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First demonstration of velocity selective recording from the pig vagus using a nerve cuff shows respiration afferents

Metcalfe B, Nielsen TN, Donaldson , Hunter AJ, Taylor JT

Neural interfaces have great potential to treat disease and disability by modulating the electrical signals within the nervous system. However, whilst neural stimulation is a well-established technique, current neural interfaces...
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A computational model of ureteral peristalsis and an investigation into ureteral reflux

Hosseini G, Ji C, Xu D, Rezaienia , Avital E, Munjiza A, Williams J, Green JS

The aim of this study is to create a computational model of the human ureteral system that accurately replicates the peristaltic movement of the ureter for a variety of physiological...
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Elastography for portable ultrasound

Shin B, Jeon S, Ryu J, Kwon HJ

Portable wireless ultrasound has been emerging as a new ultrasound device due to its unique advantages including small size, lightweight, wireless connectivity and affordability. Modern portable ultrasound devices can offer...
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Obstructive sleep apnoea detection using convolutional neural network based deep learning framework

Dey D, Chaudhuri , Munshi S

This letter presents an automated obstructive sleep apnoea (OSA) detection method with high accuracy, based on a deep learning framework employing convolutional neural network. The proposed work develops a system...
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The research of sleep staging based on single-lead electrocardiogram and deep neural network

Wei R, Zhang X, Wang J, Dang X

The polysomnogram (PSG) analysis is considered the golden standard for sleep staging under the clinical environment. The electroencephalogram (EEG) signal is the most important signal for classification of sleep stages....
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Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks

Beritelli , Capizzi G, Lo Sciuto , Napoli C, Scaglione

The paper proposes a new approach to heart activity diagnosis based on Gram polynomials and probabilistic neural networks (PNN). Heart disease recognition is based on the analysis of phonocardiogram (PCG)...
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Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method

Billah M, Waheed S

Gastrointestinal polyps are treated as the precursors of cancer development. So, possibility of cancers can be reduced at a great extent by early detection and removal of polyps. The most...
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Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation

Relan D, Relan R

Digital images often suffer from contrast variability and non-uniform illumination, which seriously affect the evaluation of biomarkers such as the arteriolar to venular ratio. This biomarker provides valuable information about...
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Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy

Mansour RF

The high-pace rise in advanced computing and imaging systems has given rise to a new research dimension called computer-aided diagnosis (CAD) system for various biomedical purposes. CAD-based diabetic retinopathy (DR)...
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Performance of machine learning methods in diagnosing Parkinson's disease based on dysphonia measures

Lahmiri S, Dawson DA, Shmuel A

Parkinson's disease (PD) is a widespread degenerative syndrome that affects the nervous system. Its early appearing symptoms include tremor, rigidity, and vocal impairment (dysphonia). Consequently, speech indicators are important in...
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Computer-assisted brain tumor type discrimination using magnetic resonance imaging features

Iqbal S, Ghani Khan MU, Saba T, Rehman A

Medical imaging plays an integral role in the identification, segmentation, and classification of brain tumors. The invention of MRI has opened new horizons for brain-related research. Recently, researchers have shifted...
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Machine learning in biomedical engineering

Park C, Took CC, Seong JK

No abstract available.
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