AIMC Journal:
Medical & biological engineering & computing

Showing 281 to 290 of 330 articles

Intelligent prediction of kinetic parameters during cutting manoeuvres.

Medical & biological engineering & computing Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Humans Neural Networks, Computer Reproducibility of Results Biomechanical Phenomena Analysis of Variance Knee Joint Hip Joint Models, Biological Athletes Ankle Joint Movement
View on PubMed DOI

Equivalent circuit models for a biomembrane impedance sensor and analysis of electrochemical impedance spectra based on support vector regression.

Medical & biological engineering & computing Apr 2, 2019
In this study, an electrochemical impedance biosensor was developed as a simple and fast method for real-time monitoring of biofilm binding properties via continuous impedance spectroscopy. To prepare the sensing membrane, cells were immobilized onto...
Dielectric Spectroscopy Support Vector Machine Cells, Immobilized Collodion MCF-7 Cells Principal Component Analysis Electric Impedance Membranes, Artificial Cell Count Electrodes Humans Biosensing Techniques
View on PubMed DOI

Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network.

Medical & biological engineering & computing Mar 21, 2019
Laryngeal endoscopy is one of the primary diagnostic tools for laryngeal disorders. The main techniques are videostroboscopy and lately high-speed video endoscopy. Unfortunately, due to the restricting anatomy of the larynx and technical limitations ...
Humans Neural Networks, Computer Image Enhancement Laryngoscopy Reproducibility of Results Deep Learning Video Recording
View on PubMed DOI

EEG-based mild depression recognition using convolutional neural network.

Medical & biological engineering & computing Feb 19, 2019
Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods, while those on mild depression are yet in infancy, especially in effective monitoring and quantitative measure aspects. Aiming at mild depression re...
Case-Control Studies Diagnosis, Computer-Assisted Depression Adolescent Female Young Adult Male Electroencephalography Electrodes Time Factors Image Processing, Computer-Assisted Emotions Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Fluorescence microscopy image classification of 2D HeLa cells based on the CapsNet neural network.

Medical & biological engineering & computing Jan 28, 2019
The development of computer technology now allows the quick and efficient automatic fluorescence microscopy generation of a large number of images of proteins in specific subcellular compartments using fluorescence microscopy. Digital image processin...
Support Vector Machine Microscopy, Fluorescence HeLa Cells Actins Humans Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

From deep learning to transfer learning for the prediction of skeletal muscle forces.

Medical & biological engineering & computing Dec 14, 2018
Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural networks. Neural network (NN) approach has the advantages of real-time estimation ability and promising prediction accuracy. However, most of the developed NN model...
Walking Gait Female Models, Biological Biomechanical Phenomena Child Deep Learning Humans Male Muscle, Skeletal Neural Networks, Computer Adolescent Databases, Factual
View on PubMed DOI

A reliable method for colorectal cancer prediction based on feature selection and support vector machine.

Medical & biological engineering & computing Nov 26, 2018
Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths per year worldwide. Thus, it is very important to find the related factors and detect the cancer accurately. However, timely and accurate prediction of the diseas...
Colorectal Neoplasms ROC Curve Logistic Models Body Mass Index Humans Support Vector Machine Reproducibility of Results Area Under Curve Sensitivity and Specificity Models, Biological
View on PubMed DOI

Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model.

Medical & biological engineering & computing Nov 23, 2018
The aim of medical image fusion is to improve the clinical diagnosis accuracy, so the fused image is generated by preserving salient features and details of the source images. This paper designs a novel fusion scheme for CT and MRI medical images bas...
Neurons Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Models, Neurological Brain Tomography, X-Ray Computed
View on PubMed DOI

A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.

Medical & biological engineering & computing Nov 3, 2018
This paper presents a unified approach based on the recurrence quantification analysis (RQA) and approximate entropy (ApEn) for the classification of heart rate variability (HRV). In this paper, the optimum tolerance threshold (r) corresponding to Ap...
Aged Aged, 80 and over Adult Age Factors Data Interpretation, Statistical Middle Aged Support Vector Machine Humans Neural Networks, Computer Databases, Factual Models, Cardiovascular Heart Rate Nonlinear Dynamics Entropy
View on PubMed DOI

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.

Medical & biological engineering & computing Oct 22, 2018
Recently, researchers have built new deep learning (DL) models using a single image modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical coherence tomography (OCT) images in clinical settings are the most important ...
Deep Learning Macular Degeneration Databases, Factual Humans Image Processing, Computer-Assisted Tomography, Optical Coherence Reproducibility of Results Area Under Curve Neural Networks, Computer Fundus Oculi Diagnosis, Computer-Assisted Photography Algorithms
View on PubMed DOI
Popular Topics
Popular Journals