Non-contact quantification of aortic stenosis and mitral regurgitation using carotid waveforms from skin displacements.

Objective. Early diagnosis of heart problems is essential for improving patient prognosis.Approach. We created a non-contact imaging system that calculates the vessel-induced deformation of the skin to estimate the carotid artery pressure displacement waveforms. We present a clinical study of the system in patients (n= 27) with no underlying condition, aortic stenosis (AS), or mitral regurgitation (MR).Main results. Displacement waveforms were compared to aortic catheter pressures in the same patients. The morphologies of the pressure and displacement waveforms were found to be similar, and pulse wave analysis metrics, such as our modified reflection indices (RI) and waveform duration proportions, showed no significant differences. Compared with the control group, AS patients displayed a greater proportion of time to peak (p= 0.026 andp= 0.047 for catheter and displacement, respectively), whereas augmentation index (AIx)was greater for the displacement waveform only (p= 0.030). The modified RI for MR (p= 0.047 andp= 0.004 for catheter and displacement, respectively) was lower than in the controls. AS and MR were also significantly different for the proportion of time to peak (p= 0.018 for the catheter measurements), RI (p= 0.045 andp= 0.002 for the catheter and displacement, respectively), and AIx (p= 0.005 for the displacement waveform).Significance. These findings demonstrate the ability of our system to provide insights into cardiac conditions and support further development as a diagnostic/telehealth-based screening tool.

A miniature mechanical testing device for testing hydrogel-based biomaterials in a confocal microscope.

Cardiac muscle cells are the fundamental building blocks of the heart, yet little is known about their mechanical properties in either healthy or diseased states. While many have explored unloaded myocyte behavior under a variety of interventions, methods for force measurements are limited due to cell fragility. Here, we present a custom device for manipulation and mechanical testing of hydrogels embedded with delicate cardiac muscle cells. Consisting of a custom disposable flexure, which is easily interchangeable, the device has the potential for high throughput testing of cell-gel constructs. Additionally, the mechanical testing device is the size of a microscope slide - appropriate for use in most microscopes, for simultaneous imaging of the sample. The mechanical properties of a gelatin-methacryloyl hydrogel sample were assessed, and 3D volumes of gel imaged using a confocal microscope. The Young's modulus of the gel was found to be 33kPa.Clinical Relevance- High-throughput testing provides the potential to gain insight into cardiac cell mechanics. Experimentation under the influence of a variety of pharmacological interventions could improve the rate at which treatments for cardiac disease are developed. Furthermore, methods may be extended to other embedded biological tissues.

Non-contact Quantification of Jugular Venous Pulse Waveforms from Skin Displacements.

The jugular venous (JV) pressure waveform is a non-invasive, proven indicator of cardiovascular disease. Conventional clinical methods for assessing these waveforms are often overlooked because they require specialised expertise, and are invasive and expensive to implement. Recently, image-based methods have been used to quantify JV pulsation waveforms on the skin as an indirect way of estimating the pressure waveforms. However, these existing image-based methods cannot explicitly measure skin deformations and rely on the use of photoplethysmography (PPG) devices for identification of the pulsatile waveforms. As a result, they often have limited accuracy and robustness and are unsuitable in the clinical environment. Here, we propose a technique to directly measure skin deformations caused by the JV pulse using a very accurate subpixel registration algorithm. The method simply requires images obtained from the subject's neck using a commodity camera. The results show that our measured waveforms contained all of the essential features of diagnostic JV waveforms in all of 19 healthy subjects tested in this study, indicating a significantly important capability for a potential future diagnostic device. The shape of our measured JV displacement waveforms was validated using waveforms measured with a laser displacement sensor, where the average correlation score between the two waveforms was 0.93 ± 0.05. In addition, synchronously recorded ECG signals were used to verify the timings of diagnostic features of the measured waveforms. To our knowledge, this is the first use of image registration for direct measurement of JV displacement waveforms. Significant advantages of our novel method include the high precision of our measurements, and the ability to use ordinary cameras, such as those in modern mobile phones. These advantages will enable the development of affordable and accessible devices to measure JV waveforms for cardiac diagnostics in the clinical environment. Future devices based on this technology may provide viable options for telemedicine applications, point of care diagnostics, and mobile-based cardiac health monitoring systems.