E. Nsugbe

发表

Estimation of online particle size distribution of a particle mixture in free fall with acoustic emission

I. Jennions, E. Nsugbe, A. Starr, 2018, Particulate Science and Technology.

Estimation of powder mass flow rate in a screw feeder using acoustic emissions

A. Starr, E. Nsugbe, C. Ruiz-Carcel, 2018, Powder Technology.

WITHDRAWN: Estimation of powder mass flow rate in a screw feeder using acoustic emissions

A. Starr, E. Nsugbe, C. Ruiz-Carcel, 2017 .

On the Application of Metaheuristics and Deep Wavelet Scattering Decompositions for the Prediction of Adolescent Psychosis Using EEG Brain Wave Signals

E. Nsugbe, 2022, Digital Technologies Research and Applications.

Multiscale depth of anaesthesia prediction for surgery using frontal cortex electroencephalography

E. Nsugbe, Stephanie Connelly, 2022, Healthcare technology letters.

A Pilot on Intelligence Fusion for Anesthesia Depth Prediction during Surgery using Frontal Cortex Neural Oscillations

E. Nsugbe, Stephanie Connelly, 2022, Biomedical Engineering Advances.

On an Affordable Approach towards the Diagnosis and Care for Prostate Cancer Patients Using Urine, FTIR and Prediction Machines

B. Goh, Hooi‐Leng Ser, E. Nsugbe, 2022, Diagnostics.

Artificial Intelligence-assisted Care for Human Newborns with Neurological Impairments

E. Nsugbe, 2022, Digital Technologies Research and Applications.

On the use of spectroscopy, prediction machines and cybernetics for an affordable and proactive care approach for endometrial cancer

E. Nsugbe, 2022, Biomedical Engineering Advances.

A pilot exploration on the use of NIR monitored haemodynamics in gesture recognition for transradial prosthesis control

Ejay Nsugbe, E. Nsugbe, 2021, Intell. Syst. Appl..

Towards the use of cybernetics for an enhanced cervical cancer care strategy

E. Nsugbe, 2022, Intelligent Medicine.

A cybernetic framework for predicting preterm and enhancing care strategies: a review

E. Nsugbe, 2021, Biomedical Engineering Advances.

Contrast of multi-resolution analysis approach to transhumeral phantom motion decoding

Guanglin Li, M. G. Asogbon, E. Nsugbe, 2021, CAAI Trans. Intell. Technol..

Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals

Oluwarotimi Williams Samuel, Guanglin Li, Mojisola Grace Asogbon, 2021, IET Cyber-Systems and Robotics.

On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines.

O. Samuel, J. Reyes-Lagos, E. Nsugbe, 2023, Healthcare technology letters.

Novel uterine contraction signals decomposition for enhanced preterm and birth imminency prediction

E. Nsugbe, 2022, Intell. Syst. Appl..

Shoulder girdle recognition using electrophysiological and low frequency anatomical contraction signals for prosthesis control

E. Nsugbe, Ali H. Al-timemy, 2021, CAAI Trans. Intell. Technol..

Enhancing care strategies for preterm pregnancies by using a prediction machine to aid clinical care decisions

Olusayo Obajemu, Ejay Nsugbe, Ibrahim Sanusi, 2021 .

Gesture recognition for transhumeral prosthesis control using EMG and NIR

Mike Fraser, Carol Phillips, Jess McIntosh, 2020, IET Cyber-Systems and Robotics.

Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions

Andrew Starr, Cristobal Ruiz-Carcel, Ian Jennions, 2018, Sensors.

Online particle size distribution estimation of a mixture of similar sized particles with acoustic emissions

Ian K. Jennions, Andrew Starr, Cristóbal Ruiz Cárcel, 2017 .

Particle Size Distribution Estimation of a Mixture of Regular and Irregular Sized Particles Using Acoustic Emissions

Ian K. Jennions, Andrew Starr, Cristobal Ruiz-Carcel, 2017 .

Size Differentiation Of A Continuous Stream Of Particles Using Acoustic Emissions

Andrew Starr, Cristobal Ruiz-Carcel, Ian K. Jennions, 2016 .

Monitoring the particle size distribution of a powder mixing process with acoustic emissions: a review

Andrew Starr, Cristóbal Ruiz Cárcel, Ejay Nsugbe, 2012 .

A study on preterm birth predictions using physiological signals, medical health record information and low‐dimensional embedding methods

Oluwarotimi William Samuel, Guanglin Li, M. G. Asogbon, 2021, IET Cyber-Systems and Robotics.

Application of noninvasive magnetomyography in labour imminency prediction for term and preterm pregnancies and ethnicity specific labour prediction

Oluwarotimi William Samuel, O. Obajemu, E. Nsugbe, 2021 .

Towards an affordable magnetomyography instrumentation and low model complexity approach for labour imminency prediction using a novel multiresolution analysis

Ejay Nsugbe, Ibrahim Sanusi, E. Nsugbe, 2021, Applied AI Letters.

Brain-machine and muscle-machine bio-sensing methods for gesture intent acquisition in upper-limb prosthesis control: a review

Ejay Nsugbe, E. Nsugbe, 2021, Journal of medical engineering & technology.

Ascertaining the optimal myoelectric signal recording duration for pattern recognition based prostheses control

Guanglin Li, Shixiong Chen, Frank Kulwa, 2023, Frontiers in Neuroscience.

A linearly extendible multi-artifact removal approach for improved upper extremity EEG-based motor imagery decoding.

Guanglin Li, E. Scheme, Xiangxin Li, 2021, Journal of neural engineering.

On the Early and Affordable Diagnosis of Joint Pathologies Using Acoustic Emissions, Deep Learning Decompositions and Prediction Machines

K. Dearn, E. Nsugbe, K. Olorunlambe, 2023, Sensors.

Particle size distribution estimation of a powder agglomeration process using acoustic emissions

E. Nsugbe, 2017 .

An artificial intelligence-based decision support system for early diagnosis of polycystic ovaries syndrome

E. Nsugbe, 2023, Healthcare Analytics.

Mathematical Psychiatry: On Cortical Spreading Depression—A Review

E. Nsugbe, 2023, Brain sciences.

High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control

Yazan Ali Jarrah, Guanglin Li, Xin Wang, 2022, Biomed. Signal Process. Control..

Predictive Glucose Monitoring for People with Diabetes Using Wearable Sensors

E. Nsugbe, D. Adams, 2021, Engineering Proceedings.

Towards an Affordable Means of Surgical Depth of Anesthesia Monitoring: An EMG-ECG-EEG Case Study

E. Nsugbe, Stephanie Connelly, Ian Mutanga, 2023, BioMedInformatics.

Enhanced Recognition of Adolescents with Schizophrenia and a Computational Contrast of their Neuroanatomy with Healthy Patients using Brainwave Signals

E. Nsugbe, 2023, Applied AI Letters.

A Pilot on the use of Stride Cadence for the Characterization of Walking Ability in Lower Limb Amputees

J. J. Reyes-Lagos, M. G. Asogbon, E. Nsugbe, 2024, Biomedical Engineering Advances.