Md Hassanuzzaman

Journal Article Computers in biology and medicine · October 2025 Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standard diagnostic method, is costly and inaccessible in low-resource settings. Diagnosis is delayed due to lim ... Full text Open Access Cite

Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network

Journal Article IEEE Access · January 1, 2025 Congenital heart diseases (CHDs), caused by structural abnormalities in the heart and blood vessels, pose a significant public health concern and contribute significantly to the socioeconomic burden, particularly in pediatric populations. Phonocardiograms ... Full text Open Access Cite

Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network

Preprint · March 30, 2024 Link to item Cite

Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks.

Conference Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · July 2023 The phonocardiogram (PCG) or heart sound auscultation is a low-cost and non-invasive method to diagnose Congenital Heart Disease (CHD). However, recognizing CHD in the pediatric population based on heart sounds is difficult because it requires high medical ... Full text Cite

A Deep Learning Model for Recognizing Pediatric Congenital Heart Diseases Using Phonocardiogram Signals

Conference Computing in Cardiology · January 1, 2023 Diagnosing congenital heart disease (CHD)in children through heart sound auscultation requires extensive medical training and understanding. However, the quality of PCG data may be compromised due to the sensor location, a child's developing heart, and the ... Full text Cite

An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing.

Journal Article Sensors (Basel, Switzerland) · October 2021 Like Smart Home and Smart Devices, Smart Navigation has become necessary to travel through the congestion of the structure of either building or in the wild. The advancement in smartphone technology and incorporation of many different precise sensors have ... Full text Open Access Cite

Blood glucose level regression for smartphone ppg signals using machine learning

Journal Article Applied Sciences Switzerland · January 2, 2021 Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small droplet of blood is extracted an ... Full text Open Access Cite

End to end solution for continuous monitoring and real-time analysis of vital signs from ECG signal

Conference IEEE Region 10 Humanitarian Technology Conference R10 Htc · November 1, 2019 Health care is one of the major aspects that most people in the world are deprived of. Recent advancement in microelectronic and information communication technology mean that the measurement and transmission of physiological data for the disease monitorin ... Full text Cite