publications

2023

1. IEEE Conf

   

   Body Weight Estimation Using Smartphone Based Photoplethysmography Signal

   Md Rezwanul Haque, MHC Ritom, AA Noman, and 3 more authors

   In 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023

   Bib

   

   @inproceedings{haque2023body,
     title = {Body Weight Estimation Using Smartphone Based Photoplethysmography Signal},
     author = {Haque, Md Rezwanul and Ritom, MHC and Noman, AA and Haque, E and Ahmed, F and others},
     booktitle = {2023 26th International Conference on Computer and Information Technology (ICCIT)},
     pages = {1--6},
     year = {2023},
     organization = {IEEE},
   }

2. IEEE Conf

   

   Smartphone Based BP Level Monitoring System Using DNN Model

   Md Rezwanul Haque, Abdullah Al Noman, Emranul Haque, and 2 more authors

   In 2023 International Conference on Advanced Technologies for Communications (ATC), 2023

   Bib

   

   @inproceedings{haque2023smartphone,
     title = {Smartphone Based BP Level Monitoring System Using DNN Model},
     author = {Haque, Md Rezwanul and Al Noman, Abdullah and Haque, Emranul and Ahmed, Feroz and others},
     booktitle = {2023 International Conference on Advanced Technologies for Communications (ATC)},
     pages = {12--18},
     year = {2023},
     organization = {IEEE},
   }

3. Springer

   

   Badlad: A large multi-domain bengali document layout analysis dataset

   Md Istiak Hossain Shihab, Md Rakibul Hasan, Mahfuzur Rahman Emon, and 10 more authors

   In International Conference on Document Analysis and Recognition, 2023

   Bib

   

   @inproceedings{shihab2023badlad,
     title = {Badlad: A large multi-domain bengali document layout analysis dataset},
     author = {Shihab, Md Istiak Hossain and Hasan, Md Rakibul and Emon, Mahfuzur Rahman and Hossen, Syed Mobassir and Ansary, Md Nazmuddoha and Ahmed, Intesur and Rakib, Fazle Rabbi and Dhruvo, Shahriar Elahi and Dip, Souhardya Saha and Pavel, Akib Hasan and Meghla, Marsia Haque and Haque, Md Rezwanul and others},
     booktitle = {International Conference on Document Analysis and Recognition},
     pages = {326--341},
     year = {2023},
     organization = {Springer},
   }

2021

1. IEEE Access

   

   Corrections to" A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models".

   Md Rezwanul Haque, SM Taslim Uddin Raju, MD Asaf-Uddowla Golap, and 1 more author

   IEEE Access, 2021

   Bib

   

   @article{haque2021corrections,
     title = {Corrections to" A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models".},
     author = {Haque, Md Rezwanul and Raju, SM Taslim Uddin and Golap, MD Asaf-Uddowla and Hashem, MMA},
     journal = {IEEE Access},
     volume = {9},
     pages = {84178--84179},
     year = {2021},
   }

2. Springer

   

   Prediction of cervical cancer from behavior risk using machine learning techniques

   Laboni Akter, Md Milon Islam, Mabrook S Al-Rakhami, and 1 more author

   SN Computer Science, 2021

   Bib

   

   @article{akter2021prediction,
     title = {Prediction of cervical cancer from behavior risk using machine learning techniques},
     author = {Akter, Laboni and Islam, Md Milon and Al-Rakhami, Mabrook S and Haque, Md Rezwanul},
     journal = {SN Computer Science},
     volume = {2},
     number = {3},
     pages = {177},
     year = {2021},
     publisher = {Springer},
   }

3. Elsevier

   

   Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model

   Md Asaf-uddowla Golap, SM Taslim Uddin Raju, Md Rezwanul Haque, and 1 more author

   Biomedical Signal Processing and Control, 2021

   Bib PDF

   

   @article{golap2021hemoglobin,
     title = {Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model},
     author = {Golap, Md Asaf-uddowla and Raju, SM Taslim Uddin and Haque, Md Rezwanul and Hashem, MMA},
     journal = {Biomedical Signal Processing and Control},
     volume = {67},
     pages = {102478},
     year = {2021},
     publisher = {Elsevier},
   }

4. Springer

   

   Scalable telehealth services to combat novel coronavirus (COVID-19) pandemic

   Shah Muhammad Azmat Ullah, Md Milon Islam, Saifuddin Mahmud, and 3 more authors

   SN Computer Science, 2021

   Bib

   

   @article{ullah2021scalable,
     title = {Scalable telehealth services to combat novel coronavirus (COVID-19) pandemic},
     author = {Ullah, Shah Muhammad Azmat and Islam, Md Milon and Mahmud, Saifuddin and Nooruddin, Sheikh and Raju, SM Taslim Uddin and Haque, Md Rezwanul},
     journal = {SN Computer Science},
     volume = {2},
     pages = {1--8},
     year = {2021},
     publisher = {Springer},
   }

5. IEEE Access

   

   A novel technique for non-invasive measurement of human blood component levels from fingertip video using DNN based models

   Md Rezwanul Haque, SM Taslim Uddin Raju, Md Asaf-Uddowla Golap, and 1 more author

   IEEE Access, 2021

   Abs Bib HTML PDF

   

   Blood components such as hemoglobin, glucose, and creatinine are essential for monitoring one’s health condition. The current blood component measurement approaches still depend on invasive techniques that are painful and uncomfortable for patients. To facilitate measurement at home, we proposed a novel non-invasive technique to measure blood hemoglobin, glucose, and creatinine levels based on Photoplethysmography (PPG) signals using Deep Neural Networks (DNN). Fingertip videos from 93 subjects have been collected using a smartphone. The PPG signal is generated from each video, and 46 characteristic features are then extracted from the PPG signal, its derivatives (1st and 2nd), and from Fourier analysis. Additionally, age and gender are also included as features due to their significant effects on hemoglobin, glucose, and creatinine. A correlation-based feature selection (CFS) using genetic algorithms (GA) has been used to select the optimal features to avoid redundancy and overfitting. Finally, DNN-based models have been developed to estimate the blood Hemoglobin (Hb), Glucose (Gl), and Creatinine (Cr) levels from the selected features. The approach provides the best-estimated accuracy of R² = 0.922 for Hb, R² = 0.902 for Gl, and R² = 0.969 for Cr. Experimental results show that the proposed method is a suitable technique to be used clinically to measure human blood component levels without taking blood samples. This paper also reveals that smartphone-based PPG signals have great potential to measure different blood components.

   @article{haque2021novel,
     title = {A novel technique for non-invasive measurement of human blood component levels from fingertip video using DNN based models},
     author = {Haque, Md Rezwanul and Raju, SM Taslim Uddin and Golap, Md Asaf-Uddowla and Hashem, MMA},
     journal = {IEEE Access},
     volume = {9},
     pages = {19025--19042},
     year = {2021},
     publisher = {IEEE},
   }

2020

1. Springer

   

   Deep learning applications to combat novel coronavirus (COVID-19) pandemic

   Amanullah Asraf, Md Zabirul Islam, Md Rezwanul Haque, and 1 more author

   SN Computer Science, 2020

   Bib

   

   @article{asraf2020deep,
     title = {Deep learning applications to combat novel coronavirus (COVID-19) pandemic},
     author = {Asraf, Amanullah and Islam, Md Zabirul and Haque, Md Rezwanul and Islam, Md Milon},
     journal = {SN Computer Science},
     volume = {1},
     pages = {1--7},
     year = {2020},
     publisher = {Springer},
   }

2. Springer

   

   Breast cancer prediction: a comparative study using machine learning techniques

   Md Milon Islam, Md Rezwanul Haque, Hasib Iqbal, and 3 more authors

   SN Computer Science, 2020

   Bib

   

   @article{islam2020breast,
     title = {Breast cancer prediction: a comparative study using machine learning techniques},
     author = {Islam, Md Milon and Haque, Md Rezwanul and Iqbal, Hasib and Hasan, Md Munirul and Hasan, Mahmudul and Kabir, Muhammad Nomani},
     journal = {SN Computer Science},
     volume = {1},
     pages = {1--14},
     year = {2020},
     publisher = {Springer},
   }

2019

1. MECS Press

   

   A computer vision based lane detection approach

   Md Rezwanul Haque, Md Milon Islam, Kazi Saeed Alam, and 2 more authors

   International Journal of Image, Graphics and Signal Processing, 2019

   Bib

   

   @article{haque2019computer,
     title = {A computer vision based lane detection approach},
     author = {Haque, Md Rezwanul and Islam, Md Milon and Alam, Kazi Saeed and Iqbal, Hasib and Shaik, Md Ebrahim},
     journal = {International Journal of Image, Graphics and Signal Processing},
     volume = {10},
     number = {3},
     pages = {27},
     year = {2019},
     publisher = {Modern Education and Computer Science Press},
   }

2018

1. IEEE Conf

   

   Performance evaluation of random forests and artificial neural networks for the classification of liver disorder

   Md Rezwanul Haque, Md Milon Islam, Hasib Iqbal, and 2 more authors

   In 2018 international conference on computer, communication, chemical, material and electronic engineering (IC4ME2), 2018

   Bib

   

   @inproceedings{haque2018performance,
     title = {Performance evaluation of random forests and artificial neural networks for the classification of liver disorder},
     author = {Haque, Md Rezwanul and Islam, Md Milon and Iqbal, Hasib and Reza, Md Sumon and Hasan, Md Kamrul},
     booktitle = {2018 international conference on computer, communication, chemical, material and electronic engineering (IC4ME2)},
     pages = {1--5},
     year = {2018},
     organization = {IEEE},
   }

2017

1. IEEE Conf

   

   Prediction of breast cancer using support vector machine and K-Nearest neighbors

   Md Milon Islam, Hasib Iqbal, Md Rezwanul Haque, and 1 more author

   In 2017 IEEE region 10 humanitarian technology conference (R10-HTC), 2017

   Bib

   

   @inproceedings{islam2017prediction,
     title = {Prediction of breast cancer using support vector machine and K-Nearest neighbors},
     author = {Islam, Md Milon and Iqbal, Hasib and Haque, Md Rezwanul and Hasan, Md Kamrul},
     booktitle = {2017 IEEE region 10 humanitarian technology conference (R10-HTC)},
     pages = {226--229},
     year = {2017},
     organization = {IEEE},
   }