2016
DOI: 10.1088/2057-1976/2/6/065003
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Reflection and transmission of ultra-wideband pulses for detection of vascular pressure variation and spatial resolution within soft tissues

Abstract: Ultra-wideband signals have a variety of applications. An upcoming medical application is the detection of the heart rate of patients. However, current UWB systems provide poor resolution and are only able to detect vessels with a large diameter, e.g. the aorta. The detection and quantification of vascular dilation of thinner vessels is essential to develop wearable ultra-wideband based devices for real-time detection of cardiovascular conditions of the extremities. The reflection and transmission processes of… Show more

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Cited by 2 publications
(4 citation statements)
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“…In 2016, Mackenberg et al [25] attempted to establish a UWB system that detects the vascular pressure based on the detection of vascular dilation inside an inhomogeneous tissue. The researchers found a correlation relationship between the major peaks of signal in time domain and the amplitude of supposed values.…”
Section: Uwb Medical Applicationmentioning
confidence: 99%
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“…In 2016, Mackenberg et al [25] attempted to establish a UWB system that detects the vascular pressure based on the detection of vascular dilation inside an inhomogeneous tissue. The researchers found a correlation relationship between the major peaks of signal in time domain and the amplitude of supposed values.…”
Section: Uwb Medical Applicationmentioning
confidence: 99%
“…These curves appear in a certain shape according to their values. Mathematically, these sinusoids are the result of the number of beats or cycles per second (frequency), the power of each frequency component (amplitudes), and the delay or advantage of a signal (phase), which describe the angular displacement of two sinusoidal functions [23,25]. The key to transmitting the information is through the use of waves with more complex shapes, as a result of a combination of different sinusoids [25].…”
Section: Principles For Positioning Detectionmentioning
confidence: 99%
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