Noninvasive Cardiac Assessment
Noninvasive Cardiac Assessment - Related Videos
12:24
Noninvasive Assessment of Cardiac Abnormalities in Experimental Autoimmune Myocarditis by Magnetic Resonance Microscopy Imaging in the Mouse
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Cited by 7 •
2014
This study demonstrates the successful establishment of magnetic resonance microscopy imaging as a non-invasive tool to assess the cardiac abnormalities in mice affected with autoimmune myocarditis. The data indicate that the technique can be used to monitor the disease-progression in live animals.
09:31
Noninvasive Blood Pressure Measurement Techniques
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2023
Source: Hamna J. Qureshi and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana Here we will highlight the key similarities and differences of noninvasive blood pressure measurement techniques between humans and rodents and examine the engineering principles that govern blood pressure. The principles that govern current cuff technology to acquire systolic and diastolic pressures will also be discussed. Commercially available cuffs that connect...
06:57
Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities
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Cited by 5 •
2019
This article presents a noninvasive biomonitoring system for the continuous recording and analyses of crayfish cardiac and locomotor activities. This system consists of a near-infrared optical sensor, a video-tracking module, and software for evaluating crayfish heartbeats that reflects its physiological condition and characterizes crayfish behavior during heartbeat fluctuations.
11:10
Respirometric Oxidative Phosphorylation Assessment in Saponin-permeabilized Cardiac Fibers
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Cited by 32 •
2011
Saponin-permeabilized fiber preparation in conjunction with respirometric oxidative phosphorylation analysis provides integrative assessment of mitochondrial function. Mitochondrial respiration in physiological and pathological states can reflect various regulatory influences including mitochondrial interactions, morphology and biochemistry.
04:48
Noninvasive Determination of Vortex Formation Time Using Transesophageal Echocardiography During Cardiac Surgery
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2018
We describe a protocol to measure vortex formation time, an index of left ventricular filling efficiency, using standard transesophageal echocardiography techniques in patients undergoing cardiac surgery. We apply this technique to analyze vortex formation time in several groups of patients with differing cardiac pathologies.
FAQs
Each technique captures a different physiological signal. Electrocardiography measures electrical activity, echocardiography uses ultrasound reflection to characterize cardiac structure and function, magnetic resonance imaging applies magnetic resonance principles, and wearable sensors support repeated signal collection. Using these complementary approaches allows bioengineers and clinicians to examine rhythm, blood flow, tissue motion, chamber function, and related cardiovascular parameters.
The workflow combines signal acquisition with computational signal processing. Sensors or imaging systems first collect electrical, motion, flow, or structural information, after which analytical methods interpret those signals to estimate parameters such as heart rhythm, chamber function, and cardiac output. This processing turns complex measurements into quantitative information that can support cardiovascular evaluation and monitoring.
No single signal describes every aspect of cardiac performance. Electrical measurements provide information about rhythm, while imaging and sensor-based measurements can characterize structure, blood flow, or tissue motion. Integrating these signal types gives a broader view of heart function and helps bioengineering approaches support different assessment needs, from rhythm characterization to evaluation of chamber performance.
A typical workflow begins by selecting a suitable noninvasive modality or sensor for the cardiovascular feature of interest. The system then acquires electrical, flow, motion, or structural signals, and computational processing analyzes the measurements. The resulting estimates, such as rhythm, chamber function, or cardiac output, can be interpreted for screening, diagnosis, or ongoing disease monitoring.
Bioengineering researchers apply these approaches across screening, diagnosis, disease monitoring, device development, and personalized treatment. The same measurement principles can therefore support both clinical evaluation and engineering research. For example, signal acquisition and analysis can help characterize cardiovascular function during monitoring, while sensor technologies can inform the development of devices intended for more accessible or individualized care.
Advances in sensors and computational data analysis are expanding how cardiovascular information can be collected and interpreted. Wearable sensors are specifically identified as tools for acquiring cardiac-related signals, while improved analysis supports estimation of physiological parameters. Together, these developments contribute to earlier detection and more accessible cardiovascular care without changing the underlying need to measure and interpret relevant cardiac signals.