10 Result(s)
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Oluwarotimi Williams Samuel
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Article
Open AccessSurface electromyogram, kinematic, and kinetic dataset of lower limb walking for movement intent recognition
Surface electromyogram (sEMG) offers a rich set of motor information for decoding limb motion intention that serves as a control input to Intelligent human-machine synergy systems (IHMSS). Despite growing inte...
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Article
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems
Upper extremity (UE) neuromuscular dysfunction critically affects post-stroke patients from performing activities of daily life. In this regard, various rehabilitation robotics have been developed for providin...
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Chapter and Conference Paper
A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection
This work proposes a hybrid brain-computer interface (HBCI) using Bayesian method to fuse information from electroencephalography (EEG) and electromyography signals (EMG) for decoding movement intention. For E...
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Article
Open AccessTowards image-based cancer cell lines authentication using deep neural networks
Although short tandem repeat (STR) analysis is available as a reliable method for the determination of the genetic origin of cell lines, the occurrence of misauthenticated cell lines remains an important issue...
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Chapter and Conference Paper
A Hybrid Non-invasive Method for the Classification of Amputee’s Hand and Wrist Movements
The quest to develop dexterous artificial arm which supports multiple degrees of freedom for amputees has attracted a lot of study interest in the last few decades. The outcome of some of the studies had ident...
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Chapter and Conference Paper
Comparison of the Correlation of Different Pulse Transit Time Parameters to Blood Pressure
Estimation of blood pressure (BP) based on pulse transit time (PTT) is of great interest since it can estimate BP continuously and cufflessly. In previous studies, different character points were available in ...
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Chapter
Realizing Efficient EMG-Based Prosthetic Control Strategy
As an integral part of the body, the limb poses dexterous and fine motor gras** and sensing capabilities that enable humans to effectively communicate with their environment during activities of daily living...
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Article
Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors
To control multiple degrees of freedom (MDoF) upper limb prostheses, pattern recognition (PR) of electromyogram (EMG) signals has been successfully applied. This technique requires amputees to provide sufficie...
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Article
Open AccessA motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
Most of the modern motorized prostheses are controlled with the surface electromyography (sEMG) recorded on the residual muscles of amputated limbs. However, the residual muscles are usually limited, especiall...
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Chapter
Activity Recognition Based on Pattern Recognition of Myoelectric Signals for Rehabilitation
Limb-amputation, stroke, trauma, and some other congenital anomalies not only decrease patients’ quality of life but also cause severe psychological burdens to them. Several advanced rehabilitation technologie...
