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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

  • Biomed Eng Lett.
  • 2018 Feb;8(1):127-136.
  • doi: 10.1007/s13534-017-0054-z
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...
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

  • Biomed Eng Lett.
  • 2018 Feb;8(1):117-125.
  • doi: 10.1007/s13534-017-0053-0
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...
Elastography for portable ultrasound

Shin B, Jeon S, Ryu J, Kwon HJ

  • Biomed Eng Lett.
  • 2018 Feb;8(1):101-116.
  • doi: 10.1007/s13534-017-0052-1
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...
Obstructive sleep apnoea detection using convolutional neural network based deep learning framework

Dey D, Chaudhuri , Munshi S

  • Biomed Eng Lett.
  • 2018 Feb;8(1):95-100.
  • doi: 10.1007/s13534-017-0055-y
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...
The research of sleep staging based on single-lead electrocardiogram and deep neural network

Wei R, Zhang X, Wang J, Dang X

  • Biomed Eng Lett.
  • 2018 Feb;8(1):87-93.
  • doi: 10.1007/s13534-017-0044-1
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....
Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks

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

  • Biomed Eng Lett.
  • 2018 Feb;8(1):77-85.
  • doi: 10.1007/s13534-017-0046-z
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)...
Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method

Billah M, Waheed S

  • Biomed Eng Lett.
  • 2018 Feb;8(1):69-75.
  • doi: 10.1007/s13534-017-0048-x
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...
Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation

Relan D, Relan R

  • Biomed Eng Lett.
  • 2018 Feb;8(1):59-68.
  • doi: 10.1007/s13534-017-0040-5
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...
Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy

Mansour RF

  • Biomed Eng Lett.
  • 2018 Feb;8(1):41-57.
  • doi: 10.1007/s13534-017-0047-y
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)...
Performance of machine learning methods in diagnosing Parkinson's disease based on dysphonia measures

Lahmiri S, Dawson DA, Shmuel A

  • Biomed Eng Lett.
  • 2018 Feb;8(1):29-39.
  • doi: 10.1007/s13534-017-0051-2
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...
Computer-assisted brain tumor type discrimination using magnetic resonance imaging features

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

  • Biomed Eng Lett.
  • 2018 Feb;8(1):5-28.
  • doi: 10.1007/s13534-017-0050-3
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...
Machine learning in biomedical engineering

Park C, Took CC, Seong JK

  • Biomed Eng Lett.
  • 2018 Feb;8(1):1-3.
  • doi: 10.1007/s13534-018-0058-3
No abstract available.

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