Flexible Wireless Passive Pressure Sensors for Biomedical Applications

Fonseca, Michael A.; Allen, Mark G.; Kroh, J.; White, Jason

doi:10.31438/trf.hh2006.9

Cited by 66 publications

(42 citation statements)

References 7 publications

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“…In case of high-temperature environment, it is demonstrated that the sensor's Q value which related to the changes of temperature limits the operating temperature at 400°C [13, 14]. The value of mutation point of impedance's real part at peaks changes less obviously as the Q value varies; even the resonant characteristics for extracting the resonant frequency disappear.…”

Section: Designmentioning

confidence: 99%

“…Sensors demonstrated in the literature have certain deficiencies: the Georgia Institute of Technology has designed a wireless high temperature pressure sensor using low temperature cofired ceramic (LTCC) material. However, the sensor is only tested up to 450 ∘ C [13][14][15][16]. Another team in Novi Sad (Serbia) demonstrated a better structure, but worse performance [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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A Wireless Pressure Microsensor Fabricated in HTCC Technology for Dynamic Pressure Monitoring in Harsh Environments

Gao

Hong

Zhang

et al. 2015

International Journal of Distributed Sensor Networks

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The partially stabilized zirconia (PSZ) ceramic has wide applications due to its excellent mechanical toughness and chemically inert and electrical properties for fabricating various devices. In this paper, a novel high temperature pressure sensor with the PSZ was designed and fabricated. The sensor was designed based on the small deflection theory, which enables its theoretic pressure-capacitance capability up to 60 bar. HTCC process technology was used to fabricate the sensor, which would realize a completely passive LC resonant circuit integrated on the ceramic substrate. According to the coupling principle, noncontact testing is achieved using the designed readout system, with average sensitivity up to 38 kHz Bar−1 presented. Compared to the fabrication and measurement of traditional sensors, excellent packaging process is demonstrated, and the sensor can be completely tested from 0 to 60 bar.

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Section: Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Wireless Pressure Microsensor Fabricated in HTCC Technology for Dynamic Pressure Monitoring in Harsh Environments

Gao

Hong

Zhang

et al. 2015

International Journal of Distributed Sensor Networks

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“…Recent strides in sensor-miniaturization, smart materials, telemetry, machine learning have led to the proliferation of wearable, implantable and embedded biosensor-based health monitoring devices. 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.…”

Section: Introductionmentioning

confidence: 99%

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

Bailoor

Seo

Schena³

et al. 2021

Front. Physiol.

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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.

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“…The majority of implantable or wearable sensors are based in LC systems due to the wireless communication between sensor and reader coil. Fonseca et al [43] presented a very flexible wireless LC pressure sensor that was rollable and foldable to a compact shape for catheter-based delivery. This sensor was tested acutely in vivo for greater than 30 days in canine models simulating abdominal aortic aneurysms (AAA).…”

Section: Introductionmentioning

confidence: 99%

Thin-Film Flexible Wireless Pressure Sensor for Continuous Pressure Monitoring in Medical Applications

Farooq

Iqbal

Vázquez

et al. 2020

Sensors

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Physiological pressure measurement is one of the most common applications of sensors in healthcare. Particularly, continuous pressure monitoring provides key information for early diagnosis, patient-specific treatment, and preventive healthcare. This paper presents a thin-film flexible wireless pressure sensor for continuous pressure measurement in a wide range of medical applications but mainly focused on interface pressure monitoring during compression therapy to treat venous insufficiency. The sensor is based on a pressure-dependent capacitor (C) and printed inductive coil (L) that form an inductor-capacitor (LC) resonant circuit. A matched reader coil provides an excellent coupling at the fundamental resonance frequency of the sensor. Considering varying requirements of venous ulceration, two versions of the sensor, with different sizes, were finalized after design parameter optimization and fabricated using a cost-effective and simple etching method. A test setup consisting of a glass pressure chamber and a vacuum pump was developed to test and characterize the response of the sensors. Both sensors were tested for a narrow range (0–100 mmHg) and a wide range (0–300 mmHg) to cover most of the physiological pressure measurement applications. Both sensors showed good linearity with high sensitivity in the lower pressure range <100 mmHg, providing a wireless monitoring platform for compression therapy in venous ulceration.

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Flexible Wireless Passive Pressure Sensors for Biomedical Applications

Cited by 66 publications

References 7 publications

A Wireless Pressure Microsensor Fabricated in HTCC Technology for Dynamic Pressure Monitoring in Harsh Environments

A Wireless Pressure Microsensor Fabricated in HTCC Technology for Dynamic Pressure Monitoring in Harsh Environments

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

Thin-Film Flexible Wireless Pressure Sensor for Continuous Pressure Monitoring in Medical Applications

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