AIMC Topic: Signal Processing, Computer-Assisted

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Turn Intent Detection For Control of a Lower Limb Prosthesis.

IEEE transactions on bio-medical engineering
OBJECTIVE: An adaptable lower limb prosthesis with variable stiffness in the transverse plane requires a control method to effect changes in real time during amputee turning. This study aimed to identify classification algorithms that can accurately ...

The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.

Annals of biomedical engineering
The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during labour. A purpose built six-channel Electromyography (EMG) device was used to collect data from consent...

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.

IEEE transactions on bio-medical engineering
UNLABELLED: Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern r...

Translational Motion Tracking of Leg Joints for Enhanced Prediction of Walking Tasks.

IEEE transactions on bio-medical engineering
OBJECTIVE: Walking task prediction in powered leg prostheses is an important problem in the development of biomimetic prosthesis controllers. This paper proposes a novel method to predict upcoming walking tasks by estimating the translational motion ...

Exponential Stabilization of Memristive Neural Networks via Saturating Sampled-Data Control.

IEEE transactions on cybernetics
This paper is concerned with the exponential stabilization of memristive neural networks (MNNs) by taking into account the sampled-data control and actuator saturation. On the one hand, the MNNs are converted into a tractable model by defining a clas...

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

IEEE transactions on bio-medical engineering
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simult...

Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints.

IEEE transactions on cybernetics
This paper deals with the tracking control problem for a class of nonlinear multiple input multiple output unknown time-varying delay systems with full state constraints. To overcome the challenges which cause by the appearances of the unknown time-v...

Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks.

IEEE journal of biomedical and health informatics
Atopic dermatitis is a chronic inflammatory skin condition affecting both children and adults and is associated with pruritus. A method for objectively quantifying nocturnal scratching events could aid in the development of therapies for atopic derma...

Automated Spirometry Quality Assurance: Supervised Learning From Multiple Experts.

IEEE journal of biomedical and health informatics
Forced spirometry testing is gradually becoming available across different healthcare tiers including primary care. It has been demonstrated in earlier work that commercially available spirometers are not fully able to assure the quality of individua...

Scalable Device for Automated Microbial Electroporation in a Digital Microfluidic Platform.

ACS synthetic biology
Electrowetting-on-dielectric (EWD) digital microfluidic laboratory-on-a-chip platforms demonstrate excellent performance in automating labor-intensive protocols. When coupled with an on-chip electroporation capability, these systems hold promise for ...