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Open AccessJournal ArticleDOI

Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar

TLDR
Doppler radar is highlighted as an alternative approach not only for determining respiration rates, but also for identifying breathing patterns and tidal volumes as a preferred nonwearable alternative to the conventional contact sensing methods.
Abstract
Noncontact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations, such as physical sensor attachment or special clothing, which can be useful for certain healthcare applications. Furthermore, robustness of Doppler radar against environmental factors, such as light, ambient temperature, interference from other signals occupying the same bandwidth, fading effects, reduce environmental constraints and strengthens the possibility of employing Doppler radar in long-term respiration detection, and monitoring applications such as sleep studies. This paper presents an evaluation in the of use of microwave Doppler radar for capturing different dynamics of breathing patterns in addition to the respiration rate. Although finding the respiration rate is essential, identifying abnormal breathing patterns in real-time could be used to gain further insights into respiratory disorders and refine diagnostic procedures. Several known breathing disorders were professionally role played and captured in a real-time laboratory environment using a noncontact Doppler radar to evaluate the feasibility of this noncontact form of measurement in capturing breathing patterns under different conditions associated with certain breathing disorders. In addition to that, inhalation and exhalation flow patterns under different breathing scenarios were investigated to further support the feasibility of Doppler radar to accurately estimate the tidal volume. The results obtained for both experiments were compared with the gold standard measurement schemes, such as respiration belt and spirometry readings, yielding significant correlations with the Doppler radar-based information. In summary, Doppler radar is highlighted as an alternative approach not only for determining respiration rates, but also for identifying breathing patterns and tidal volumes as a preferred nonwearable alternative to the conventional contact sensing methods.

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Citations
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Journal ArticleDOI

Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors.

TL;DR: A facile approach is proposed for superior conformation and adhesion of wearable sensors to dry and wet skin and the signal-to-noise ratio of the strain sensor is significantly improved because of the considerable signal amplification of microfibrillar skin-adhesive films.
Journal ArticleDOI

Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks

TL;DR: In this paper, the authors used a miniature radar sensor to capture Doppler signatures of 14 different hand gestures and trained a deep convolutional neural network (DCNN) to classify these captured gestures.
Proceedings ArticleDOI

Smartwatch: Performance evaluation for long-term heart rate monitoring

TL;DR: A performance evaluation on the optical heart rate sensor of the smartwatch with respect to the commonly used ECG and PPG devices has shown that the heart rate acquired from the smart watch is reasonably accurate with a high degree of correlation.
Journal ArticleDOI

Tidal Volume and Instantaneous Respiration Rate Estimation using a Volumetric Surrogate Signal Acquired via a Smartphone Camera

TL;DR: Promising results show the feasibility of developing an inexpensive and portable breathing monitor, which could provide information about IRR as well as peak-to-peak amplitude of the smartphone-acquired chest movement signal and spirometer reference, when calibrated on an individual basis, using smartphones.
Journal ArticleDOI

Passive Radar for Opportunistic Monitoring in E-Health Applications

TL;DR: The experimental results show that the proposed passive radar system provides adequate performance for both purposes, and prove that non-contact passive Doppler radar is a complementary technology to meet the challenges of future healthcare applications.
References
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Journal ArticleDOI

What Is a Savitzky-Golay Filter? [Lecture Notes]

TL;DR: This article reviewed the definition and properties of S-G filters and showed how they can be designed easily using polynomial approximation of an impulse sequence, and focused on the frequency domain properties.
Journal ArticleDOI

A guided tour of the fast Fourier transform

TL;DR: This article is intended as a primer on the fast Fourier transform, which has revolutionized the digital processing of waveforms and is needed for a whole new range of applications for this classic mathematical device.
Journal ArticleDOI

Respiratory rate: the neglected vital sign.

TL;DR: There is substantial evidence that an abnormal respiratory rate is a predictor of potentially serious clinical events and hospital systems that encourage appropriate responses to an elevated respiratory rate and other abnormal vital signs can be rapidly implemented.
Journal ArticleDOI

Spectral decomposition of seismic data with continuous-wavelet transform

TL;DR: In this paper, the authors presented a new methodology for computing a time-frequency map for nonstationary signals using the continuous-wavelet transform (CWT), which does not require preselecting a window length and does not have a fixed timefrequency resolution over the timefrequency space.
Book

Mosby's medical dictionary

TL;DR: A color Atlas of Human Anatomy Definitions A-Z Illustration Credits Appendixes (Endsheets) * American Sign Language and Manual Communication
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