Key result
A novel non-invasive capillary blood pressure measurement system successfully tracked local CBP changes and classified 40 subjects into four clinical categories using a decision tree.
Why the study?
Capillary blood pressure measurements could enable timely edema control in venous congestion, but current methods are invasive and require complicated experimental setups.
Does a non-invasive opto-mechanical capillary blood pressure measurement system enable detection of venous congestion and classification of patients with cardiovascular diseases?
Observational (n=40)
Does a non-invasive opto-mechanical capillary blood pressure measurement system enable detection of venous congestion and classification of patients with cardiovascular diseases?
A novel non-invasive opto-mechanical system can measure capillary blood pressure to detect venous congestion and classify patients with cardiovascular diseases like heart failure and peripheral arterial disease.
Proposed noninvasive CBP measurement may enable early congestion detection in HF; leaves open prospective validation before clinical adoption.
Capillary blood pressure (CBP) is the primary driving force for fluid exchange across microvessels. Subclinical systemic venous congestion prior to overt peripheral edema can directly result in elevated peripheral CBP. Therefore, CBP measurements can enable timely edema control in a variety of clinical cases including venous insufficiency, heart failure and so on. However, currently CBP measurements can be only done invasively and with a complicated experimental setup. In this work, we proposed an opto-mechanical system to achieve non-invasive and automatic CBP measurements through modifying the widely implemented oscillometric technique in home-use arterial blood pressure monitors. The proposed CBP system is featured with a blue light photoplethysmography sensor embedded in finger/toe cuffs to probe skin capillary pulsations. The experimental results demonstrated the proposed CBP system can track local CBP changes induced by different levels of venous congestion. Leveraging the decision tree technique, we demonstrate the use of a multi-site CBP measurement at fingertips and toes to classify four categories of subjects (total N = 40) including patients with peripheral arterial disease, varicose veins and heart failure. Our work demonstrates the promising non-invasive CBP measurement as well as its great potential in realizing point-of-care systems for the management of cardiovascular diseases.
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Liu et al. (2021) conducted an observational in Peripheral arterial disease, varicose veins, and heart failure (n=40). Non-invasive capillary blood pressure (CBP) measurement was evaluated on Classification of four categories of subjects. A novel non-invasive capillary blood pressure measurement system successfully tracked local CBP changes and classified 40 subjects into four clinical categories using a decision tree.
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