Cardiac Measurement
Cardiac Measurement - Related Videos
05:04
In vitro Assessment of Cardiac Reprogramming by Measuring Cardiac Specific Calcium Flux with a GCaMP3 Reporter
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Cited by 4 •
2022
We describe here, the establishment and application of an Tg(Myh6-cre)1Jmk/J /Gt(ROSA)26Sortm38(CAG-GCaMP3)Hze/J (referred to as αMHC-Cre/Rosa26A-Flox-Stop-Flox-GCaMP3 below) mouse reporter line for cardiac reprogramming assessment. Neonatal cardiac fibroblasts (NCFs) isolated from the mouse strain are converted into induced cardiomyocytes (iCMs), allowing for convenient and efficient evaluation of reprogramming efficiency and functional maturation of iCMs via calcium (Ca2+) flux.
09:45
Measuring Cardiac Autonomic Nervous System (ANS) Activity in Children
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Cited by 37 •
2013
Measurement of autonomic nervous system activity usually confines the researcher and participant to the laboratory, which may provide an intimidating environment to children. The VU University Ambulatory Monitoring System (VU-AMS) device can record cardiac autonomic control in any setting. The VU-AMS proved very amenable to testing in children.
07:38
Cardiac Catheterization in Mice to Measure the Pressure Volume Relationship: Investigating the Bowditch Effect
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Cited by 10 •
2015
This article describes the measurement of murine left ventricular function via pressure/volume analysis at different heart rates.
06:22
Contractility Measurements on Isolated Papillary Muscles for the Investigation of Cardiac Inotropy in Mice
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Cited by 14 •
2015
Murine left ventricular papillary muscle can be used to investigate cardiac contractility in vitro. This article describes in detail the isolation and experimental protocols to study cardiac contractile characteristics.
08:22
Measuring Cardiac Autonomic Nervous System (ANS) Activity in Toddlers - Resting and Developmental Challenges
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Cited by 23 •
2016
We describe the methods for continuous monitoring of the autonomic nervous system under resting and challenge conditions with 18 month old children. Results revealed that this protocol can produce meaningful physiological responses in both branches of the autonomic nervous system and elicit significant individual variability in patterns of responses.
FAQs
Each modality samples a different aspect of cardiac performance. Electrocardiography records electrical activity, echocardiography evaluates structure and function, blood pressure monitoring captures pressure, cardiac imaging characterizes anatomy, and biomarkers indicate tissue injury. Interpreting these measurements together helps clinicians relate rhythm, chamber dimensions, blood flow, contractility, and injury rather than relying on a single measurement.
Cardiac measurement becomes clinically informative when its variables are interpreted in relation to one another. Electrical findings can be considered alongside chamber dimensions and contractility, while hemodynamic data and biomarkers add information about pressure, flow, and tissue injury. This multidimensional view supports recognition of arrhythmias and evaluation of overall cardiac function.
Standardization makes measurements comparable across examinations, patients, and research studies. Consistent assessment of cardiac structure, electrical activity, hemodynamics, performance, and biomarkers allows clinicians to track disease progression and judge whether treatment is changing the patient’s status. It also strengthens risk prediction and helps investigators compare findings when evaluating cardiovascular disorders or therapeutic strategies.
A measurement workflow begins by matching the clinical question with the relevant information: rhythm, structure, pressure, blood flow, contractility, or tissue injury. The corresponding tools may include electrocardiography, echocardiography, blood pressure monitoring, cardiac imaging, or biomarker analysis. Combining selected methods can provide a more complete assessment when one measurement cannot address every aspect of cardiac status.
During patient management, repeated measurements can show whether cardiac disease is progressing or responding to treatment. Changes in electrical activity may clarify arrhythmia-related concerns, whereas functional and hemodynamic measurements help evaluate performance. Biomarker results contribute evidence of tissue injury. Together, these outcomes support diagnosis, treatment assessment, and ongoing clinical decision-making.
In cardiovascular research, quantitative cardiac data support both disease characterization and evaluation of new therapies. Researchers can measure changes in structure, electrical activity, hemodynamics, contractility, or injury-related biomarkers, then use standardized results to investigate disorders and therapeutic responses. The same measurement framework also contributes to risk prediction, linking experimental findings with clinically relevant outcomes.