Detecting Aortic Valve-Induced Abnormal Flow with Seismocardiography and Cardiac MRI
Open accessAbstract
Cardiac MRI (CMR) techniques offer non-invasive visualizations of cardiac morphology and function. However, imaging can be time-consuming and complex. Seismocardiography (SCG) measures physical vibrations transmitted through the chest from the beating heart and pulsatile blood flow. SCG signals can be acquired quickly and easily, with inexpensive electronics. This study investigates relationships between CMR metrics of function and SCG signal features. Same-day CMR and SCG data were collected from 28 healthy adults and 6 subjects with aortic valve disease history. Correlation testing and statistical median/decile calculations were performed with data from the healthy cohort. MR-quantified flow and function parameters in the healthy cohort correlated with particular SCG energy levels, such as peak aortic velocity with low-frequency SCG (coefficient 0.43, significance 0.02) and peak flow with high-frequency SCG (coefficient 0.40, significance 0.03). Valve disease-induced flow abnormalities in patients were visualized with MRI, and corresponding abnormalities in SCG signals were identified. This investigation found significant cross-modality correlations in cardiac function metrics and SCG signals features from healthy subjects. Additionally, through comparison to normative ranges from healthy subjects, it observed correspondences between pathological flow and abnormal SCG. This may support development of an easy clinical test used to identify potential aortic flow abnormalities.
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The z-axis accelerometer data from the chest sensor of a 1-wk-old subject contains clear information on cardiac activity, as a seismocardiogram with prominent peaks induced by Aortic valve opening and Mitral valve opening.
“For example, the z-axis accelerometer data from the chest sensor of a 1-wk-old subject (Top in Fig. 6A) contains clear information on cardiac activity, as a seismocardiogram with prominent peaks induced by Aortic valve opening (black arrow) and Mitral valve opening (gray arrow) (30–32).”
From Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants (2021) · cites this paper as [32]
The Introduction (page unavailable) says chest-acceleration measurements form a seismocardiogram, and the Discussion (page unavailable) relates SCG oscillations to aortic-valve opening. But Methods > Data Collection describes adult volunteers, not a 1-week-old subject; the cited passages do not establish a z-axis trace or peaks induced by both aortic- and mitral-valve opening. (LLM, conf=0.88)
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- Authors
- Johnson, E. M. I., Heller, J. A., Garcia Vicente, F., Sarnari, R., Gordon, D., McCarthy, P. M., Barker, A. J., Etemadi, M., & Markl, M.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Johnson, Ethan M. I.
- ORCID
- Venue
- Annals of Biomedical Engineering
- Published
- 2020-03-16
- Volume
- 48
- Issue
- 6
- Pages
- 1779-1792
- ISSN
- 0090-6964 (ISSN-L)
- 1573-9686
- PMC
- PMC7286773
- OpenAlex
- W3010703667
- Cited by
- 14
- References
- 29
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 6
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Hartwell Foundation (123441)
- Cryolife, Inc
- National Heart, Lung, and Blood Institute (R01 HL 130619, R01 HL 133504)
- Circle Cardiovascular Imaging
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Phonocardiography and Auscultation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Valve Diseases and Treatments
- Keywords
- seismocardiography, cardiac MRI, aortic valve disease, aortic blood flow, aortic regurgitation, heart sounds, noninvasive cardiac assessment
- MeSH terms
- Aortic Valve Disease, Adult, Aged, Aortic Valve, Coronary Circulation, Electrocardiography, Humans, Magnetic Resonance Imaging, Middle Aged
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