Literature DB >> 22759434

Accurate respiration measurement using DC-coupled continuous-wave radar sensor for motion-adaptive cancer radiotherapy.

Changzhan Gu1, Ruijiang Li, Hualiang Zhang, Albert Y C Fung, Carlos Torres, Steve B Jiang, Changzhi Li.   

Abstract

Accurate respiration measurement is crucial in motion-adaptive cancer radiotherapy. Conventional methods for respiration measurement are undesirable because they are either invasive to the patient or do not have sufficient accuracy. In addition, measurement of external respiration signal based on conventional approaches requires close patient contact to the physical device which often causes patient discomfort and undesirable motion during radiation dose delivery. In this paper, a dc-coupled continuous-wave radar sensor was presented to provide a noncontact and noninvasive approach for respiration measurement. The radar sensor was designed with dc-coupled adaptive tuning architectures that include RF coarse-tuning and baseband fine-tuning, which allows the radar sensor to precisely measure movement with stationary moment and always work with the maximum dynamic range. The accuracy of respiration measurement with the proposed radar sensor was experimentally evaluated using a physical phantom, human subject, and moving plate in a radiotherapy environment. It was shown that respiration measurement with radar sensor while the radiation beam is on is feasible and the measurement has a submillimeter accuracy when compared with a commercial respiration monitoring system which requires patient contact. The proposed radar sensor provides accurate, noninvasive, and noncontact respiration measurement and therefore has a great potential in motion-adaptive radiotherapy.

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Year:  2012        PMID: 22759434     DOI: 10.1109/TBME.2012.2206591

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  A new respiratory monitor system for four-dimensional computed tomography by measuring the pressure change on the back of body.

Authors:  Xianwen Zhang; Jintian Tang; Gregory C Sharp; Lei Xiao; Shouping Xu; Hsiao-Ming Lu
Journal:  Br J Radiol       Date:  2020-01-20       Impact factor: 3.039

2.  Assessment of human respiration patterns via noncontact sensing using Doppler multi-radar system.

Authors:  Changzhan Gu; Changzhi Li
Journal:  Sensors (Basel)       Date:  2015-03-16       Impact factor: 3.576

Review 3.  Short-Range Noncontact Sensors for Healthcare and Other Emerging Applications: A Review.

Authors:  Changzhan Gu
Journal:  Sensors (Basel)       Date:  2016-07-26       Impact factor: 3.576

4.  Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study.

Authors:  P Samadi Miandoab; A Esmaili Torshabi; S Nankali
Journal:  J Biomed Phys Eng       Date:  2016-12-01

5.  An FMCW Radar for Localization and Vital Signs Measurement for Different Chest Orientations.

Authors:  Giulia Sacco; Emanuele Piuzzi; Erika Pittella; Stefano Pisa
Journal:  Sensors (Basel)       Date:  2020-06-20       Impact factor: 3.576

6.  Portable Microwave Radar Systems for Short-Range Localization and Life Tracking: A Review.

Authors:  Zhengyu Peng; Changzhi Li
Journal:  Sensors (Basel)       Date:  2019-03-06       Impact factor: 3.576

7.  VitRad: A low-cost continuous wave Doppler radar system with 3D-printed horn antennas for human vital sign detection.

Authors:  Hyunmin Jeong; Dohyun Kim; Gyoungdeuk Kim; Sangkil Kim
Journal:  HardwareX       Date:  2022-09-20

8.  Objective Scoring of Physiologically Induced Dyspnea by Non-Invasive RF Sensors.

Authors:  Zijing Zhang; Pragya Sharma; Thomas Conroy; Veerawat Phongtankuel; Edwin Chihchuan Kan
Journal:  IEEE Trans Biomed Eng       Date:  2021-12-23       Impact factor: 4.538

9.  A platelet-mimicking theranostic platform for cancer interstitial brachytherapy.

Authors:  Meng Lyu; Mingzhu Chen; Lujie Liu; Daoming Zhu; Xianjia Wu; Yang Li; Lang Rao; Zhirong Bao
Journal:  Theranostics       Date:  2021-06-04       Impact factor: 11.556

10.  Monitoring Respiratory Motion during VMAT Treatment Delivery Using Ultra-Wideband Radar.

Authors:  Anwar Fallatah; Miodrag Bolic; Miller MacPherson; Daniel J La Russa
Journal:  Sensors (Basel)       Date:  2022-03-16       Impact factor: 3.576

  10 in total

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