, 2022
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram SignalMoajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E H Chowdhury, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Bioengineering (Basel, Switzerland)|February 25, 2023
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram SignalsMd Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E H Chowdhury, et al.
Physical and Engineering Sciences in Medicine|September 17, 2024
PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signalMd Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Saadia Binte Alam, et al.
Sensors (Basel, Switzerland)|June 5, 2020
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning TechniquesMoajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E H Chowdhury, et al.
Bioengineering (Basel, Switzerland)|May 27, 2023
Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic EffectMoajjem Hossain Chowdhury, Muhammad E H Chowdhury, Muhammad Salman Khan, et al.
Biomedical Engineering Letters|November 24, 2025
Oscillometric blood pressure estimation using machine learning-based mapping of waveform featuresMaymouna Ezeddin, Moajjem Hossain Chowdhury, Amith Khandakar, et al.
Sensors (Basel, Switzerland)|June 10, 2022
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram ImagesAmith Khandakar, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, et al.
Bioengineering (Basel, Switzerland)|October 27, 2022
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram SignalMoajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E H Chowdhury, et al.
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