A Novel Sensorized Heart Valve Prosthesis: Preliminary In Vitro Evaluation

Marcelli, Emanuela; Bortolani, Barbara; Corazza, Ivan; Cercenelli, Laura

doi:10.3390/s18113905

Cited by 12 publications

(13 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Likewise, the absence of the heart valve in the numerical body model could overestimate the HCF. The detection of impedance changes due to opening or closure of the heart valves is also being used in heart valve prosthesis [ 50 ].…”

Section: Resultsmentioning

confidence: 99%

Computational models for contact current dosimetry at frequencies below 1 MHz

Schneeweiss

Panescu

Stunder

et al. 2020

Med Biol Eng Comput

View full text Add to dashboard Cite

Electric contact currents (CC) can cause muscle contractions, burns, or ventricular fibrillation which may result in life-threatening situations. In vivo studies with CC are rare due to potentially hazardous effects for participants. Cadaver studies are limited to the range of tissue’s electrical properties and the utilized probes’ size, relative position, and sensitivity. Thus, the general safety standards for protection against CC depend on a limited scientific basis. The aim of this study was therefore to develop an extendable and adaptable validated numerical body model for computational CC dosimetry for frequencies between DC and 1 MHz. Applying the developed model for calculations of the IEC heart current factors (HCF) revealed that in the case of transversal CCs, HCFs are frequency dependent, while for longitudinal CCs, the HCFs seem to be unaffected by frequency. HCFs for current paths from chest or back to hand appear to be underestimated by the International Electrotechnical Commission (IEC 60479-1). Unlike the HCFs provided in IEC 60479-1 for longitudinal current paths, our work predicts the HCFs equal 1.0, possibly due to a previously unappreciated current flow through the blood vessels. However, our results must be investigated by further research in order to make a definitive statement. Contact currents of frequencies from DC up to 100 kHz were conducted through the numerical body model Duke by seven contact electrodes on longitudinal and transversal paths. The resulting induced electric field and current enable the evaluation of the body impedance and the heart current factors for each frequency and current path.

show abstract

Section: Resultsmentioning

confidence: 99%

Computational models for contact current dosimetry at frequencies below 1 MHz

Schneeweiss

Panescu

Stunder

et al. 2020

Med Biol Eng Comput

View full text Add to dashboard Cite

show abstract

“…370 Dedicated electrodes were also embedded in the structure of the heart valve prosthesis to generate a local electric field that is altered by the valve leaflets during their cyclic opening and closure movements. 33 This can be used to measure electric impedance and detect any thrombus formation that may alter the motion of the leaflets. Preliminary results obtained using the prototype that was applied to a simplified circulatory mock loop system, built to reproduce hydrodynamic working conditions for the sensorized valve, showed that the device provided repetitive and stable impedance measurements during the normal cyclic valve opening/closure.…”

Section: Cardiovascular Implantsmentioning

confidence: 99%

“…With the global increase in the aging population, and associated trauma and disease, the use of implants is increasing, with the implant market accounting for USD 157.97 billion in 2021 (Figure ). Implants are used for mending, − reconstruction, − repair, − and regeneration ,, of tissues (Figure ). They can also be used as stents, shunts, and tubes.…”

Section: Current Implants Problems and Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Implants with Sensing Capabilities

et al. 2022

View full text Add to dashboard Cite

Because of the aging human population and increased numbers of surgical procedures being performed, there is a growing number of biomedical devices being implanted each year. Although the benefits of implants are significant, there are risks to having foreign materials in the body that may lead to complications that may remain undetectable until a time at which the damage done becomes irreversible. To address this challenge, advances in implantable sensors may enable early detection of even minor changes in the implants or the surrounding tissues and provide early cues for intervention. Therefore, integrating sensors with implants will enable real-time monitoring and lead to improvements in implant function. Sensor integration has been mostly applied to cardiovascular, neural, and orthopedic implants, and advances in combined implant-sensor devices have been significant, yet there are needs still to be addressed. Sensor-integrating implants are still in their infancy; however, some have already made it to the clinic. With an interdisciplinary approach, these sensor-integrating devices will become more efficient, providing clear paths to clinical translation in the future.

show abstract

“…While limited inroads have been made into sensor-based monitoring techniques for cardiac health (Fonseca et al, 2006;Chen et al, 2014;Hermans et al, 2018), very few developments address the needs of TAVR patients. For instance, proof-of-concept analyses of sensorized mechanical (Marcelli et al, 2018) and transcatheter (Bailoor et al, 2021b) aortic valves have been recently proposed, but these devices cannot assist patients with existing TAVs. In this investigation, we seek to develop a safe and practical valve monitoring modality which can be independently used by patients with existing and future implants.…”

Section: Introductionmentioning

confidence: 99%

Detecting Aortic Valve Anomaly From Induced Murmurs: Insights From Computational Hemodynamic Models

Bailoor

Seo

Schena³

et al. 2021

Front. Physiol.

View full text Add to dashboard Cite

Patients who receive transcatheter aortic valve replacement are at risk for leaflet thrombosis-related complications, and can benefit from continuous, longitudinal monitoring of the prosthesis. Conventional angiography modalities are expensive, hospital-centric and either invasive or employ potentially nephrotoxic contrast agents, which preclude their routine use. Heart sounds have been long recognized to contain valuable information about individual valve function, but the skill of auscultation is in decline due to its heavy reliance on the physician’s proficiency leading to poor diagnostic repeatability. This subjectivity in diagnosis can be alleviated using machine learning techniques for anomaly detection. We present a computational and data-driven proof-of-concept analysis of a novel, auscultation-based technique for monitoring aortic valve, which is practical, non-invasive, and non-toxic. However, the underlying mechanisms leading to physiological and pathological heart sounds are not well-understood, which hinders development of such a technique. We first address this by performing direct numerical simulations of the complex interactions between turbulent blood flow in a canonical ascending aorta model and dynamic valve motion in 29 cases with healthy and stenotic valves. Using the turbulent pressure fluctuations on the aorta lumen boundary, we model the propagation of heart sounds, as elastic waves, through the patient’s thorax. The heart sound may be recorded on the epidermal surface using a stethoscope/phonocardiograph. This approach allows us to correlate instantaneous hemodynamic phenomena and valve motion with the acoustic response. From this dataset we extract “acoustic signatures” of healthy and stenotic valves based on principal components of the recorded sound. These signatures are used to train a linear discriminant classifier by maximizing correlation between recorded heart sounds and valve status. We demonstrate that this classifier is capable of accurate prospective detection of anomalous valve function and that the principal component-based signatures capture prominent audible features of heart sounds, which have been historically used by physicians for diagnosis. Further development of such technology can enable inexpensive, safe and patient-centric at-home monitoring, and can extend beyond transcatheter valves to surgical as well as native valves.

show abstract

A Novel Sensorized Heart Valve Prosthesis: Preliminary In Vitro Evaluation

Cited by 12 publications

References 26 publications

Computational models for contact current dosimetry at frequencies below 1 MHz

Computational models for contact current dosimetry at frequencies below 1 MHz

Implants with Sensing Capabilities

Detecting Aortic Valve Anomaly From Induced Murmurs: Insights From Computational Hemodynamic Models

Contact Info

Product

Resources

About