Md. Ahasan Atick Faisal
Orcid: 0000-0003-3322-2913
According to our database1,
Md. Ahasan Atick Faisal
authored at least 11 papers
between 2020 and 2025.
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Bibliography
2025
A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals.
Biomed. Signal Process. Control., 2025
2024
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics.
Neural Comput. Appl., January, 2024
QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning.
IEEE Access, 2024
2023
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern.
Appl. Intell., September, 2023
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals.
Biomed. Signal Process. Control., March, 2023
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals.
Biomed. Signal Process. Control., 2023
2022
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.
Sensors, 2022
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Comput. Biol. Medicine, 2022
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.
Comput. Biol. Medicine, 2022
2020
UPIC: user and position independent classical approach for locomotion and transportation modes recognition.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
A pragmatic signal processing approach for nurse care activity recognition using classical machine learning.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020