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Millimeter-wave (mmWave) radar enables contactless respiratory sensing,yet fine-grained monitoring is often degraded by nonstationary interference from body micromotions.To achieve micromotion interference removal,we propose…

Image and Video Processing · Electrical Eng. & Systems 2026-03-24 Yong Wang , Qifan Shen , Bao Zhang , Zijun Huang , Chengbo Zhu , Shuai Yao , Qisong Wu

Deviations in respiratory rate often precede abnormalities in other vital signs. However, continuously monitoring respiratory rates outside clinical settings remains challenging due to the obtrusive nature and sensitivity to body motions in…

Signal Processing · Electrical Eng. & Systems 2024-11-15 Sebastian Reidy , Manuel Meier , Christian Holz

This study proposes a method to determine the filter parameters required for the topology method, which is a radar-based noncontact method for measurement of heart inter-beat intervals. The effectiveness of the proposed method is evaluated…

Signal Processing · Electrical Eng. & Systems 2023-07-20 Itsuki Iwata , Takuya Sakamoto , Takuya Matsumoto , Satoshi Hirata

Non-contact vital sign detection is a required application nowadays in many fields as patient monitoring and static human detection. Within the last decade, radar has been introduced as a smart and convenient sensor for non-contact…

Signal Processing · Electrical Eng. & Systems 2017-11-28 Sherif Abdulatif , Fady Aziz , Pelin Altiner , Bernhard Kleiner , Urs Schneider

We propose a method to measure the respiration of a rhesus monkey using a millimeter-wave radar system with an antenna array. Unlike humans, small animals are generally restless and hyperactive in nature, and suppression of their body…

Signal Processing · Electrical Eng. & Systems 2023-06-30 Takuya Sakamoto , Daisuke Sanematsu , Itsuki Iwata , Toshiki Minami , Masako Myowa

This study proposes a multi-radar system for non-contact physiological sensing across arbitrary body orientations. In integrating signals obtained from different radar viewpoints, we adopt a multivariate variational mode decomposition…

Signal Processing · Electrical Eng. & Systems 2025-10-14 Kimitaka Sumi , Takuya Sakamoto

This study proposes an accurate method to estimate human body orientation using a millimeter-wave radar system. Body displacement is measured from the phase of the radar echo, which is analyzed to obtain features associated with the…

Signal Processing · Electrical Eng. & Systems 2023-07-19 Wenxu Sun , Shunsuke Iwata , Yuji Tanaka , Takuya Sakamoto

This work presents the use of frequency modulated continuous wave (FMCW) radar technology combined with a machine learning model to differentiate between normal and abnormal breath rates. The proposed system non-contactly collects data…

Machine Learning · Computer Science 2024-07-19 Mohammad Wassaf Ali , Ayushi Gupta , Mujeev Khan , Mohd Wajid

An experimental testbed has been constructed to assess the capabilities of Light-Wave Sensing, a promising new vitals monitoring approach. A Light-Wave Sensing apparatus utilizes infrared radiation to contactlessly monitor the subtle…

Medical Physics · Physics 2023-11-08 Brenden Martin , Md Zobaer Islam , Carly Gotcher , Tyler Martinez , Sabit Ekin , John F. O'Hara

Recent research has highlighted the detection of human respiration rate using commodity WiFi devices. Nevertheless, these devices encounter challenges in accurately discerning human respiration amidst the prevailing human motion…

Signal Processing · Electrical Eng. & Systems 2024-01-08 Kehan Wu , Renqi Chen , Haiyu Wang , Chenqing Ji , Jiayuan Zhu , Guang Wu

Estimating human vital signs in a contactless non-invasive method using radar provides a convenient method in the medical field to conduct several health checkups easily and quickly. In addition to monitoring while sitting and sleeping, the…

Signal Processing · Electrical Eng. & Systems 2022-06-14 Tassneem Helal , Fady Aziz , Omar Metwally , Marco F. Huber , Dominik Alscher , Christoph Wasser , Urs Schneider

We developed a noncontact measurement system for monitoring the respiration of multiple people using millimeter-wave array radar. To separate the radar echoes of multiple people, conventional techniques cluster the radar echoes in the time,…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Takato Koda , Takuya Sakamoto , Shigeaki Okumura , Hirofumi Taki

This study proposes a data fusion method for multiradar systems to enable measurement of the respiration of multiple people located at arbitrary positions. Using the proposed method, the individual respiration rates of multiple people can…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Shunsuke Iwata , Takato Koda , Takuya Sakamoto

This study presents a comprehensive experimental assessment of a low-cost frequency-modulated continuous-wave (FMCW) multiple-input multiple-output (MIMO) radar for non-contact vital sign monitoring, focusing on respiratory rate (RR) and…

Emerging Technologies · Computer Science 2026-03-11 Silvia Mura , Davide Scazzoli , Lorenzo Fineschi , Maurizio Magarini

Continuous monitoring of human vital signs using non-contact mmWave radars is attractive due to their ability to penetrate garments and operate under different lighting conditions. Unfortunately, most prior research requires subjects to…

Signal Processing · Electrical Eng. & Systems 2023-03-27 Bo Zhang , Boyu Jiang , Rong Zheng , Xiaoping Zhang , Jun Li , Qiang Xu

This paper investigates the application of millimeter-wave (mmWave) radar for the estimation of human vital signs. Aiming to obtain more accurate frequency estimation for periodic signals of respiration and heartbeat, we propose the…

Signal Processing · Electrical Eng. & Systems 2024-08-06 Chieh-Hsun Hsieh , Tung-Lin Tsai , Po-Hsuan Tseng

Non-contact vital sign monitoring has many advantages over conventional methods in being comfortable, unobtrusive and without any risk of spreading infection. The use of millimeter-wave (mmWave) radars is one of the most promising…

Signal Processing · Electrical Eng. & Systems 2023-09-18 Steven Marty , Federico Pantanella , Andrea Ronco , Kanika Dheman , Michele Magno

This study proposes a method for radar-based identification of individuals using a combination of their respiratory and heartbeat features. In the proposed method, the target individual's respiratory features are extracted using the…

Signal Processing · Electrical Eng. & Systems 2024-12-18 Haruto Kobayashi , Yuji Tanaka , Takuya Sakamoto

This study proposes a method for simulating signals received by frequency-modulated continuous-wave radar during respiratory monitoring, using human body geometry and displacement data acquired via a depth camera. Unlike previous studies…

Signal Processing · Electrical Eng. & Systems 2025-07-21 Kimitaka Sumi , Takuya Sakamoto

Heart rate recovery (HRR) within the initial minute following exercise is a widely utilized metric for assessing cardiac autonomic function in individuals and predicting mortality risk in patients with cardiovascular disease. However,…

Signal Processing · Electrical Eng. & Systems 2025-03-31 Ziheng Mao , Yuan He , Jia Zhang , Yimiao Sun , Yadong Xie , Xiuzhen Guo
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