Scalability of cardiovascular intrinsic frequencies: Validations in preclinical models and non-invasive clinical studies.
Life Sci
; 284: 119880, 2021 Nov 01.
Article
in En
| MEDLINE
| ID: mdl-34389404
ABSTRACT
AIMS:
Cardiovascular intrinsic frequencies (IFs) are associated with cardiovascular health and disease, separately capturing the systolic and diastolic information contained in a single (uncalibrated) arterial waveform. Previous clinical investigations related to IF have been restricted to studying chronic conditions, and hence its applicability for acute cardiovascular diseases has not been explored. Studies of cardiovascular complications such as acute myocardial infarction are difficult to perform in humans due to the high-risk and invasive nature of such procedures. Although they can be performed in preclinical (animal) models, the corresponding interpretation of IF measures and how they ultimately translate to humans is unknown. Hence, we studied the scalability of IF across species and sensor platforms. MATERIALS ANDMETHODS:
Scaled values of the two intrinsic frequencies ω1 and ω2 (corresponding to systolic and diastolic dynamics, respectively) were extracted from carotid waveforms acquired either non-invasively (via tonometry, Vivio or iPhone) in humans or invasively in rabbits and rats. KEYFINDINGS:
The scaled IF parameters for all species were found to fall within the same physiological ranges carrying similar statistical characteristics, even though body sizes and corresponding heart rates of the species were substantially different. Additionally, results demonstrated that all non-invasive sensor platforms were significantly correlated with each other for scaled IFs, suggesting that such analysis is device-agnostic and can be applied to upcoming wearable technologies.SIGNIFICANCE:
Ultimately, our results found that IFs are scalable across species, which is particularly valuable for the training of IF-based artificial intelligence systems using both preclinical and clinical data.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Cardiovascular System
/
Models, Cardiovascular
Type of study:
Prognostic_studies
Limits:
Animals
/
Humans
Language:
En
Journal:
Life Sci
Year:
2021
Document type:
Article
Affiliation country: