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» Authors » Moajjem Hossain Chowdhury

Moajjem Hossain Chowdhury

Explore the profile of Moajjem Hossain Chowdhury including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 79
Followers 0
Related Specialties
Biotechnology
Biomedical Engineering
Top 10 Co-Authors
Muhammad E H Chowdhury
Amith Khandakar
Md Nazmul Islam Shuzan
Mamun Bin Ibne Reaz
Ahmad Ashrif A Bakar
Sawal Hamid Md Ali
Anwarul Hasan
Mohamed Arselene Ayari
Muhammad Salman Khan
Sakib Mahmud
Published In
Bioengineering (Basel)
Sensors (Basel)
Phys Eng Sci Med
Affiliations
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Recent Articles
1.
PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal
Shuzan M, Chowdhury M, Alam S, Reaz M, Khan M, Murugappan M, et al.
Phys Eng Sci Med . 2024 Sep; 47(4):1705-1722. PMID: 39287773
Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have...
2.
Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect
Chowdhury M, Chowdhury M, Khan M, Ullah M, Mahmud S, Khandakar A, et al.
Bioengineering (Basel) . 2023 May; 10(5). PMID: 37237612
Magnetic resonance imaging (MRI) is commonly used in medical diagnosis and minimally invasive image-guided operations. During an MRI scan, the patient's electrocardiogram (ECG) may be required for either gating or...
3.
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
Shuzan M, Chowdhury M, Chowdhury M, Murugappan M, Hoque Bhuiyan E, Ayari M, et al.
Bioengineering (Basel) . 2023 Feb; 10(2). PMID: 36829661
The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness...
4.
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
Chowdhury M, Shuzan M, Chowdhury M, Reaz M, Mahmud S, Al Emadi N, et al.
Bioengineering (Basel) . 2022 Oct; 9(10). PMID: 36290527
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any...
5.
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
Khandakar A, Chowdhury M, Reaz M, Hamid Md Ali S, Kiranyaz S, Rahman T, et al.
Sensors (Basel) . 2022 Jun; 22(11). PMID: 35684870
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot,...
6.
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques
Chowdhury M, Shuzan M, Chowdhury M, Mahbub Z, Uddin M, Khandakar A, et al.
Sensors (Basel) . 2020 Jun; 20(11). PMID: 32492902
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very...