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Electric Impedance clinical trials

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NCT ID: NCT06359145 Recruiting - Clinical trials for Pulmonary Disease, Chronic Obstructive

Prediction of COPD Severity Using Electrical Impedance Tomography

Start date: April 1, 2023
Phase:
Study type: Observational

The purpose of this study is to predict the CT visual score of emphysema with EIT-based parameters, in order to provide a non-invasive and convenient method for the evaluation of lung structure and physiological and pathological progression of COPD.

NCT ID: NCT05964738 Recruiting - Heart Failure Clinical Trials

Effect of Diuretics Withdrawal in Chronic Heart Failure With Reduced Ejection Fraction

REDICAE
Start date: December 19, 2022
Phase: Phase 2
Study type: Interventional

REDICAE trial was designed to evaluate the safety and tolerability of diuretics withdrawal in stable, euvolemic chronic outpatients with heart failure with reduced ejection fraction. It is a single-center, randomized, open-label, phase II clinical trial.

NCT ID: NCT04989439 Recruiting - Ultrasonography Clinical Trials

Comparison of Computertomography Scan, Electrical Impedance Tomography, and Ultrasound of the Lung in Infants

Start date: July 19, 2021
Phase:
Study type: Observational

The study focuses on regional lung examination, in particular on the differentiation between collapsed and hyperinflated lung areas. The purpose of the study is to elaborate common and discriminative elements between different lung imaging modalities in infants and to generate hypotheses for the bedside use of EIT and LUS in infants.

NCT ID: NCT04989062 Recruiting - Clinical trials for Non-Alcoholic Fatty Liver Disease

Predicting Obesity Consequences Using Body Measure and Urine Metabolomics

Start date: August 1, 2020
Phase:
Study type: Observational

This is a prospective observational study which will recruit up to 1200 participants over a two-year period to investigate whether non-invasive methods such as bioelectrical impedance analysis parameters and urine metabolic profile are predictors for pediatric non-alcoholic liver disease.

NCT ID: NCT03994133 Recruiting - Clinical trials for Chronic Kidney Disease Requiring Chronic Dialysis

Body Composition Monitor Among Daily Home Dialysis With Low Flow Dialysate

VOLODIA
Start date: June 1, 2019
Phase:
Study type: Observational

The fluid overload measured by the Body Composition Monitor (BCM Fresenius Medical Care) is a new independent risk factor of mortality. This risk has already been described in intermittent hemodialysis patients and peritoneal dialysis patients but never evaluated in Daily Home Dialysis with low dialysate flow. The investigator propose a first study measuring the state of hydration by impedancemetry (BCM) in this population. The aim of this work is to to analyze hydration status in a representative sample of prevalent Daily Home Dialysis with low-flow Dialysate patients. Secondary objectives are to identify associations between hydration status and patient characteristics and treatment practice in order to find out which conditions should alert the clinician to potential fluid overload, to compare these results with the peritoneal dialysis population and in center hemodialysis population, to evaluate the correlation between impedancemetry and blood pressure in this population, to assess the nutritional status and evaluation of a new method of measurement of kt / V based on impedancemetry, without recourse to a blood test.

NCT ID: NCT02589899 Recruiting - Human Clinical Trials

Monitoring of Needle-placement With Multiple Frequency Bioimpedance Monitoring

Start date: October 2015
Phase: N/A
Study type: Observational

A novel algorithm for bioimpedance measurements to detect nerve tissue, and discriminate it from other tissue types has been developed in a porcine model, by analysing a complex impedance dataset based on multiple measurement frequencies. It must now be confirm that the previous results are applicable in humans. Measurements from 24 predefined needle positions will be obtained in 16 of the 32 volunteers that are included in the study (part A). A new algorithm to detect nerve tissue will be developed based on these measurement results. Further impedance algorithms will be developed for other tissue type. The efficacy of the algorithms (sensitivity and specificity) will be evaluated in the 16 following volunteers (part B).