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Critical Reviews™ in Biomedical Engineering

Publication de 6  numéros par an

ISSN Imprimer: 0278-940X

ISSN En ligne: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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A Non-Contact Vital Signs Monitor

Volume 28, Numéro 1&2, 2000, pp. 173-178
DOI: 10.1615/CritRevBiomedEng.v28.i12.290
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RÉSUMÉ

The expansion and contraction of the lungs and heart result in movement of the chest wall that can be detected and monitored to determine respiration and heart rate. A prototype non-contact Vital Signs Monitor (VSM) has been developed which uses very low power, high frequency Doppler radar to detect these motions. Digital signal processing (DSP) techniques, imbedded in the VSM, are used to extract heart and respiration rate information from the resultant waveform.
A 10-GHz prototype VSM was developed for the Air Force in the mid-1980s using analog technology. The objective was to assess a fallen soldier's clinical condition at distances up to 100 meters before committing resources to assist that individual. An updated and improved version of the original VSM was developed in 1997. This device was designed to operate at shorter distances, use a higher frequency carrier, and provide more specific heart and respiration rate information using digital signal prdcessing techniques.
The VSM radar system is a straightforward homodyne receiver. It operates using frequency modulated continuous wave (FM-CW) transmission, which allows for very low power levels. The safe human power density exposure level at its operating frequency of 35 GHz is 10 mW/cm2. A simple approximation using uniform distribution and an antenna aperture of 2 cm by 3 cm gives a power density at the antenna face of 0.017 mW/cm2, nearly a factor of 1000 below the safe level.
When the VSM's antenna is trained on the chest wall of a subject, the VSM is capable of measuring and distinguishing minute movements resulting from the mechanical activity of the heart and lungs. As the subject's chest wall moves, the exact phase of the return signal changes. To avoid the possibility of phase-related dead spots, two signals differing in phase by 90 degrees are used to demodulate the signal to baseband (DC). The two resulting "time-varying DC" signals represent the sine and cosine of a phase angle corresponding to the changing position of the target, in this case the motion of the chest wall. The current VSM operates at a frequency of 35 GHz with a corresponding wavelength of only 8.6 mm. This provides a response sensitive enough to detect the small motions caused by cardiac function.
The Vital Signs Monitor has several possible application areas. The fact that it is noncontacting would make it especially attractive for monitoring patients in bum units, NICUs, or trauma centers, where attaching electrodes is either inconvenient or not feasible. Results to date indicate a strong correlation between the cardiac component of the motion signal and an electrocardiogram (ECG). With careful signal processing and analysis, it may be possible to extract clinically useful information about cardiac condition, function, or performance from the surface-motion waveform. This could provide a safe, inexpensive, and painless addition to the diagnostic and monitoring tools currently available to cardiologists. Although mere are technical obstacles to overcome in filtering gross motions of the subject, the VSM offers significant advances over conventional methods of measuring heart and respiration rate.

CITÉ PAR
  1. Postolache Octavian, Girão Pedro, Postolache Gabriela, Seismocardiogram and Ballistocardiogram Sensing, in Advanced Instrument Engineering, 2013. Crossref

  2. Lu Guohua, Yang Fang, Tian Yue, Jing Xijing, Wang Jianqi, Contact-free Measurement of Heart Rate Variability via a Microwave Sensor, Sensors, 9, 12, 2009. Crossref

  3. Long Xi, Yang Jie, Weysen Tim, Haakma Reinder, Foussier Jérôme, Fonseca Pedro, Aarts Ronald M, Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging, Physiological Measurement, 35, 12, 2014. Crossref

  4. Mostov K., Liptsen E., Boutchko R., Medical applications of shortwave FM radar: Remote monitoring of cardiac and respiratory motion, Medical Physics, 37, 3, 2010. Crossref

  5. Xin Zhu , Wenxi Chen , Nemoto T., Kanemitsu Y., Kitamura K., Yamakoshi K., Daming Wei , Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep, IEEE Transactions on Biomedical Engineering, 53, 12, 2006. Crossref

  6. Song Yilin, Gao Shumei, Wang Guanran, Zhang Tong, Development of a Non-Restrictive Monitoring System for Bio-Information during Sleep, 2011 5th International Conference on Bioinformatics and Biomedical Engineering, 2011. Crossref

  7. Zhihao Chen , Ju Teng Teo , Soon Huat Ng , Xiufeng Yang , Bin Zhou , Yue Zhang , Hwi Ping Loo , Haihong Zhang , Thong Mark, Monitoring respiration and cardiac activity during sleep using microbend fiber sensor: A clinical study and new algorithm, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Crossref

  8. Hua Zhang , Sheng Li , Xijing Jing , Pengfei Zhang , Yang Zhang , Teng Jiao , Guohua Lu , Jianqi Wang , The Separation of the Heartbeat and Respiratory Signal of a Doppler Radar Based on the LMS Adaptive Harmonic Cancellation Algorithm, 2013 Sixth International Symposium on Computational Intelligence and Design, 2013. Crossref

  9. Mestha Lalit K., Kyal Survi, Beilei Xu , Lewis Leslie Edward, Kumar Vijay, Towards continuous monitoring of pulse rate in neonatal intensive care unit with a webcam, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Crossref

  10. Xi Long , Fonseca Pedro, Foussier Jerome, Haakma Reinder, Aarts Ronald M., Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping, IEEE Journal of Biomedical and Health Informatics, 18, 4, 2014. Crossref

  11. Zhu Xin, Chen Wenxi, Nemoto Tetsu, Kitamura Kei-ichiro, Wei Daming, Analysis of pulse rate, respiration rhythm, and body movement during sleep detected by pressure sensor, 2010 2nd International Symposium on Aware Computing, 2010. Crossref

  12. Alzahrani Ahmed, Whitehead Anthony, Preprocessing Realistic Video for Contactless Heart Rate Monitoring Using Video Magnification, 2015 12th Conference on Computer and Robot Vision, 2015. Crossref

  13. Varanini M., Berardi P.C., Conforti F., Micalizzi M., Neglia D., Macerata A., Cardiac and respiratory monitoring through non-invasive and contactless radar technique, 2008 Computers in Cardiology, 2008. Crossref

  14. Zhu Xin, Chen Wenxi, Tang Zunyi, Nemoto Tetsu, Wei Daming, Automatic home care system for monitoring HR/RR during sleep, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. Crossref

  15. Guohua Lu , Fang Yang , Xijing Jing , Jianqi Wang , Contact-free measurement of heartbeat signal via a doppler radar using adaptive filtering, 2010 International Conference on Image Analysis and Signal Processing, 2010. Crossref

  16. Fekr Atena Roshan, Radecka Katarzyna, Zilic Zeljko, Design and Evaluation of an Intelligent Remote Tidal Volume Variability Monitoring System in E-Health Applications, IEEE Journal of Biomedical and Health Informatics, 19, 5, 2015. Crossref

  17. Lu Guohua, Yang Fang, Jing Xijing, Yu Xiao, Zhang Hua, Xue Huijun, Wang Jianqi, Contact-Free Monitoring of Human Vital Signs via a Microwave Sensor, 2011 5th International Conference on Bioinformatics and Biomedical Engineering, 2011. Crossref

  18. Zhao Fang, Li Meng, Qian Yi, Tsien Joe Z., Androulakis Ioannis P., Remote Measurements of Heart and Respiration Rates for Telemedicine, PLoS ONE, 8, 10, 2013. Crossref

  19. Fekr Atena, Janidarmian Majid, Radecka Katarzyna, Zilic Zeljko, A Medical Cloud-Based Platform for Respiration Rate Measurement and Hierarchical Classification of Breath Disorders, Sensors, 14, 6, 2014. Crossref

  20. Al-Naji Ali, Chahl Javaan, Remote respiratory monitoring system based on developing motion magnification technique, Biomedical Signal Processing and Control, 29, 2016. Crossref

  21. Xu Beilei, Madhu Himanshu, Mestha Lalit K., A study of the effect of subject motion to pulse rate estimation, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Crossref

  22. Al-Naji Ali, Gibson Kim, Lee Sang-Heon, Chahl Javaan, Monitoring of Cardiorespiratory Signal: Principles of Remote Measurements and Review of Methods, IEEE Access, 5, 2017. Crossref

  23. Aileni Raluca Maria, Pasca Sever, Strungaru Rodica, Valderrama Carlos, Biomedical signal acquisition for respiration monitoring by flexible analog wearable sensors, 2017 E-Health and Bioengineering Conference (EHB), 2017. Crossref

  24. Jianqi Wang, Chongxun Zheng, Guohua Lu, Xijing Jing, A New Method for Identifying the Life Parameters via Radar, EURASIP Journal on Advances in Signal Processing, 2007, 1, 2007. Crossref

  25. Tayibnapis Iman, Yang Yeon-Mo, Lim Ki, Blood Volume Pulse Extraction for Non-Contact Heart Rate Measurement by Digital Camera Using Singular Value Decomposition and Burg Algorithm, Energies, 11, 5, 2018. Crossref

  26. Lu Guo Hua, Fang Fang, Jing Xi Jing, Yu Xiao, Wang Jian Qi, A Contact-Free Monitor of Human’S Vital Signs, Applied Mechanics and Materials, 138-139, 2011. Crossref

  27. Zhu Xin, Chen Wenxi, Nemoto Tetsu, Kitamura Kei-ichiro, Wei Daming, Long-Term Monitoring of Heart Rate, Respiration Rhythm, and Body Movement During Sleep Based upon a Network, Telemedicine and e-Health, 16, 2, 2010. Crossref

  28. Lu Guo Hua, Yang Fang, Jing Xi Jing, Yu Xiao, Wang Hua, Wang Jian Qi, A Microwave Sensor for Contact-Free Measurement of Human Heart Rate, Key Engineering Materials, 500, 2012. Crossref

  29. Sun Yue, Wang Wenjin, Long Xi, Meftah Mohammed, Tan Tao, Shan Caifeng, Aarts Ronald M., de With Peter H. N., Respiration Monitoring for Premature Neonates in NICU, Applied Sciences, 9, 23, 2019. Crossref

  30. Zhang Yi, Chen Zhihao, Hee Hwan Ing, Noninvasive Measurement of Heart Rate and Respiratory Rate for Perioperative Infants, Journal of Lightwave Technology, 37, 11, 2019. Crossref

  31. Fekr Atena Roshan, Janidarmian Majid, Radecka Katarzyna, Zilic Zeljko, Development of a Remote Monitoring System for Respiratory Analysis, in Internet of Things. User-Centric IoT, 150, 2015. Crossref

  32. Wang Senmao, Ni Xiaoling, Li Liangye, Wang Jingyi, Liu Qi, Yan Zhijun, Zhang Lin, Sun Qizhen, Noninvasive Monitoring of Vital Signs Based on Highly Sensitive Fiber Optic Mattress, IEEE Sensors Journal, 20, 11, 2020. Crossref

  33. Gleichauf Johanna, Niebler Christine, Koelpin Alexander, Automatic non-contact monitoring of the respiratory rate of neonates using a structured light camera, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020. Crossref

  34. Gleichauf Johanna, Herrmann Sven, Hennemann Lukas, Krauss Hannes, Nitschke Janina, Renner Philipp, Niebler Christine, Koelpin Alexander, Automated Non-Contact Respiratory Rate Monitoring of Neonates Based on Synchronous Evaluation of a 3D Time-of-Flight Camera and a Microwave Interferometric Radar Sensor, Sensors, 21, 9, 2021. Crossref

  35. Jena Paramananda, Sahu Kedar Nath, Millimeter Wave FMCW Radar for Contactless Diagnosis of Cardiovascular Diseases, 2021 2nd International Conference on Range Technology (ICORT), 2021. Crossref

  36. Slapničar Gašper, Wang Wenjin, Luštrek Mitja, Classification of Hemodynamics Scenarios from a Public Radar Dataset Using a Deep Learning Approach, Sensors, 21, 5, 2021. Crossref

  37. Postolache Octavian, Girão Pedro, Postolache Gabriela, Seismocardiogram and Ballistocardiogram Sensing, International Journal of Measurement Technologies and Instrumentation Engineering, 1, 3, 2011. Crossref

  38. Nosrati Mehrdad, Shahsavari Shahram, Lee Sanghoon, Wang Hua, Tavassolian Negar, A Concurrent Dual-Beam Phased-Array Doppler Radar Using MIMO Beamforming Techniques for Short-Range Vital-Signs Monitoring, IEEE Transactions on Antennas and Propagation, 67, 4, 2019. Crossref

  39. Kassab Leen Yassin, Law Andrew, Wallace Bruce, Lariviere-Chartier Julien, Goubran Rafik, Knoefel Frank, The Effect of Noise on Contactless Heart Rate Measurement using Video Magnification, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2022. Crossref

  40. Soliman Moamen M., Ganti Venu G., Inan Omer T., Toward Wearable Estimation of Tidal Volume via Electrocardiogram and Seismocardiogram Signals, IEEE Sensors Journal, 22, 18, 2022. Crossref

  41. Siam Ali I., El-Bahnasawy Nirmeen A., El Banby Ghada M., Abou Elazm Atef, Abd El-Samie Fathi E., Efficient video-based breathing pattern and respiration rate monitoring for remote health monitoring, Journal of the Optical Society of America A, 37, 11, 2020. Crossref

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