Mojisola Grace Asogbon
Orcid: 0009-0006-1503-9356
According to our database1,
Mojisola Grace Asogbon
authored at least 40 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.
IEEE Trans. Hum. Mach. Syst., February, 2024
A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization.
Biomed. Signal Process. Control., 2024
Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running.
Biomed. Signal Process. Control., September, 2023
Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems.
IEEE Trans. Biomed. Eng., May, 2023
A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Enhanced Deep Transfer Learning Model based on Spatial-Temporal driven Scalograms for Precise Decoding of Motor Intent in Stroke Survivors.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Analysis of Artifactual Components Rejection Threshold towards Enhanced Characterization of Neural Activity in Post-Stroke Survivor.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
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
Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification.
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
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems.
Neural Comput. Appl., 2021
GBRAMP: A generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction.
Comput. Electr. Eng., 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 Comparative Analysis on the Impact of Linear and Non-Linear Filtering Techniques on EMG Signal Quality of Transhumeral Amputees.
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
2020
Appropriate Feature Set and Window Parameters Selection for Efficient Motion Intent Characterization towards Intelligently Smart EMG-PR System.
Symmetry, 2020
Int. J. Hum. Cap. Inf. Technol. Prof., 2020
A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks.
Future Gener. Comput. Syst., 2020
Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses.
Comput. Methods Programs Biomed., 2020
Efficient Classification of Motor Imagery using Particle Swarm Optimization-based Neural Network for IoT Applications.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
Enhancement of Upper Limb Movement Classification based on Wiener Filtering Technique.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Characterizing Multiple Patterns of Motor Intent Using Spatial-Temporal Information for Intuitively Active Motor Training in Stroke Survivors.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Robustness of Muscle Synergies under Variant Muscle Contraction Force during Forearm Movements.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects.
IEEE Access, 2019
Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A Channel Selection Approach Based on Convolutional Neural Network for Multi-channel EEG Motor Imagery Decoding.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019
2018
Comput. Electr. Eng., 2018
A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery Tasks.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Efficient Channel Selection Approach for Motor Imaginary Classification based on Convolutional Neural Network.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Effect of Window Conditioning Parameters on the Classification Performance and Stability of EMG-Based Feature Extraction Methods.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
2017
An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction.
Expert Syst. Appl., 2017
Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses.
Comput. Biol. Medicine, 2017
2016
Comparative Analysis of Neural Network and Fuzzy Logic Techniques in Credit Risk Evaluation.
Int. J. Intell. Inf. Technol., 2016