Feasibility of Wearable and At-Home Applications of Pulse Wave Imaging: Evaluation of Central Arterial Mechanics Using a Rigid PMUT Array in vivo

Advancements in piezoelectric micromachined ultrasound transducers (PMUTs) has allowed for the development of vascular ultrasound applications in wearable and at-home settings. Pulse wave imaging (PWI) is an ultrasound-elasticity technique that can estimate local pulse wave velocity at end-diastole...

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Bibliographic Details
Published inProceedings - IEEE International Symposium on Applications of Ferroelectrics pp. 1 - 4
Main Authors Gami, Parth, Xie, Jessica, Roy, Tuhin, Liang, Pengcheng, Kemper, Paul, Li, Chunqi, Travagliati, Marco, Baldasarre, Leonardo, Bart, Stephen, Konofagou, Elisa E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.09.2024
Subjects
arterial stiffness
Biomedical monitoring
Estimation
Frequency control
Imaging
In vivo
Measurement
Monitoring
Noise
piezoelectric micromachined ultrasound transducer (PMUT)
Pulse wave imaging
Ultrasonic imaging
Ultrasonic transducer arrays
wearable ultrasound
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Summary:Advancements in piezoelectric micromachined ultrasound transducers (PMUTs) has allowed for the development of vascular ultrasound applications in wearable and at-home settings. Pulse wave imaging (PWI) is an ultrasound-elasticity technique that can estimate local pulse wave velocity at end-diastole (PWVED). To move towards wearable and at-home applications of PWI, the objective of this study was to compare the performance of a PMUT array against an L7-4 for PWI in (n=2) healthy subjects. The B-modes produced from the PMUT array had increased presence of noise and artifacts compared to the L7-4. SNRvPWI was found to be higher in the L7-4 acquisitions (47.5 ± 6.98 dB) compared to the PMUT array (35.66 ± 8.02 dB). However, there was still good agreement for PWVED between the L7-4 and PMUT array, with a mean absolute difference of 0.18 ± 0.07 m/s when averaging all PWVED estimates per carotid artery. Additionally, by using 10% (13) of lateral positions for the L7-4 and 30% (20) for the PMUT array, it was possible to estimate PWVED within 5% error compared to using all lateral positions (L7-4: 3.44 ± 1.06%, PMUT array: 3.57 ± 0.99%). This work showcases the potential for adapting PWI into wearable and at-home monitoring applications with a PMUT array.
ISSN:2375-0448
DOI:10.1109/UFFC-JS60046.2024.10793816