AIMC Topic: Electric Impedance

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Development of a Planar Haptic Robot With Minimized Impedance.

IEEE transactions on bio-medical engineering Apr 22, 2021
Several studies have reported that stroke survivors displayed improved voluntary planar movements when forces supporting the upper limb increased, and when impeding forces decreased. Earlier haptic devices interacting with the human upper limb were p...
Movement Upper Extremity Stroke Rehabilitation Humans Robotics Electric Impedance
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Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach.

Sensors (Basel, Switzerland) Apr 8, 2021
Impedance pneumography has been suggested as an ambulatory technique for the monitoring of respiratory diseases. However, its ambulatory nature makes the recordings more prone to noise sources. It is important that such noisy segments are identified ...
Support Vector Machine Electric Impedance Artifacts Neural Networks, Computer Machine Learning Algorithms Humans
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Effects of a 14-Day Hydration Intervention on Individuals with Habitually Low Fluid Intake.

Annals of nutrition & metabolism Mar 29, 2021
BACKGROUND: Debate continues over whether or not individuals with low total water intake (TWI) are in a chronic fluid deficit (i.e., low total body water) [1]. When women with habitually low TWI (1.6 ± 0.5 L/da...
Drinking Body Water Adult Dehydration Humans Electric Impedance Male Female Organism Hydration Status Water Osmolar Concentration
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Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Feb 18, 2021
OBJECTIVE: Medical electrical impedance tomography is a non-ionizing imaging modality in which low-amplitude, low-frequency currents are applied on electrodes on the body, the resulting voltages are measured, and an inverse problem is solved to deter...
Deep Learning Algorithms Image Processing, Computer-Assisted Phantoms, Imaging Electric Impedance Tomography
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A deep neural network for estimating the bladder boundary using electrical impedance tomography.

Physiological measurement Dec 18, 2020
OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicians, enabling them to provide better treatment for patients who are suffering from urinary incontinence. Electrical impedance tomography (EIT) is a non...
Humans Neural Networks, Computer Urinary Bladder Tomography Algorithms Electric Impedance
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Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

Journal of gastroenterology Nov 5, 2020
BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Feasibility Studies Electric Impedance Linear Models Case-Control Studies ROC Curve Treatment Outcome Esophageal pH Monitoring Proof of Concept Study Gastroesophageal Reflux Proton Pump Inhibitors Prospective Studies Female Aged Adult Male Middle Aged Humans Artificial Intelligence
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Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis.

Physiological measurement Aug 11, 2020
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfull...
Image Processing, Computer-Assisted Support Vector Machine Humans Stroke Electric Impedance Machine Learning Finite Element Analysis Algorithms Tomography
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Neural network-based supervised descent method for 2D electrical impedance tomography.

Physiological measurement Aug 11, 2020
OBJECTIVE: In this work, we study the application of the neural network-based supervised descent method (NN-SDM) for 2D electrical impedance tomography.
Tomography Neural Networks, Computer Electric Impedance
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Achalasia subtypes can be identified with functional luminal imaging probe (FLIP) panometry using a supervised machine learning process.

Neurogastroenterology and motility Jul 1, 2020
BACKGROUND: Achalasia subtypes on high-resolution manometry (HRM) prognosticate treatment response and help direct management plan. We aimed to utilize parameters of distension-induced contractility and pressurization on functional luminal imaging pr...
Middle Aged Organ Size Esophagus Supervised Machine Learning Electric Impedance Manometry Aged Adult Diagnostic Techniques, Digestive System Male Endoscopy, Digestive System Humans Esophageal Achalasia Female
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Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning.

Computational and mathematical methods in medicine Jun 11, 2020
This paper proposes a deep learning method based on electrical impedance tomography (EIT) to estimate the thickness of abdominal subcutaneous fat. EIT for evaluating the thickness of abdominal subcutaneous fat is an absolute imaging problem that aims...
Computer Simulation Tomography, X-Ray Computed Deep Learning Humans Phantoms, Imaging Computational Biology Neural Networks, Computer Tomography Image Interpretation, Computer-Assisted Algorithms Electric Impedance Subcutaneous Fat, Abdominal
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