Oluwarotimi Williams Samuel
Affiliations:- Chinese Academy of Sciences, Shenzhen, China
- Federal University of Technology Akure, Nigeria (former)
According to our database1,
Oluwarotimi Williams Samuel
authored at least 101 papers
between 2013 and 2024.
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Bibliography
2024
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach.
IEEE J. Biomed. Health Informatics, October, 2024
A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.
IEEE Trans. Hum. Mach. Syst., February, 2024
An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection.
J. Inf. Secur. Appl., February, 2024
Exploring EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries.
PeerJ Comput. Sci., 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
Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
An Attention-based Bidirectional LSTM Model for Continuous Cross-Subject Estimation of Knee Joint Angle during Running from sEMG Signals.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
A Novel Metric based on Bootstrapping Approach for sEMG Signal Quality Assessment Towards Robust Decoding of Lower Limb Locomotion.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
2022
Myoelectric Control With Fixed Convolution-Based Time-Domain Feature Extraction: Exploring the Spatio-Temporal Interaction.
IEEE Trans. Hum. Mach. Syst., 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
A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography.
IEEE Robotics Autom. Lett., 2021
A Novel and Efficient Feature Extraction Method for Deep Learning Based Continuous Estimation.
IEEE Robotics Autom. Lett., 2021
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems.
Neural Comput. Appl., 2021
Lagrangian-averaged vorticity deviation of spiraling blood flow in the heart during isovolumic contraction and ejection phases.
Medical Biol. Eng. Comput., 2021
An integrated deep learning model for motor intention recognition of multi-class EEG Signals in upper limb amputees.
Comput. Methods Programs Biomed., 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 new strategy based on feature filtering technique for improving the real-time control performance of myoelectric prostheses.
Biomed. Signal Process. Control., 2021
Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application.
Biomed. Signal Process. Control., 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 Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021
A Pilot Study on the Performance of Time-Domain Features in Speech Recognition based on high-density sEMG.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction.
Comput. Math. Methods Medicine, 2020
Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach.
Biomed. Signal Process. Control., 2020
The Effects of Electrode Locations on Silent Speech Recognition using High-Density sEMG.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
A Pilot Study on Auditory Brainstem Response Evoked with Randomized Stimulation Rate.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
A New Approach for Hand Gesture Recognition Based on the Fusion of sEMG and Impedance Information.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 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
Appropriate Mother Wavelets for Continuous Gait Event Detection Based on Time-Frequency Analysis for Hemiplegic and Healthy Individuals.
Sensors, 2019
OMDP: An ontology-based model for diagnosis and treatment of diabetes patients in remote healthcare systems.
Int. J. Distributed Sens. Networks, 2019
A joint resource-aware and medical data security framework for wearable healthcare systems.
Future Gener. Comput. Syst., 2019
Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 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
Comparing Auditory Brainstem Responses evoked by Click and Sweep-Tone in Normal-Hearing Adults.
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
Facial Features Extraction Based on Distance and Area of Points for Expression Recognition.
Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019
2018
Muscle Activity-Driven Green-Oriented Random Number Generation Mechanism to Secure WBSN Wearable Device Communications.
Wirel. Commun. Mob. Comput., 2018
Intelligent computing system based on pattern recognition and data mining algorithms.
Sustain. Comput. Informatics Syst., 2018
Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm.
Comput. Electr. Eng., 2018
Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification.
Comput. Electr. Eng., 2018
Comput. Electr. Eng., 2018
Comput. Electr. Eng., 2018
A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control.
IEEE Access, 2018
Using Muscle Synergy to Evaluate the Neck Muscular Activities during Normal Swallowing.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Pilot Study on Using Forcemyography to Record Upper-limb Movements for Human-machine Interactive Control.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Normalization factor for the assessment of elbow spasticity with passive stretch measurement: maximum torque VS. body weight.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
A Novel Flexible Sensor for Muscle Shape Change Monitoring in Limb Motion Recognition.
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
Influence of Functional Electrical Stimulation on Muscle and Nerve Rehabilitation in Post Targeted Muscle Reinnervation Surgery.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Improving the Robustness of Myoelectric Control System Using Linear Regression Classifier.
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
Sensors, 2017
Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.
J. Medical Syst., 2017
Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing Strategy.
Frontiers Neurorobotics, 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
Real-time classification of forearm movements based on high density surface electromyography.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017
Identification of isotonic forearm motions using muscle synergies for brain injured patients.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
A pilot study on the evaluation of normal phonating function based on high-density sEMG topographic maps.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Electromyogram-based method to secure wireless body sensor networks for rehabilitation systems.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A new EMG-based index towards the assessment of elbow spasticity for post-stroke patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Motor imagery classification of upper limb movements based on spectral domain features of EEG patterns.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Using a new PPG indicator to increase the accuracy of PTT-based continuous cuffless blood pressure estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Activity Recognition Based on Pattern Recognition of Myoelectric Signals for Rehabilitation.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017
2016
Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm.
Sensors, 2016
Comparative Analysis of Neural Network and Fuzzy Logic Techniques in Credit Risk Evaluation.
Int. J. Intell. Inf. Technol., 2016
A preliminary evaluation of myoelectrical energy distribution of the front neck muscles in pharyngeal phase during normal swallowing.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
A new approach to mitigate the effect of force variation on pattern recognition for myoelectric control.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
A Fuzzy-Based Recommender System for Electronic Products Selection using Users' Requirements and Other Users' Opinion.
Int. J. Fuzzy Syst. Appl., 2015
Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, 2015
Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015
2014
Int. J. Web Based Learn. Teach. Technol., 2014
2013
Int. J. Inf. Retr. Res., 2013
A web based decision support system driven by fuzzy logic for the diagnosis of typhoid fever.
Expert Syst. Appl., 2013