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Md Hassanuzzaman
Md Hassanuzzaman
MSc in Digital Health, University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Blood glucose level regression for smartphone ppg signals using machine learning
TT Islam, MS Ahmed, M Hassanuzzaman, SA Bin Amir, T Rahman
Applied Sciences 11 (2), 618, 2021
362021
End to end solution for continuous monitoring and real-time analysis of vital signs from ECG signal
M Hassanuzzaman, P Biswas, T Rahman
2019 IEEE R10 Humanitarian Technology Conference (R10-HTC)(47129), 55-60, 2019
52019
Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks
M Hassanuzzaman, NA Hasan, MA Al Mamun, M Alkhodari, KI Ahmed, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
32023
An efficient surface map creation and tracking using smartphone sensors and crowdsourcing
MR Ali Sarker, M Hassanuzzaman, P Biswas, SH Dadon, T Imam, ...
Sensors 21 (21), 6969, 2021
32021
Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network
M Hassanuzzaman, NA Hasan, MAA Mamun, KI Ahmed, AH Khandoker, ...
arXiv preprint arXiv:2404.00470, 2024
2024
A Deep Learning Model for Recognizing Pediatric Congenital Heart Diseases Using Phonocardiogram Signals
M Hassanuzzaman, NA Hasan, MA Al Mamun, KI Ahmed, AH Khandoker, ...
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
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