Publications

2023

1. A Standalone Augmented Reality Tool for X-ray-like Vision: Harnessing Body Tracking and Sensor Capabilities of HoloLens 2

   Marc Fischer, Austin Hale, Abdul Mukit, and 6 more authors

   In 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023

2022

1. Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory Profiles

   Mamunur Rashid, Mohanad Alkhodari, Abdul Mukit, and 4 more authors

   Journal of Clinical Medicine, 2022

   Abs

   Microvascular complications are one of the key causes of mortality among type 2 diabetic patients. This study was sought to investigate the use of a novel machine learning approach for predicting these complications using only the patient demographic, clinical, and laboratory profiles. A total of 96 Bangladeshi participants with type 2 diabetes were recruited during their routine hospital visits. All patient profiles were assessed by using a chi-squared (χ2) test to statistically determine the most important markers in predicting three microvascular complications: cardiac autonomic neuropathy (CAN), diabetic peripheral neuropathy (DPN), and diabetic retinopathy (RET). A machine learning approach based on logistic regression, random forest (RF), and support vector machine (SVM) algorithms was then developed to ensure automated clinical testing for microvascular complications in diabetic patients. The highest prediction accuracies were obtained by RF using diastolic blood pressure, albumin–creatinine ratio, and gender for CAN testing (98.67%); microalbuminuria, smoking history, and hemoglobin A1C for DPN testing (67.78%); and hemoglobin A1C, microalbuminuria, and smoking history for RET testing (84.38%). This study suggests machine learning as a promising automated tool for predicting microvascular complications in diabetic patients using their profiles, which could help prevent those patients from further microvascular complications leading to early death.

2021

1. Screening Cardiovascular Autonomic Neuropathy in Diabetic Patients With Microvascular Complications Using Machine Learning: A 24-Hour Heart Rate Variability Study

   Mohanad Alkhodari, Mamunur Rashid, Mohammad Abdul Mukit, and 4 more authors

   IEEE Access, 2021

2020

1. Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

   Tuba Ahmed, Mohammad Abdul Mukit, Khawza I Ahmed, and 3 more authors

   In 2020 IEEE Region 10 Symposium (TENSYMP), 2020

2019

1. HMM-based Supervised Machine Learning Framework for the Detection of fECG R-R Peak Locations

   A.S.A. Huque, K.I. Ahmed, M.A. Mukit, and 1 more author

   IRBM, 2019

2016

1. A localization algorithm for capsule endoscopy based on feature point tracking

   Wahid Khan, S. M. Lutful Kabir, Haider A. Khan, and 3 more authors

   In 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec), 2016
2. Low power consumption techniques of quartz crystal oscillator

   Torikul Islam Badal, Nurfadhila Binti Alias, Labonnah F. Rahman, and 3 more authors

   In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES), 2016
3. Low power delay locked-loop using 0.13μm CMOS technology

   Torikul Islam Badal, Pouya Maroofee, Mohammad Arif Sobhan Bhuiyan, and 3 more authors

   In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES), 2016

2014

1. Development and demonstration of a prototype e-ECG system for telemedicine application

   G.M.A Ehsanur Rahman, Md. Abdul Mukit, Raqibul Mostafa, and 2 more authors

   In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014), 2014