Monitoring of the central blood pressure waveform via a conformal ultrasonic device.

Continuous monitoring of the central-blood-pressure waveform from deeply embedded vessels, such as the carotid artery and jugular vein, has clinical value for the prediction of all-cause cardiovascular mortality. However, existing non-invasive approaches, including photoplethysmography and tonometry, only enable access to the superficial peripheral vasculature. Although current ultrasonic technologies allow non-invasive deep-tissue observation, unstable coupling with the tissue surface resulting from the bulkiness and rigidity of conventional ultrasound probes introduces usability constraints. Here, we describe the design and operation of an ultrasonic device that is conformal to the skin and capable of capturing blood-pressure waveforms at deeply embedded arterial and venous sites. The wearable device is ultrathin (240 μm) and stretchable (with strains up to 60%), and enables the non-invasive, continuous and accurate monitoring of cardiovascular events from multiple body locations, which should facilitate its use in a variety of clinical environments

Future of smart cardiovascular implants

Cardiovascular disease remains the leading cause of death in Western society. Recent technological advances have opened the opportunity of developing new and innovative smart stent devices that have advanced electrical properties that can improve diagnosis and even treatment of previously intractable conditions, such as central line access failure, atherosclerosis and reporting on vascular grafts for renal dialysis. Here we review the latest advances in the field of cardiovascular medical implants, providing a broad overview of the application of their use in the context of cardiovascular disease rather than an in-depth analysis of the current state of the art. We cover their powering, communication and the challenges faced in their fabrication. We focus specifically on those devices required to maintain vascular access such as ones used to treat arterial disease, a major source of heart attacks and strokes. We look forward to advances in these technologies in the future and their implementation to improve the human condition

Jefferson Digital Commons quarterly report: January-March 2020

This quarterly report includes: New Look for the Jefferson Digital Commons Articles COVID-19 Working Papers Educational Materials From the Archives Grand Rounds and Lectures JeffMD Scholarly Inquiry Abstracts Journals and Newsletters Master of Public Health Capstones Oral Histories Posters and Conference Presentations What People are Saying About the Jefferson the Digital Common

Wearable technology and the cardiovascular system: the future of patient assessment

The past decade has seen a dramatic rise in consumer technologies able to monitor a variety of cardiovascular parameters. Such devices initially recorded markers of exercise, but now include physiological and health-care focused measurements. The public are keen to adopt these devices in the belief that they are useful to identify and monitor cardiovascular disease. Clinicians are therefore often presented with health app data accompanied by a diverse range of concerns and queries. Herein, we assess whether these devices are accurate, their outputs validated, and whether they are suitable for professionals to make management decisions. We review underpinning methods and technologies and explore the evidence supporting the use of these devices as diagnostic and monitoring tools in hypertension, arrhythmia, heart failure, coronary artery disease, pulmonary hypertension, and valvular heart disease. Used correctly, they might improve health care and support research

Plethysmography system to monitor the jugular venous pulse: A feasibility study

Cerebral venous outflow is investigated in the diagnosis of heart failure through the monitoring of jugular venous pulse, an indicator to assess cardiovascular diseases. The jugular venous pulse is a weak signal stemming from the lying internal jugular vein and often invasive methodolo-gies requiring surgery are mandatory to detect it. Jugular venous pulse can also be extrapolated via the ultrasound technique, but it requires a qualified healthcare operator to perform the exami-nation. In this work, a wireless, user-friendly, wearable device for plethysmography is developed to investigate the possibility of monitoring the jugular venous pulse non-invasively. The proposed device can monitor the jugular venous pulse and the electrocardiogram synchronously. To study the feasibility of using the proposed device to detect physiological variables, several measurements were carried out on healthy subjects by considering three different postures: supine, sitting, and upright. Data acquired in the experiment were properly filtered to highlight the cardiac oscillation and remove the breathing contribution, which causes a considerable shift in the amplitude of signals. To evaluate the proper functioning of the wearable device for plethysmography, a comparison with the ultrasound technique was carried out. As a satisfactory result, the acquired signals resemble the typical jugular venous pulse waveforms found in literature

Deep Learning in Cardiology

The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as diagnosis, prediction and intervention. Deep learning is a representation learning method that consists of layers that transform the data non-linearly, thus, revealing hierarchical relationships and structures. In this review we survey deep learning application papers that use structured data, signal and imaging modalities from cardiology. We discuss the advantages and limitations of applying deep learning in cardiology that also apply in medicine in general, while proposing certain directions as the most viable for clinical use.Comment: 27 pages, 2 figures, 10 table

Hemodynamic monitor for rapid, cost-effective assessment of peripheral vascular function

Worldwide, at least 200 million people are affected by peripheral vascular diseases (PVDs), including peripheral arterial disease (PAD), chronic venous insufficiency (CVI) and deep vein thrombosis (DVT). These diseases have considerable socioeconomic impacts due to their high prevalence, cost of investigation, treatment and their effects on quality of life. PVDs are often undiagnosed with up to 60% of patients with PVD remaining asymptomatic. Early diagnosis is essential for effective treatment and reducing socioeconomic costs, particularly in patients with diabetes where early endovascular treatment can prevent lower extremity amputation. However, available diagnostic methods simply do not meet the needs of clinicians. For example, duplex ultrasound or plethysmography are time-consuming methods, costly and require access to highly trained clinicians. Due to the cost and time requirements of such methods, they are often reserved for symptomatic patients. On the other hand, the Ankle Brachial Index (ABI) test is cheap but has poor sensitivity for those patients with diabetes and the elderly, both growing high-risk populations. There is an urgent need for new diagnostic tools to enable earlier intervention. Researchers at the MARCS Institute have developed a novel hemodynamic monitor platform named HeMo, specifically for the assessment of peripheral blood flow in the leg. This development aimed to provide a fast and low-cost diagnosis of both peripheral arterial disease and chronic venous insufficiency. This work first provides a comprehensive literature review of the existing non-invasive diagnostic devices developed since 1677 to highlight the need of development of a new blood monitoring tool. Second, it presents the simplified circuit of the HeMo device and provides series of pilot experiments with HeMo demonstrating its potential for diagnosis of both peripheral arterial disease and chronic venous insufficiency. Third, it presents a quantitative characterisation of the electrical behaviour of the electro-resistive band sensors with the development of an expansion/contraction simulator rig and using spectral analysis. The characterisation of the electro-resistive band was essential to understand the nonlinear electrical behaviour of such sensors and would be of interest for other users and uses of the electro-resistive band sensors. However, in another perspective this sinusoidal linear stretching movement and the presented method shows an example for the application of the presented rig, highlighting that the same technique could be used for characterisation of similar stretchable sensors. Fourth, it shows data from a healthy population, assessing the performance of HeMo compared to light reflection rheography (LRR sensor-VasoScreen 5000) for the assessment of venous function. Fifth, it presents human study data where the performance of HeMo is compared to photoplethysmography (PPG sensor-VasoScreen 5000) for the evaluation of the arterial function. Overall, the presented work here, steps toward development of the final version of a novel hemodynamic monitoring device, and its validation