Mohammed Alhatou
Orcid: 0000-0001-9795-6137
According to our database1,
Mohammed Alhatou
authored at least 10 papers
between 2022 and 2024.
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Bibliography
2024
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics.
Neural Comput. Appl., January, 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
2022
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.
Sensors, 2022
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.
Sensors, 2022
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait.
Sensors, 2022
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature.
CoRR, 2022
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations.
CoRR, 2022
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.
Comput. Biol. Medicine, 2022
Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis.
IEEE Access, 2022