AIMC Topic: Biomedical Engineering

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Bio-Inspired Soft Grippers Based on Impactive Gripping.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 2, 2021
Grasping and manipulation are fundamental ways for many creatures to interact with their environments. Different morphologies and grasping methods of "grippers" are highly evolved to adapt to harsh survival conditions. For example, human hands and bi...
Hand Strength Robotics Equipment Design Biomedical Engineering
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Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review.

IEEE reviews in biomedical engineering Jan 26, 2021
Sign language is used as a primary form of communication by many people who are Deaf, deafened, hard of hearing, and non-verbal. Communication barriers exist for members of these populations during daily interactions with those who are unable to unde...
Humans Machine Learning Wearable Electronic Devices Gestures Electromyography Biomedical Engineering Sign Language
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Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.

IEEE transactions on biomedical circuits and systems Dec 31, 2020
The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors has brought on new opportunities for applying both Deep and Spiking Neural Network (SNN) algorithms to healthcare and biomedical applications at the edge. This can fa...
Point-of-Care Systems Deep Learning Signal Processing, Computer-Assisted Electromyography Internet of Things Biomedical Engineering Humans Algorithms Computers
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Recursive Threshold Logic-A Bioinspired Reconfigurable Dynamic Logic System With Crossbar Arrays.

IEEE transactions on biomedical circuits and systems Dec 31, 2020
The neuron behavioral models are inspired by the principle of the firing of neurons, and weighted accumulation of charge for a given set of input stimuli. Biological neurons show dynamic behavior through its feedback and feedforward time-dependent re...
Biomedical Engineering Models, Neurological Equipment Design Neural Networks, Computer Semiconductors
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Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.

Journal of healthcare engineering Oct 29, 2020
COVID-19 presents an urgent global challenge because of its contagious nature, frequently changing characteristics, and the lack of a vaccine or effective medicines. A model for measuring and preventing the continued spread of COVID-19 is urgently re...
Physical Distancing Biomedical Engineering Disease Susceptibility Basic Reproduction Number Computer Simulation COVID-19 Stochastic Processes Female Algorithms Male SARS-CoV-2 Forecasting Saudi Arabia Humans Models, Biological Delivery of Health Care Machine Learning Quarantine Pandemics
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Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.

Scientific reports Oct 16, 2020
This paper introduces a study on the classification of aortic stenosis (AS) based on cardio-mechanical signals collected using non-invasive wearable inertial sensors. Measurements were taken from 21 AS patients and 13 non-AS subjects. A feature analy...
Female Reproducibility of Results Aged Male Neural Networks, Computer Machine Learning Algorithms Aortic Valve Stenosis Decision Trees Signal Processing, Computer-Assisted Heart Middle Aged Deep Learning Pilot Projects Humans Biomedical Engineering Elasticity Wavelet Analysis Finite Element Analysis
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Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach.

Journal of healthcare engineering Aug 11, 2020
Coronavirus Disease (COVID19) is a fast-spreading infectious disease that is currently causing a healthcare crisis around the world. Due to the current limitations of the reverse transcription-polymerase chain reaction (RT-PCR) based tests for detect...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral COVID-19 Testing Thorax Biomedical Engineering Humans Neural Networks, Computer Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Coronavirus Infections Pandemics COVID-19 Databases, Factual
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Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation.

Medical & biological engineering & computing Jul 17, 2020
The segmentation of the lesion plays a core role in diagnosis and monitoring of multiple sclerosis (MS). Magnetic resonance imaging (MRI) is the most frequent image modality used to evaluate such lesions. Because of the massive amount of data, manual...
Neural Networks, Computer Brain Deep Learning Magnetic Resonance Imaging Fuzzy Logic Models, Statistical Multiple Sclerosis Humans Image Interpretation, Computer-Assisted Neuroimaging Biomedical Engineering
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Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.

Medical & biological engineering & computing Jul 16, 2020
Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-computer interface (BCI). However, labeled EEG samples are generally scarce and expensive to collect, while unlabeled samples are considered to be abun...
Support Vector Machine Least-Squares Analysis Electroencephalography Benchmarking Humans Supervised Machine Learning Neural Networks, Computer Brain-Computer Interfaces Algorithms Biomedical Engineering Imagination Databases, Factual
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Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.

Medical & biological engineering & computing Jul 7, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Markov Chains Wavelet Analysis Models, Cardiovascular Biomedical Engineering Heart Sounds Phonocardiography Algorithms Cardiovascular Diseases Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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