Large Displacement Motion Interferometry With Modified Differentiate and Cross-Multiply Technique

Xu, Wei; Li, Yuchen; Gu, Changzhan; Mao, Jun‐Fa

doi:10.1109/tmtt.2021.3103576

Cited by 38 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After the received signal s R (t) and the LO signal s LO (t) are mixed by a quadrature mixer and the output signals are lowpass filtered, the original IF I/Q signals are obtained, which can be written as (16) where ℋ[•] refers to low-pass filtering, λ = c / f c is the wavelength of the LO signal. Since d s is a constant, let 4π d s / λ =φ 0 .…”

Section: B Low-if Cw Radarmentioning

confidence: 99%

A Review on Recent Advancements of Biomedical Radar for Clinical Applications

Dong,

Wen,

et al. 2024

IEEE Open J. Eng. Med. Biol.

View full text Add to dashboard Cite

The field of biomedical radar has witnessed significant advancements in recent years, paving the way for innovative and transformative applications in clinical settings. Most medical instruments invented to measure human activities rely on contact electrodes, causing discomfort. Thanks to its noninvasive nature, biomedical radar is particularly valuable for clinical applications. A significant portion of the review discusses improvements in radar hardware, with a focus on miniaturization, increased resolution, and enhanced sensitivity. Then, this paper also delves into the signal processing and machine learning techniques tailored for radar data. This review will explore the recent breakthroughs and applications of biomedical radar technology, shedding light on its transformative potential in shaping the future of clinical diagnostics, patient and elderly care, and healthcare innovation.

show abstract

Section: B Low-if Cw Radarmentioning

confidence: 99%

A Review on Recent Advancements of Biomedical Radar for Clinical Applications

Dong,

Wen,

et al. 2024

IEEE Open J. Eng. Med. Biol.

View full text Add to dashboard Cite

show abstract

“…However, the use of unwrapping may introduce errors in the presence of abrupt phase variations. In this case, the extended differentiate and cross-multiply (DACM) algorithm proposed in [71] or its modified version [72] should be employed to achieve precise phase unwrapping.…”

Section: Proceedings Of the Ieee 13mentioning

confidence: 99%

Radar-Based Monitoring of Vital Signs: A Tutorial Overview

et al. 2023

View full text Add to dashboard Cite

In the last years, substantial attention has been paid to the use of radar systems in health monitoring, due to the availability of both low-cost radar devices and computationally efficient algorithms for processing their measurements. In this article, a tutorial overview of radar-based monitoring of vital signs is provided. More specifically, we first focus on the available radar technologies and the signal processing algorithms developed for the estimation of vital signs.Then, we provide some useful guidelines that should be followed in the selection of radar devices for vital sign monitoring and in their use. Finally, we illustrate various specific applications of radar systems to health monitoring and some relevant research trends in this field.

show abstract

Contactless Cardiogram Reconstruction Based on the Wavelet Transform via Continuous-Wave Radar

Dong

Yang

2022

Artificial Intelligence

View full text Add to dashboard Cite

Large Displacement Motion Interferometry With Modified Differentiate and Cross-Multiply Technique

Cited by 38 publications

References 25 publications

A Review on Recent Advancements of Biomedical Radar for Clinical Applications

A Review on Recent Advancements of Biomedical Radar for Clinical Applications

Radar-Based Monitoring of Vital Signs: A Tutorial Overview

Contactless Cardiogram Reconstruction Based on the Wavelet Transform via Continuous-Wave Radar

Contact Info

Product

Resources

About