Title :
From Tumor Targeting to Speech Monitoring: Accurate Respiratory Monitoring Using Medical Continuous-Wave Radar Sensors
Author :
Changzhan Gu ; Changzhi Li
Author_Institution :
Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX, USA
Abstract :
Since the debut of medical radar sensors nearly four decades ago, there have been many technical advancements that helped this technology mature. Progresses have been seen from system architectures to signal processing algorithms. Many research efforts have been dedicated to utilize the radar sensors for different biomedical applications such as noncontact vital sign detection, human fall detection, through-wall detection, and medical imaging. A special application is radar respiration measurement in motion-adaptive cancer radiotherapy. The radar measures the respiration pattern that is used to infer the tumor location in real time. To realize accurate respiration pattern measurement, the signal distortion problem in a conventional CW radar sensor was extensively analyzed, and the solution led to a dc-coupled radar that is distortion-free. Successful preliminary clinical tests have been carried out using the radar sensor in a radiotherapy environment, demonstrating its feasibility. The same dc-coupled physiological radar sensor solution also shows the potential of monitoring the physical states and speech of the subject person.
Keywords :
CW radar; patient diagnosis; patient monitoring; remote sensing by radar; speech; tumours; conventional CW radar sensor; distortion free dc coupled radar; human fall detection; medical continuous wave radar sensors; medical imaging; medical radar sensors; motion adaptive cancer radiotherapy; noncontact vital sign detection; physical states; radar respiration measurement; respiration pattern measurement; respiratory monitoring; signal distortion problem; signal processing algorithms; speech monitoring; system architectures; through wall detection; tumor location; tumor targeting; Displacement measurement; Doppler radar; Frequency modulation; Microwave communication; Physiology; Radar detection; Radar measurements; Tumors;
Journal_Title :
Microwave Magazine, IEEE
DOI :
10.1109/MMM.2014.2308763