Flexible, Skin Coupled Microphone Array for Point of Care Vascular Access Monitoring

Panda, Binit; Mandal, Soumyajit; Majerus, Steve

doi:10.1109/tbcas.2019.2948303

Cited by 13 publications

(6 citation statements)

References 58 publications

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“…However, the doctors with experience can recognize the stenosis sound pattern even in the noisy environments. Therefore, we are going to expand the device menu and add some further options with possibility to assess AVF condition with the use of different methods, like wavelet transform 20 , 21 or others proposed in the literature for detecting hemodynamically significant vascular access stenosis 9 , 22 , 23 .…”

Section: Discussionmentioning

confidence: 99%

The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods

Grochowina¹,

Leniowska²,

Gala-Błądzińska³

2020

Sci Rep

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Pattern recognition and automatic decision support methods provide significant advantages in the area of health protection. The aim of this work is to develop a low-cost tool for monitoring arteriovenous fistula (AVF) with the use of phono-angiography method. This article presents a developed and diagnostic device that implements classification algorithms to identify 38 patients with end stage renal disease, chronically hemodialysed using an AVF, at risk of vascular access stenosis. We report on the design, fabrication, and preliminary testing of a prototype device for non-invasive diagnosis which is very important for hemodialysed patients. The system includes three sub-modules: AVF signal acquisition, information processing and classification and a unit for presenting results. This is a non-invasive and inexpensive procedure for evaluating the sound pattern of bruit produced by AVF. With a special kind of head which has a greater sensitivity than conventional stethoscope, a sound signal from fistula was recorded. The proces of signal acquisition was performed by a dedicated software, written specifically for the purpose of our study. From the obtained phono-angiogram, 23 features were isolated for vectors used in a decision-making algorithm, including 6 features based on the waveform of time domain, and 17 features based on the frequency spectrum. Final definition of the feature vector composition was obtained by using several selection methods: the feature-class correlation, forward search, Principal Component Analysis and Joined-Pairs method. The supervised machine learning technique was then applied to develop the best classification model.

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Section: Discussionmentioning

confidence: 99%

The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods

Grochowina¹,

Leniowska²,

Gala-Błądzińska³

2020

Sci Rep

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“…Likewise, stenosis is another type of vascular disease where the carotid arteries become narrowed due to atherosclerosis. For the detection of stenosis location and measurement of degree of stenosis (DOS), Panda et al reported a flexible and body-conformal multichannel sensor to detect DOS as a means of vascular access . DOS is a ratio of the stenosed cross-sectional area of the blood vessel to the nonstenosed lumen diameter.…”

Section: Research Progress In the Development Of Flexible Pressure Se...mentioning

confidence: 99%

“…For the detection of stenosis location and measurement of degree of stenosis (DOS), Panda et al reported a flexible and body-conformal multichannel sensor to detect DOS as a means of vascular access. 143 DOS is a ratio of the stenosed cross-sectional area of the blood vessel to the nonstenosed lumen diameter. An array of PVDF film microphones embedded on polyimide were used to record bruits at multiple places along with vascular access, and the results showed the capability of the sensor to detect stenotic lesions within 1 cm of the true location.…”

Section: ■ Research Progress In the Development Of Flexible Pressure ...mentioning

confidence: 99%

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

Mishra

Mohanty

2022

ACS Sens.

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As the highest percentage of global mortality is caused by several cardiovascular diseases (CVD), maintenance and monitoring of a healthy cardiovascular condition have become the primary concern of each and every individual. Simultaneously, recent progress and advances in wearable pressure sensor technology have provided many pathways to monitor and detect underlying cardiovascular illness in terms of irregularities in heart rate, blood pressure, and blood oxygen saturation. These pressure sensors can be comfortably attached onto human skin or can be implanted on the surface of vascular grafts for uninterrupted monitoring of arterial blood pressure. While the traditional monitoring systems are timeconsuming, expensive, and not user-friendly, flexible sensor technology has emerged as a promising and dynamic practice to collect important health information at a comparatively low cost in a reliable and user-friendly way. This Review explores the importance and necessity of cardiovascular health monitoring while emphasizing the role of flexible pressure sensors in monitoring patients' health conditions to avoid adverse effects. A comprehensive discussion on the current research progress along with the real-time impact and accessibility of pressure sensors developed for cardiovascular health monitoring applications has been provided.

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“…In this article, we focus on the design and characterization of the sensor module which acquires thoracic sounds. The central element of the sensor module, the acoustic transducer, can either be realized by using an air microphone [ 6 , 7 , 8 ] or a contact microphone [ 9 , 10 , 11 ]. Air microphones (electret condenser microphones and capacitive or piezoelectric MEMS microphones) are commonly inserted into the stethoscope heads [ 8 ] in order to benefit from an optimized mechanical design to guide the pressure waves.…”

Section: Introductionmentioning

confidence: 99%

A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring

Yılmaz

Rapin

Pessoa

et al. 2020

Sensors

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Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance.

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Flexible, Skin Coupled Microphone Array for Point of Care Vascular Access Monitoring

Cited by 13 publications

References 58 publications

The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods

The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring

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