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Journal articles on the topic 'Vital signs monitoring using radar'

Author: Grafiati

Published: 6 September 2023

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1

Kebe, Mamady, Rida Gadhafi, Baker Mohammad, Mihai Sanduleanu, Hani Saleh, and Mahmoud Al-Qutayri. "Human Vital Signs Detection Methods and Potential Using Radars: A Review." Sensors 20, no. 5 (2020): 1454. http://dx.doi.org/10.3390/s20051454.

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Continuous monitoring of vital signs, such as respiration and heartbeat, plays a crucial role in early detection and even prediction of conditions that may affect the wellbeing of the patient. Sensing vital signs can be categorized into: contact-based techniques and contactless based techniques. Conventional clinical methods of detecting these vital signs require the use of contact sensors, which may not be practical for long duration monitoring and less convenient for repeatable measurements. On the other hand, wireless vital signs detection using radars has the distinct advantage of not requ

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Zhang, Xinyue, Xiuzhu Yang, Yi Ding, Yili Wang, Jialin Zhou, and Lin Zhang. "Contactless Simultaneous Breathing and Heart Rate Detections in Physical Activity Using IR-UWB Radars." Sensors 21, no. 16 (2021): 5503. http://dx.doi.org/10.3390/s21165503.

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Vital signs monitoring in physical activity (PA) is of great significance in daily healthcare. Impulse Radio Ultra-WideBand (IR-UWB) radar provides a contactless vital signs detection approach with advantages in range resolution and penetration. Several researches have verified the feasibility of IR-UWB radar monitoring when the target keeps still. However, various body movements are induced by PA, which lead to severe signal distortion and interfere vital signs extraction. To address this challenge, a novel joint chest–abdomen cardiopulmonary signal estimation approach is proposed to detect b

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3

Li, Zhi, Tian Jin, Yongpeng Dai, and Yongkun Song. "Through-Wall Multi-Subject Localization and Vital Signs Monitoring Using UWB MIMO Imaging Radar." Remote Sensing 13, no. 15 (2021): 2905. http://dx.doi.org/10.3390/rs13152905.

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Radar-based non-contact vital signs monitoring has great value in through-wall detection applications. This paper presents the theoretical and experimental study of through-wall respiration and heartbeat pattern extraction from multiple subjects. To detect the vital signs of multiple subjects, we employ a low-frequency ultra-wideband (UWB) multiple-input multiple-output (MIMO) imaging radar and derive the relationship between radar images and vibrations caused by human cardiopulmonary movements. The derivation indicates that MIMO radar imaging with the stepped-frequency continuous-wave (SFCW)

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Yoo, Young-Keun, and Hyun-Chool Shin. "Movement Compensated Driver’s Respiratory Rate Extraction." Applied Sciences 12, no. 5 (2022): 2695. http://dx.doi.org/10.3390/app12052695.

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In non-contact vital sign monitoring using radar, radar signal distorted by the surrounding unspecified factors is unsuitable for monitoring vital signs. In order to monitor vital signs accurately, it is essential to compensate for distortion of radar signals caused by surrounding environmental factors. In this paper, we propose a driver vital signal compensation method in driving situations, including the driver’s movements using a frequency-modulated continuous-wave (FMCW) radar. Driver’s movement is quantified from the radar signal and used to set a distortion signal compensation index to c

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Lazaro, Antonio, David Girbau, and Ramon Villarino. "ANALYSIS OF VITAL SIGNS MONITORING USING AN IR-UWB RADAR." Progress In Electromagnetics Research 100 (2010): 265–84. http://dx.doi.org/10.2528/pier09120302.

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Turppa, Emmi, Juha M. Kortelainen, Oleg Antropov, and Tero Kiuru. "Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios." Sensors 20, no. 22 (2020): 6505. http://dx.doi.org/10.3390/s20226505.

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Remote monitoring of vital signs for studying sleep is a user-friendly alternative to monitoring with sensors attached to the skin. For instance, remote monitoring can allow unconstrained movement during sleep, whereas detectors requiring a physical contact may detach and interrupt the measurement and affect sleep itself. This study evaluates the performance of a cost-effective frequency modulated continuous wave (FMCW) radar in remote monitoring of heart rate and respiration in scenarios resembling a set of normal and abnormal physiological conditions during sleep. We evaluate the vital signs

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Khan, Faheem, Asim Ghaffar, Naeem Khan, and Sung Ho Cho. "An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver." Sensors 20, no. 9 (2020): 2479. http://dx.doi.org/10.3390/s20092479.

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Non-invasive remote health monitoring plays a vital role in epidemiological situations such as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 because it is extremely risky to get close to the patient due to the spread of contagious infections. Non-invasive monitoring is also extremely necessary in situations where it is difficult to use complicated wired connections, such as ECG monitoring for infants, burn victims or during rescue missions when people are buried during building collapses/earthquakes. Due to the unique characteristics such as higher penetration

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Lim, Sungmook, Gwang Soo Jang, Wonyoung Song, Baek-hyun Kim, and Dong Hyun Kim. "Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar." Sensors 22, no. 21 (2022): 8167. http://dx.doi.org/10.3390/s22218167.

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Respiration and heartrates are important information for surgery. When the vital signs of the patient lying prone are monitored using radar installed on the back of the surgical bed, the surgeon’s movements reduce the accuracy of these monitored vital signs. This study proposes a method for enhancing the monitored vital sign accuracies of a patient lying on a surgical bed using a 60 GHz frequency modulated continuous wave (FMCW) radar system with beamforming. The vital sign accuracies were enhanced by applying a fast Fourier transform (FFT) for range and beamforming which suppress the noise ge

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Kathuria, Nitin, and Boon-Chong Seet. "24 GHz Flexible Antenna for Doppler Radar-Based Human Vital Signs Monitoring." Sensors 21, no. 11 (2021): 3737. http://dx.doi.org/10.3390/s21113737.

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Noncontact monitoring of human vital signs has been an emerging research topic in recent years. A key approach to this monitoring is the use of the Doppler radar concept which enables real-time vital signs detection, resulting in a new class of radar system known as bio-radar. The antennas are a key component of any bio-radar module and their designs should meet the common requirements of bio-radar applications such as high radiation directivity and mechanical flexibility. This paper presents the design of a four-element antenna array on a flexible liquid crystal polymer (LCP) substrate of 100

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Schellenberger, Sven, Kilin Shi, Fabian Michler, Fabian Lurz, Robert Weigel, and Alexander Koelpin. "Continuous In-Bed Monitoring of Vital Signs Using a Multi Radar Setup for Freely Moving Patients." Sensors 20, no. 20 (2020): 5827. http://dx.doi.org/10.3390/s20205827.

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In hospitals, continuous monitoring of vital parameters can provide valuable information about the course of a patient’s illness and allows early warning of emergencies. To enable such monitoring without restricting the patient’s freedom of movement and comfort, a radar system is attached under the mattress which consists of four individual radar modules to cover the entire width of the bed. Using radar, heartbeat and respiration can be measured without contact and through clothing. By processing the raw radar data, the presence of a patient can be determined and movements are categorized into

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Hanifi, Khadija, and M. Elif Karsligil. "Elderly Fall Detection With Vital Signs Monitoring Using CW Doppler Radar." IEEE Sensors Journal 21, no. 15 (2021): 16969–78. http://dx.doi.org/10.1109/jsen.2021.3079835.

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12

Alizadeh, Mostafa, George Shaker, Joao Carlos Martins De Almeida, Plinio Pelegrini Morita, and Safeddin Safavi-Naeini. "Remote Monitoring of Human Vital Signs Using mm-Wave FMCW Radar." IEEE Access 7 (2019): 54958–68. http://dx.doi.org/10.1109/access.2019.2912956.

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Wang, Pengfei, Yangyang Ma, Fulai Liang, et al. "Non-Contact Vital Signs Monitoring of Dog and Cat Using a UWB Radar." Animals 10, no. 2 (2020): 205. http://dx.doi.org/10.3390/ani10020205.

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As pets are considered members of the family, their health has received widespread attention. Since pets cannot talk and complain when they feel uncomfortable, monitoring vital signs becomes very helpful in disease detection, as well as observing their progression and response to treatment. In this study, we proposed an ultra-wideband radar-based, non-contact animal vital sign monitoring scheme that could monitor the breathing and heart rate of a pet in real-time. The primary advantage of the ultra-wideband radar was its ability to operate remotely without electrodes or wires and through any c

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Xiang, Mingxu, Wu Ren, Weiming Li, Zhenghui Xue, and Xinyue Jiang. "High-Precision Vital Signs Monitoring Method Using a FMCW Millimeter-Wave Sensor." Sensors 22, no. 19 (2022): 7543. http://dx.doi.org/10.3390/s22197543.

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The method of using millimeter-wave radar sensors to detect human vital signs, namely respiration and heart rate, has received widespread attention in non-contact monitoring. These sensors are compact, lightweight, and able to sense and detect various scenarios. However, it still faces serious problems of noisy interference in hardware, which leads to a low signal-to-noise ratio (SNR). We used a frequency-modulated continuous wave (FMCW) radar sensor operating at 77 GHz in an office environment to extract the respiration and heart rate of a person accustomed to sitting in a chair. Indeed, the

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Choi, Ho-Ik, Woo-Jin Song, Heemang Song, and Hyun-Chool Shin. "Selecting Target Range with Accurate Vital Sign Using Spatial Phase Coherency of FMCW Radar." Applied Sciences 11, no. 10 (2021): 4514. http://dx.doi.org/10.3390/app11104514.

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Respiration and heartbeat are basic indicators of the physiological state of human beings. Frequency-modulated continuous wave (FMCW) radar can sense micro-displacement in the human body surface without contact, and is used for vital-sign (respiration and heartbeat) monitoring. For the extraction of vital-sign, it is essential to select the target range containing vital-sign information. In this paper, we exploit the coherency of phase in different range-bins of FMCW radar to effectively select the range-bins that contain accurate signals for remote monitoring of human respiration and heartbea

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Iyer, Srikrishna, Leo Zhao, Manoj Prabhakar Mohan, et al. "mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning." Sensors 22, no. 9 (2022): 3106. http://dx.doi.org/10.3390/s22093106.

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A non-contact, non-invasive monitoring system to measure and estimate the heart and breathing rate of humans using a frequency-modulated continuous wave (FMCW) mm-wave radar at 77 GHz is presented. A novel diagnostic system is proposed which extracts heartbeat phase signals from the FMCW radar (reconstructed using Fourier series analysis) to test a three-layer artificial neural network model to predict the presence of arrhythmia in individuals. The effect of person orientation, distance of measurement and movement was analyzed with respect to a reference device based on statistical measures th

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Mostafanezhad, Isar, and Olga Boric-Lubecke. "Benefits of Coherent Low-IF for Vital Signs Monitoring Using Doppler Radar." IEEE Transactions on Microwave Theory and Techniques 62, no. 10 (2014): 2481–87. http://dx.doi.org/10.1109/tmtt.2014.2346151.

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Dong, Xichao, Yun Feng, Chang Cui, and Jun Lu. "CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs." Electronics 12, no. 12 (2023): 2732. http://dx.doi.org/10.3390/electronics12122732.

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In recent years, radar, especially frequency-modulated continuous wave (FMCW) radar, has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, especially when adjacent human targets lie in the same resolution cell. In this paper, a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)–independent component analysis (ICA) was proposed to obtain the vital-sign information (including respiratory rate and heart rate) of adjacent human targets by usin

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He, Mi, Yongjian Nian, Luping Xu, Lihong Qiao, and Wenwu Wang. "Adaptive Separation of Respiratory and Heartbeat Signals among Multiple People Based on Empirical Wavelet Transform Using UWB Radar." Sensors 20, no. 17 (2020): 4913. http://dx.doi.org/10.3390/s20174913.

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The non-contact monitoring of vital signs by radar has great prospects in clinical monitoring. However, the accuracy of separated respiratory and heartbeat signals has not satisfied the clinical limits of agreement. This paper presents a study for automated separation of respiratory and heartbeat signals based on empirical wavelet transform (EWT) for multiple people. The initial boundary of the EWT was set according to the limited prior information of vital signs. Using the initial boundary, empirical wavelets with a tight frame were constructed to adaptively separate the respiratory signal, t

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Guo, Kai, Chang Liu, Shasha Zhao, Jingxin Lu, Senhao Zhang, and Hongbo Yang. "Design of a Millimeter-Wave Radar Remote Monitoring System for the Elderly Living Alone Using WIFI Communication." Sensors 21, no. 23 (2021): 7893. http://dx.doi.org/10.3390/s21237893.

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In response to the current demand for the remote monitoring of older people living alone, a non-contact human vital signs monitoring system based on millimeter wave radar has gradually become the object of research. This paper mainly carried out research regarding the detection method to obtain human breathing and heartbeat signals using a frequency modulated continuous wave system. We completed a portable millimeter-wave radar module for wireless communication. The radar module was a small size and had a WIFI communication interface, so we only needed to provide a power cord for the radar mod

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21

Kakouche, Ibrahim, Hamza Abadlia, Mohammed Nabil El Korso, Ammar Mesloub, Abdelmadjid Maali, and Mohamed Salah Azzaz. "Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar." Electronics 10, no. 22 (2021): 2805. http://dx.doi.org/10.3390/electronics10222805.

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Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed system, the collected radar data are converted to several narrow-band signals using the generalized Goertzel algorithm (GGA), which are used as the input of the designed phased arrays for position estimation. In this context, we introduce the incoherent signal subspace methods (ISSM) for the direction of

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Wang, Zhang, Ma, et al. "Method for Distinguishing Humans and Animals in Vital Signs Monitoring Using IR-UWB Radar." International Journal of Environmental Research and Public Health 16, no. 22 (2019): 4462. http://dx.doi.org/10.3390/ijerph16224462.

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Radar has been widely applied in many scenarios as a critical remote sensing tool for non-contact vital sign monitoring, particularly for sleep monitoring and heart rate measurement within the home environment. For non-contact monitoring with radar, interference from house pets is an important issue that has been neglected in the past. Many animals have respiratory frequencies similar to those of humans, and they are easily mistaken for human targets in non-contact monitoring, which would trigger a false alarm because of incorrect physiological parameters from the animal. In this study, humans

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Abouzaid, Salah H., Wael A. Ahmad, Thomas F. Eibert, and Herman Jalli Ng. "Vital signs monitoring using pseudo-random noise coded Doppler radar with Delta–Sigma modulation." IET Radar, Sonar & Navigation 14, no. 11 (2020): 1778–87. http://dx.doi.org/10.1049/iet-rsn.2020.0170.

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Soldovieri, Francesco, Ilaria Catapano, Lorenzo Crocco, Lesya N. Anishchenko, and Sergey I. Ivashov. "A Feasibility Study for Life Signs Monitoring via a Continuous-Wave Radar." International Journal of Antennas and Propagation 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/420178.

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We present a feasibility study for life signs detection using a continuous-wave radar working in the band around 4 GHz. The data-processing is carried out by using two different data processing approaches, which are compared about the possibility to characterize the frequency behaviour of the breathing and heartbeat activity. The two approaches are used with the main aim to show the possibility of monitoring the vital signs activity in an accurate and reliable way.

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Rittiplang, Artit, Pattarapong Phasukkit, and Teerapong Orankitanun. "Optimal Central Frequency for Non-Contact Vital Sign Detection Using Monocycle UWB Radar." Sensors 20, no. 10 (2020): 2916. http://dx.doi.org/10.3390/s20102916.

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Ultra-wideband (UWB) radar has become a critical remote-sensing tool for non-contact vital sign detection such as emergency rescues, securities, and biomedicines. Theoretically, the magnitude of the received reflected signal is dependent on the central frequency of mono-pulse waveform used as the transmitted signal. The research is based on the hypothesis that the stronger the received reflected signals, the greater the detectability of life signals. In this paper, we derive a new formula to compute the optimal central frequency to obtain as maximum received reflect signal as possible over the

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Wang, Yong, Wen Wang, Mu Zhou, Aihu Ren, and Zengshan Tian. "Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar." Sensors 20, no. 10 (2020): 2999. http://dx.doi.org/10.3390/s20102999.

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In recent years, non-contact radar detection technology has been able to achieve long-term and long-range detection for the breathing and heartbeat signals. Compared with contact-based detection methods, it brings a more comfortable and a faster experience to the human body, and it has gradually received attention in the field of radar sensing. Therefore, this paper extends the application of millimeter-wave radar to the field of health care. The millimeter-wave radar first transmits the frequency-modulated continuous wave (FMCW) and collects the echo signals of the human body. Then, the phase

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Yu, Xiao, Yue Yin, Hao Lv, et al. "NON-CONTACT DETERMINATION OF VITAL SIGNS MONITORING OF ANIMALS IN HEMORRHAGE STATES USING BIO-RADAR." Progress In Electromagnetics Research M 100 (2021): 23–34. http://dx.doi.org/10.2528/pierm20102706.

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Al Ahmad, Mahmoud, and Lillian Joyce Among Olule. "Simultaneous measurements of multiple vital signs using non-contact frequency modulated continuous wave radar monitoring." Alexandria Engineering Journal 71 (May 2023): 609–17. http://dx.doi.org/10.1016/j.aej.2023.03.060.

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Lv, Wenjie, Wangdong He, Xipeng Lin, and Jungang Miao. "Non-Contact Monitoring of Human Vital Signs Using FMCW Millimeter Wave Radar in the 120 GHz Band." Sensors 21, no. 8 (2021): 2732. http://dx.doi.org/10.3390/s21082732.

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A non-contact heartbeat/respiratory rate monitoring system was designed using narrow beam millimeter wave radar. Equipped with a special low sidelobe and small-sized antenna lens at the front end of the receiving and transmitting antennas in the 120 GHz band of frequency-modulated continuous-wave (FMCW) system, this sensor system realizes the narrow beam control of radar, reduces the interference caused by the reflection of other objects in the measurement background, improves the signal-to-clutter ratio (SCR) of the intermediate frequency signal (IF), and reduces the complexity of the subsequ

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Mercuri, Marco, Tom Torfs, Maxim Rykunov, Stefano Laureti, Marco Ricci, and Felice Crupi. "Analysis of Signal Processing Methods to Reject the DC Offset Contribution of Static Reflectors in FMCW Radar-Based Vital Signs Monitoring." Sensors 22, no. 24 (2022): 9697. http://dx.doi.org/10.3390/s22249697.

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Frequency-modulated continuous wave (FMCW) radars are currently being investigated for remote vital signs monitoring (measure of respiration and heart rates) as an innovative wireless solution for healthcare and ambient assisted living. However, static reflectors (furniture, objects, stationary body parts, etc.) within the range or range angular bin where the subject is present contribute in the Doppler signal to a direct current (DC) offset. The latter is added to the person’s information, containing also a useful DC component, causing signal distortion and hence reducing the accuracy in meas

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Toker, Onur, and Rawa Adla. "A Sub-6 GHz Vital Signs Sensor Using Software Defined Radios." Engineering Proceedings 2, no. 1 (2020): 38. http://dx.doi.org/10.3390/ecsa-7-08197.

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Recently, there has been high demand for contactless devices for monitoring vital signs, therefore developing a low-cost contactless breathing sensor would have a great benefit for many patients and healthcare workers. In this paper, we propose a contactless sub-6 GHz breathing sensor with an implementation using a low-cost universal software radio peripheral (USRP) B205-mini device. A detailed performance analysis of the proposed system with different sensor algorithms is presented. The proposed system estimates the channel phase shift and detects the presence of low frequency oscillations in

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Choi, Sang Ho, and Heenam Yoon. "Convolutional Neural Networks for the Real-Time Monitoring of Vital Signs Based on Impulse Radio Ultrawide-Band Radar during Sleep." Sensors 23, no. 6 (2023): 3116. http://dx.doi.org/10.3390/s23063116.

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Vital signs provide important biometric information for managing health and disease, and it is important to monitor them for a long time in a daily home environment. To this end, we developed and evaluated a deep learning framework that estimates the respiration rate (RR) and heart rate (HR) in real time from long-term data measured during sleep using a contactless impulse radio ultrawide-band (IR-UWB) radar. The clutter is removed from the measured radar signal, and the position of the subject is detected using the standard deviation of each radar signal channel. The 1D signal of the selected

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Liang, Qiancheng, Lisheng Xu, Nan Bao, et al. "Research on Non-Contact Monitoring System for Human Physiological Signal and Body Movement." Biosensors 9, no. 2 (2019): 58. http://dx.doi.org/10.3390/bios9020058.

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With the rapid increase in the development of miniaturized sensors and embedded devices for vital signs monitoring, personal physiological signal monitoring devices are becoming popular. However, physiological monitoring devices which are worn on the body normally affect the daily activities of people. This problem can be avoided by using a non-contact measuring device like the Doppler radar system, which is more convenient, is private compared to video monitoring, infrared monitoring and other non-contact methods. Additionally real-time physiological monitoring with the Doppler radar system c

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Mercuri, Marco, Giulia Sacco, Rainer Hornung, et al. "2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments." IEEE Internet of Things Journal 8, no. 14 (2021): 11065–77. http://dx.doi.org/10.1109/jiot.2021.3051580.

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Nosrati, Mehrdad, Shahram Shahsavari, Sanghoon Lee, Hua Wang, and Negar Tavassolian. "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, no. 4 (2019): 2390–404. http://dx.doi.org/10.1109/tap.2019.2893337.

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Mingle, Solomon, Despoina Kampouridou, and Alexandros Feresidis. "Multi-Layer Beam Scanning Leaky Wave Antenna for Remote Vital Signs Detection at 60 GHz." Sensors 23, no. 8 (2023): 4059. http://dx.doi.org/10.3390/s23084059.

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A multi-layer beam-scanning leaky wave antenna (LWA) for remote vital sign monitoring (RVSM) at 60 GHz using a single-tone continuous-wave (CW) Doppler radar has been developed in a typical dynamic environment. The antenna’s components are: a partially reflecting surface (PRS), high-impedance surfaces (HISs), and a plain dielectric slab. A dipole antenna works as a source together with these elements to produce a gain of 24 dBi, a frequency beam scanning range of 30°, and precise remote vital sign monitoring (RVSM) up to 4 m across the operating frequency range (58–66 GHz). The antenna require

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Xu, Hongqiang, Malikeh P. Ebrahim, Kareeb Hasan, Fatemeh Heydari, Paul Howley, and Mehmet Rasit Yuce. "Accurate Heart Rate and Respiration Rate Detection Based on a Higher-Order Harmonics Peak Selection Method Using Radar Non-Contact Sensors." Sensors 22, no. 1 (2021): 83. http://dx.doi.org/10.3390/s22010083.

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Vital signs such as heart rate and respiration rate are among the most important physiological signals for health monitoring and medical applications. Impulse radio (IR) ultra-wideband (UWB) radar becomes one of the essential sensors in non-contact vital signs detection. The heart pulse wave is easily corrupted by noise and respiration activity since the heartbeat signal has less power compared with the breathing signal and its harmonics. In this paper, a signal processing technique for a UWB radar system was developed to detect the heart rate and respiration rate. There are four main stages o

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Yang, Zi-Kai, Heping Shi, Sheng Zhao, and Xiang-Dong Huang. "Vital Sign Detection during Large-Scale and Fast Body Movements Based on an Adaptive Noise Cancellation Algorithm Using a Single Doppler Radar Sensor." Sensors 20, no. 15 (2020): 4183. http://dx.doi.org/10.3390/s20154183.

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The non-contact detection of human vital signs (i.e., respiration rate (RR) and heartbeat rate (HR)) using a continuous-wave (CW) Doppler radar sensor has great potential for intensive care monitoring, home healthcare, etc. However, large-scale and fast random body movement (RBM) has been a bottleneck for vital sign detection using a single CW Doppler radar. To break this dilemma, this study proposed a scheme combining adaptive noise cancellation (ANC) with polynomial fitting, which could retrieve the weak components of both respiration and heartbeat signals that were submerged under serious R

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Islam, Shekh Md Mahmudul, Olga Borić-Lubecke, Yao Zheng, and Victor M. Lubecke. "Radar-Based Non-Contact Continuous Identity Authentication." Remote Sensing 12, no. 14 (2020): 2279. http://dx.doi.org/10.3390/rs12142279.

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Non-contact vital signs monitoring using microwave Doppler radar has shown great promise in healthcare applications. Recently, this unobtrusive form of physiological sensing has also been gaining attention for its potential for continuous identity authentication, which can reduce the vulnerability of traditional one-pass validation authentication systems. Physiological Doppler radar is an attractive approach for continuous identity authentication as it requires neither contact nor line-of-sight and does not give rise to privacy concerns associated with video imaging. This paper presents a revi

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Chen, Xiao, and Xuxiang Ni. "Noncontact Sleeping Heartrate Monitoring Method Using Continuous-Wave Doppler Radar Based on the Difference Quadratic Sum Demodulation and Search Algorithm." Sensors 22, no. 19 (2022): 7646. http://dx.doi.org/10.3390/s22197646.

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Continuous-wave doppler radar, which has the advantages of simple structure, low cost, and low power consumption, has attracted extensive attention in the detection of human vital signs. However, while respiration and heartbeat signals are mixed in the echo phase, the amplitude difference between the two signals is so large that it becomes difficult to measure the heartrate (HR) from the interference of respiration stably and accurately. In this paper, the difference quadratic sum demodulation method is proposed. According to the mixed characteristics of respiration and heartbeat after demodul

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Lee, Hyunjae, Byung-Hyun Kim, Jin-Kwan Park, Sung Woo Kim, and Jong-Gwan Yook. "A Resolution Enhancement Technique for Remote Monitoring of the Vital Signs of Multiple Subjects Using a 24 Ghz Bandwidth-Limited FMCW Radar." IEEE Access 8 (2020): 1240–48. http://dx.doi.org/10.1109/access.2019.2961130.

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Iwata, Yuki, Han Trong Thanh, Guanghao Sun, and Koichiro Ishibashi. "High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter." Sensors 21, no. 11 (2021): 3588. http://dx.doi.org/10.3390/s21113588.

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Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals. Herein, we propose a novel method based on a matched filter to solve this problem. The method compr

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Liu, Yang, Clint Sweeney, Jill C. Mayeda, et al. "A Feasibility Study of Remote Non-Contact Vital Signs (NCVS) Monitoring in a Clinic Using a Novel Sensor Realized by Software-Defined Radio (SDR)." Biosensors 13, no. 2 (2023): 191. http://dx.doi.org/10.3390/bios13020191.

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The COVID-19 outbreak has caused panic around the world as it is highly infectious and has caused about 5 million deaths globally. A robust wireless non-contact vital signs (NCVS) sensor system that can continuously monitor the respiration rate (RR) and heart rate (HR) of patients clinically and remotely with high accuracy can be very attractive to healthcare workers (HCWs), as such a system can not only avoid HCWs’ close contact with people with COVID-19 to reduce the infection rate, but also be used on patients quarantined at home for telemedicine and wireless acute-care. Therefore, we devel

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Saner, Hugo, Samuel Elia Johannes Knobel, Narayan Schuetz, and Tobias Nef. "Contact-free sensor signals as a new digital biomarker for cardiovascular disease: chances and challenges." European Heart Journal - Digital Health 1, no. 1 (2020): 30–39. http://dx.doi.org/10.1093/ehjdh/ztaa006.

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Abstract Multiple sensor systems are used to monitor physiological parameters, activities of daily living and behaviour. Digital biomarkers can be extracted and used as indicators for health and disease. Signal acquisition is either by object sensors, wearable sensors, or contact-free sensors including cameras, pressure sensors, non-contact capacitively coupled electrocardiogram (cECG), radar, and passive infrared motion sensors. This review summarizes contemporary knowledge of the use of contact-free sensors for patients with cardiovascular disease and healthy subjects following the PRISMA de

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Rahman, MuhibUr, Mahdi NaghshvarianJahromi, Seyed Mirjavadi, and Abdel Hamouda. "Bandwidth Enhancement and Frequency Scanning Array Antenna Using Novel UWB Filter Integration Technique for OFDM UWB Radar Applications in Wireless Vital Signs Monitoring." Sensors 18, no. 9 (2018): 3155. http://dx.doi.org/10.3390/s18093155.

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This paper presents the bandwidth enhancement and frequency scanning for fan beam array antenna utilizing novel technique of band-pass filter integration for wireless vital signs monitoring and vehicle navigation sensors. First, a fan beam array antenna comprising of a grounded coplanar waveguide (GCPW) radiating element, CPW fed line, and the grounded reflector is introduced which operate at a frequency band of 3.30 GHz and 3.50 GHz for WiMAX (World-wide Interoperability for Microwave Access) applications. An advantageous beam pattern is generated by the combination of a CPW feed network, non

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Biró, Attila, Sándor Miklós Szilágyi, László Szilágyi, Jaime Martín-Martín, and Antonio Ignacio Cuesta-Vargas. "Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer." Sensors 23, no. 7 (2023): 3595. http://dx.doi.org/10.3390/s23073595.

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Background: One of the most critical topics in sports safety today is the reduction in injury risks through controlled fatigue using non-invasive athlete monitoring. Due to the risk of injuries, it is prohibited to use accelerometer-based smart trackers, activity measurement bracelets, and smart watches for recording health parameters during performance sports activities. This study analyzes the synergy feasibility of medical radar sensors and tri-axial acceleration sensor data to predict physical activity key performance indexes in performance sports by using machine learning (ML). The novelt

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Rahman, MuhibUr, Mahdi NaghshvarianJahromi, Seyed Sajad Mirjavadi, and Abdel Magid Hamouda. "Resonator Based Switching Technique between Ultra Wide Band (UWB) and Single/Dual Continuously Tunable-Notch Behaviors in UWB Radar for Wireless Vital Signs Monitoring." Sensors 18, no. 10 (2018): 3330. http://dx.doi.org/10.3390/s18103330.

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This paper presents a novel resonator that can switch and create three important behaviors within the same antenna using miniaturized capacitors. The resonator was integrated into conventional Ultra-Wide Band (UWB) antenna to achieve UWB and Single/Dual continuously tunable-notch behaviors. The Single/Dual notched was continuously tuned to our desired frequency band by changing the value of the capacitors. The antenna designed and fabricated to validate these behaviors had a compact size of 24 × 30.5 mm2, including the ground plane. The radiation patterns were very clean due to the placement o

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Edanami, Keisuke, Masaki Kurosawa, Hoang Thi Yen, et al. "Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU." Computer Methods and Programs in Biomedicine 226 (November 2022): 107163. http://dx.doi.org/10.1016/j.cmpb.2022.107163.

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Li, Changzhi, Julie Cummings, Jeffrey Lam, Eric Graves, and Wenhsing Wu. "Radar remote monitoring of vital signs." IEEE Microwave Magazine 10, no. 1 (2009): 47–56. http://dx.doi.org/10.1109/mmm.2008.930675.

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Yoo, Sungwon, Shahzad Ahmed, Sun Kang, et al. "Radar Recorded Child Vital Sign Public Dataset and Deep Learning-Based Age Group Classification Framework for Vehicular Application." Sensors 21, no. 7 (2021): 2412. http://dx.doi.org/10.3390/s21072412.

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The ongoing intense development of short-range radar systems and their improved capability of measuring small movements make these systems reliable solutions for the extraction of human vital signs in a contactless fashion. The continuous contactless monitoring of vital signs can be considered in a wide range of applications, such as remote healthcare solutions and context-aware smart sensor development. Currently, the provision of radar-recorded datasets of human vital signs is still an open issue. In this paper, we present a new frequency-modulated continuous wave (FMCW) radar-recorded vital

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