AIMC Topic: Signal Processing, Computer-Assisted

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Deep-learned spike representations and sorting via an ensemble of auto-encoders.

Neural networks : the official journal of the International Neural Network Society Nov 27, 2020
Spike sorting refers to the technique of detecting signals generated by single neurons from multi-neuron recordings and is a valuable tool for analyzing the relationships between individual neuronal activity patterns and specific behaviors. Since the...
Action Potentials Machine Learning Signal Processing, Computer-Assisted Algorithms Neurons Databases, Factual Deep Learning
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EEG-based trial-by-trial texture classification during active touch.

Scientific reports Nov 27, 2020
Trial-by-trial texture classification analysis and identifying salient texture related EEG features during active touch that are minimally influenced by movement type and frequency conditions are the main contributions of this work. A total of twelve...
Brain Fingers Humans Support Vector Machine Female Movement Algorithms Electroencephalography Adult Touch Perception Signal Processing, Computer-Assisted Male Form Perception Healthy Volunteers Surface Properties
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Prediction of response to cardiac resynchronization therapy using a multi-feature learning method.

The international journal of cardiovascular imaging Nov 23, 2020
We hypothesized that a multiparametric evaluation, based on the combination of electrocardiographic and echocardiographic parameters, could enhance the appraisal of the likelihood of reverse remodeling and prognosis of favorable clinical evolution to...
Male Ventricular Function, Left Stroke Volume Middle Aged Time Factors Electrocardiography Treatment Outcome Europe Recovery of Function Predictive Value of Tests Machine Learning Decision Support Techniques Retrospective Studies Female Aged Humans Echocardiography, Doppler Signal Processing, Computer-Assisted Cardiac Resynchronization Therapy Devices Heart Failure Cardiac Resynchronization Therapy Image Interpretation, Computer-Assisted
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Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

ACS nano Nov 23, 2020
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics of infectious diseases. However, the high variability in cellphone image data acquisition and the common need for l...
Humans Neural Networks, Computer COVID-19 Reproducibility of Results Disaster Planning Public Health Communicable Disease Control Point-of-Care Testing Antigens, Viral Deep Learning Signal Processing, Computer-Assisted Image Processing, Computer-Assisted Platinum Smartphone Telemedicine Metal Nanoparticles COVID-19 Testing CRISPR-Cas Systems
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Detection of cellular micromotion by advanced signal processing.

Scientific reports Nov 18, 2020
Cellular micromotion-a tiny movement of cell membranes on the nm-µm scale-has been proposed as a pathway for inter-cellular signal transduction and as a label-free proxy signal to neural activity. Here we harness several recent approaches of signal p...
Image Processing, Computer-Assisted Cell Movement Signal Processing, Computer-Assisted Humans Neurons Neural Networks, Computer Video Recording Computer Graphics Imaging, Three-Dimensional
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Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.

Circulation. Arrhythmia and electrophysiology Nov 13, 2020
BACKGROUND: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI-enabled electrocardiogr...
Heart Conduction System Atrial Fibrillation Heart Rate Incidence Electrocardiography Action Potentials Predictive Value of Tests Signal Processing, Computer-Assisted Aged Aged, 80 and over Humans Male Risk Assessment Machine Learning Female Risk Factors
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Prediction of vascular aging based on smartphone acquired PPG signals.

Scientific reports Nov 12, 2020
Photoplethysmography (PPG) measured by smartphone has the potential for a large scale, non-invasive, and easy-to-use screening tool. Vascular aging is linked to increased arterial stiffness, which can be measured by PPG. We investigate the feasibilit...
Smartphone Photoplethysmography Signal Processing, Computer-Assisted Vascular Diseases Heart Rate Aging Middle Aged Deep Learning Adolescent Humans Neural Networks, Computer Female Aged Young Adult Adult Male
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Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.

Circulation research Nov 10, 2020
RATIONALE: Susceptibility to VT/VF (ventricular tachycardia/fibrillation) is difficult to predict in patients with ischemic cardiomyopathy either by clinical tools or by attempting to translate cellular mechanisms to the bedside.
Female Risk Factors Aged Aged, 80 and over Male Humans Neural Networks, Computer Phenotype Prospective Studies Prognosis Tachycardia, Ventricular Cardiomyopathies Ventricular Fibrillation Death, Sudden, Cardiac Electrophysiologic Techniques, Cardiac Support Vector Machine Middle Aged Action Potentials Risk Assessment Predictive Value of Tests Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Time Factors Myocardial Infarction
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Feasibility study of range verification based on proton-induced acoustic signals and recurrent neural network.

Physics in medicine and biology Nov 5, 2020
Range verification in proton therapy is a critical quality assurance task. We studied the feasibility of online range verification based on proton-induced acoustic signals, using a bidirectional long-short-term-memory recurrent neural network and var...
Acoustics Radiotherapy Dosage Humans Monte Carlo Method Neural Networks, Computer Phantoms, Imaging Signal Processing, Computer-Assisted Proton Therapy Feasibility Studies
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DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning.

eLife Nov 3, 2020
Single-molecule Förster Resonance energy transfer (smFRET) is an adaptable method for studying the structure and dynamics of biomolecules. The development of high throughput methodologies and the growth of commercial instrumentation have outpaced the...
Nanotechnology Markov Chains Fluorescence Resonance Energy Transfer Software False Positive Reactions Algorithms Single Molecule Imaging Reproducibility of Results Fluorescent Dyes Deep Learning Signal Processing, Computer-Assisted User-Computer Interface Kinetics Molecular Dynamics Simulation Normal Distribution
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