Ejay Nsugbe
Orcid: 0000-0003-0674-1611
According to our database1,
Ejay Nsugbe
authored at least 15 papers
between 2018 and 2023.
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Bibliography
2023
On the Early and Affordable Diagnosis of Joint Pathologies Using Acoustic Emissions, Deep Learning Decompositions and Prediction Machines.
Sensors, 2023
2022
On optimal and varying decompositions for transradial contraction force prediction in upper-limb prosthesis.
Intell. Syst. Appl., 2022
Novel uterine contraction signals decomposition for enhanced preterm and birth imminency prediction.
Intell. Syst. Appl., 2022
Shoulder girdle recognition using electrophysiological and low frequency anatomical contraction signals for prosthesis control.
CAAI Trans. Intell. Technol., 2022
High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control.
Biomed. Signal Process. Control., 2022
Intelligence Combiner: A Combination of Deep Learning and Handcrafted Features for an Adolescent Psychosis Prediction using EEG Signals.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022
On the Application of Parsimonious Models for Surgical Anesthesia Depth Prediction using EEG Recordings.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022
Performance Evaluation of HD-sEMG Electrode Configurations on Myoelectric Based Pattern Recognition System: High-Level Amputees.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022
2021
A pilot exploration on the use of NIR monitored haemodynamics in gesture recognition for transradial prosthesis control.
Intell. Syst. Appl., 2021
Contrast of multi-resolution analysis approach to transhumeral phantom motion decoding.
CAAI Trans. Intell. Technol., 2021
A Low Channel Number Sensing Approach for an Ethnic Specific Labour Immanency Prediction using Bio-Electromagnetism.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021
A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021
A Low-rank Spatiotemporal based EEG Multi-Artifacts Cancellation Method for Enhanced ConvNet-DL's Motor Imagery Characterization.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
HD-sEMG Signal Denoising Method for Improved Classification Performance in Transhumeral Amputees Pros thesis Control.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2018
Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions.
Sensors, 2018