WE-A-134-10: Non-Ionizing, Non-Invasive, Non-Contact, and Real-Time Tumor Detection Using Ultra-Wideband (UWB) Radar: A Feasibility Study

2013 ◽  
Vol 40 (6Part28) ◽  
pp. 471-471
Author(s):  
S Han-Oh ◽  
E Oh ◽  
E Tryggestad ◽  
T DeWeese
Keyword(s):  
Real Time ◽  
Feasibility Study ◽  
Tumor Detection ◽  
Ultra Wideband ◽  
Non Invasive ◽  
Uwb Radar

scholarly journals UWB Transmission through Human Thorax: An Index of Cardiac Health

2020 ◽  
Vol 16 (13) ◽  
pp. 70
Author(s):  
Kedar Nath Sahu ◽  
Challa Dhanunjaya Naidu ◽  
Jaya Sankar Kottareddygari
Keyword(s):  
Power Transmission ◽  
Periodic Variation ◽  
Propagation Model ◽  
Ultra Wideband ◽  
Cardiac Health ◽  
Transmission Coefficients ◽  
Non Invasive ◽  
Uwb Radar ◽  
Human Thorax ◽  
Invasive Measurement

There are many applications which require remote and non-invasive measurement of heartbeat of a human being using an ultra-wideband (UWB) radar. Sophisticated models and their analysis need to be referred before the design of a practical radar prototype. In this paper, i) a UWB wave propagation model of human thorax and ii) the power transmission coefficients estimated from the simulations of the model in the range 1-10 GHz using MATLAB are presented. The study reveals that there is a periodic variation of the transmission coefficients in correlation with the instantaneous physical dimensions of an active heart.

scholarly journals Research on real-time elimination of ultra-wideband radar ranging abnormal value data

2021 ◽  
Vol 10 (2) ◽  
pp. 153-160
Author(s):  
Xin Yan ◽  
Hui Liu ◽  
Guoxuan Xin ◽  
Hanbo Huang ◽  
Yuxi Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Gaussian Function ◽  
Measurement Data ◽  
Indoor Positioning ◽  
Difficult Problem ◽  
Ultra Wideband ◽  
Range Data ◽  
Positioning System ◽  
Linear Regression Models ◽  
Uwb Radar

Abstract. For indoor positioning, ultra-wideband (UWB) radar comes to the forefront due to its strong penetration, anti-jamming, and high-precision ranging abilities. However, due to the complex indoor environment and disorder of obstacles, the problems of diffraction, penetration, and ranging instability caused by UWB radar signals also emerge, which make it difficult to predict the noise and leads to a great impact on the accuracy and stability of the measurement data in the short term. Therefore, the abnormal value migration of the positioning trajectory occurred in real-time positioning. To eliminate this phenomenon and provide more accurate results, the abnormal values need to be removed. It is not difficult to eliminate abnormal values accurately based on a large number of data, but it is still a difficult problem to ensure the stability of the positioning system by using a small number of measurement data in a short time to eliminate abnormal value in real-time ranging data. Thus, this paper focuses on the experimental analysis of a UWB-based indoor positioning system. By repeatedly measuring the range , a large number of measurement data can be obtained. Using the massive data to train linear regression models, we get the parameter of the linear model of range data measured with the UWB radar. Based on the Gaussian function outlier detection, abnormal values are eliminated, and putting the new range data into the regression model trained by us, the ranging error is reduced by nearly 50 % compared with the peak and mean ranging errors in general.

scholarly journals Non-Invasive Driver Drowsiness Detection System

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4833
Author(s):  
Hafeez Ur Rehman Siddiqui ◽  
Adil Ali Saleem ◽  
Robert Brown ◽  
Bahattin Bademci ◽  
Ernesto Lee ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Detection System ◽  
Ultra Wideband ◽  
Gradient Boosting ◽  
Support Vector ◽  
Drowsiness Detection ◽  
Non Invasive ◽  
Driver Drowsiness ◽  
Uwb Radar ◽  
Tree Classifier

Drowsiness when in command of a vehicle leads to a decline in cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead to severe trauma, economic consequences, impact on others, physical injury and/or even death. Real-time and accurate driver drowsiness detection and warnings systems are necessary schemes to reduce tiredness-related driving accident rates. The research presented here aims at the classification of drowsy and non-drowsy driver states based on respiration rate detection by non-invasive, non-touch, impulsive radio ultra-wideband (IR-UWB) radar. Chest movements of 40 subjects were acquired for 5 m using a lab-placed IR-UWB radar system, and respiration per minute was extracted from the resulting signals. A structured dataset was obtained comprising respiration per minute, age and label (drowsy/non-drowsy). Different machine learning models, namely, Support Vector Machine, Decision Tree, Logistic regression, Gradient Boosting Machine, Extra Tree Classifier and Multilayer Perceptron were trained on the dataset, amongst which the Support Vector Machine shows the best accuracy of 87%. This research provides a ground truth for verification and assessment of UWB to be used effectively for driver drowsiness detection based on respiration.

scholarly journals Quantitative Interpretation of UWB Radar Images for Non-Invasive Tissue Temperature Estimation during Hyperthermia

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 818
Author(s):  
Alexandra Prokhorova ◽  
Sebastian Ley ◽  
Marko Helbig
Keyword(s):  
Three Dimensional ◽  
Microwave Frequency ◽  
Ultra Wideband ◽  
Tissue Temperature ◽  
Hyperthermia Treatment ◽  
Temperature Estimation ◽  
Radar Images ◽  
Non Invasive ◽  
Uwb Radar ◽  
Thermal Therapies

The knowledge of temperature distribution inside the tissue to be treated is essential for patient safety, workflow and clinical outcomes of thermal therapies. Microwave imaging represents a promising approach for non-invasive tissue temperature monitoring during hyperthermia treatment. In the present paper, a methodology for quantitative non-invasive tissue temperature estimation based on ultra-wideband (UWB) radar imaging in the microwave frequency range is described. The capabilities of the proposed method are demonstrated by experiments with liquid phantoms and three-dimensional (3D) Delay-and-Sum beamforming algorithms. The results of our investigation show that the methodology can be applied for detection and estimation of the temperature induced dielectric properties change.

INVESTIGATION OF HAND KINEMATICS TOWARDS FRONT CRAWL SWIMMING USING NON-INVASIVE REAL-TIME MONITORING SYSTEM

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
Front Crawl ◽  
Non Invasive ◽  
Hand Kinematics
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