Performance evaluation of F-K Kirchhoff migration using ultra-wideband radar with sparse array

2016 ◽  
Author(s):  
Takuya Sakamoto ◽  
Toru Sato ◽  
Pascal Aubry ◽  
Alexander Yarovoy
Keyword(s):  
Performance Evaluation ◽  
Ultra Wideband ◽  
Sparse Array ◽  
Kirchhoff Migration ◽  
Wideband Radar

Design method of high‐efficiency sparse array for ultra‐wideband radar

2016 ◽  
Vol 52 (3) ◽  
pp. 225-226 ◽  
Author(s):  
Kang Liu ◽  
Xin Tu ◽  
Xiang Li ◽  
Yongqiang Cheng
Keyword(s):  
High Efficiency ◽  
Design Method ◽  
Ultra Wideband ◽  
Sparse Array ◽  
Wideband Radar

scholarly journals Ultra-wideband Radar for Angiography

2020 ◽  
Vol 745 ◽  
pp. 012086
Author(s):  
Abdulhameed Habeeb Alghanimi ◽  
Rashid Ali Fayadh
Keyword(s):  
Ultra Wideband ◽  
Wideband Radar

scholarly journals Validation of a New Contactless and Continuous Respiratory Rate Monitoring Device Based on Ultra-Wideband Radar Technology

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4027
Author(s):  
Timo Lauteslager ◽  
Michal Maslik ◽  
Fares Siddiqui ◽  
Saad Marfani ◽  
Guy D. Leschziner ◽  
...  
Keyword(s):  
Respiratory Rate ◽  
Clinical Sample ◽  
Study Data ◽  
Ultra Wideband ◽  
Clinical Settings ◽  
User Characteristics ◽  
Novel Device ◽  
Gold Standard Reference ◽  
Wideband Radar ◽  
Remote Patient

Respiratory rate (RR) is typically the first vital sign to change when a patient decompensates. Despite this, RR is often monitored infrequently and inaccurately. The Circadia Contactless Breathing Monitor™ (model C100) is a novel device that uses ultra-wideband radar to monitor RR continuously and un-obtrusively. Performance of the Circadia Monitor was assessed by direct comparison to manually scored reference data. Data were collected across a range of clinical and non-clinical settings, considering a broad range of user characteristics and use cases, in a total of 50 subjects. Bland–Altman analysis showed high agreement with the gold standard reference for all study data, and agreement fell within the predefined acceptance criteria of ±5 breaths per minute (BrPM). The 95% limits of agreement were −3.0 to 1.3 BrPM for a nonprobability sample of subjects while awake, −2.3 to 1.7 BrPM for a clinical sample of subjects while asleep, and −1.2 to 0.7 BrPM for a sample of healthy subjects while asleep. Accuracy rate, using an error margin of ±2 BrPM, was found to be 90% or higher. Results demonstrate that the Circadia Monitor can effectively and efficiently be used for accurate spot measurements and continuous bedside monitoring of RR in low acuity settings, such as the nursing home or hospital ward, or for remote patient monitoring.

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