Research Progress in Millimeter Wave Radar-Based non-contact Sleep Monitoring - A Review

Wang, Peng; Luo, Yunlong; Shi, Gege; Huang, Suying; Miao, Miao; Qi, Yihong; Ma, Jianhua

doi:10.1109/isape54070.2021.9753424

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…mm-wave radars can not only monitor and measure products in traditional industries, but they can also complete the perception of obstacles in autonomous driving. In the context of biomedical applications, MIMO mm-wave radars enable real-time detection of vital signs including fall detection [55], sleep monitoring [56], and hand gesture recognition [57]. In addition to observing conventional vital signs, mm-wave radars can also be employed as an aid for special populations.…”

Section: Mm-wave Radarsmentioning

confidence: 99%

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Liu

Shen

Fan

et al. 2022

Sensors

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Radar is widely employed in many applications, especially in autonomous driving. At present, radars are only designed as simple data collectors, and they are unable to meet new requirements for real-time and intelligent information processing as environmental complexity increases. It is inevitable that smart radar systems will need to be developed to deal with these challenges and digital twins in cyber-physical systems (CPS) have proven to be effective tools in many aspects. However, human involvement is closely related to radar technology and plays an important role in the operation and management of radars; thus, digital twins’ radars in CPS are insufficient to realize smart radar systems due to the inadequate consideration of human factors. ACP-based parallel intelligence in cyber-physical-social systems (CPSS) is used to construct a novel framework for smart radars, called Parallel Radars. A Parallel Radar consists of three main parts: a Descriptive Radar for constructing artificial radar systems in cyberspace, a Predictive Radar for conducting computational experiments with artificial systems, and a Prescriptive Radar for providing prescriptive control to both physical and artificial radars to complete parallel execution. To connect silos of data and protect data privacy, federated radars are proposed. Additionally, taking mines as an example, the application of Parallel Radars in autonomous driving is discussed in detail, and various experiments have been conducted to demonstrate the effectiveness of Parallel Radars.

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Section: Mm-wave Radarsmentioning

confidence: 99%

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Liu

Shen

Fan

et al. 2022

Sensors

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“…These factors make PSG unsuitable for a long-term home sleep monitoring. In recent years, more comfortable sleep monitoring technologies have emerged, including accelerometer sensor-based 3 , acoustic sensor-based 4 , pressure sensor-based 5 , and radar sensor-based,etc [6][7][8][9][10][11][12][13] . Among these technologies, radar-based sleep staging holds immense significance owing to its capacity to provide comprehensive data and its advantages of being non-intrusive, noncooperative, and capable of continuous operation in diverse environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Sleep stage estimation method based on state transition using millimeter-wave radar

Lu,

Yang,

Zhou

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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Due to the excellent advantages of the radar sensor, it is considered to be one of the most potential technologies for the sleep monitoring. In this paper, we propose a sleep stage estimation method based on state transition using frequencymodulated continuous wave (FMCW) milli-meter wave (MMW) radar. The core of the proposed method is to utilize the physiological characteristics of different state transitions during sleep to achieve state transitions for different human targets. Firstly, we conduct signal preprocessing and target detection to determine the presence of the target. Secondly, we extract features from the respiratory rate and body movement to determine the start of sleep and the end time of sleep. Finally, we employ reference thresholds to determine the state transition of sleep for sleep staging. A total of more than 138 nights of data from 10 participants were tested and compared with the Mi Band 6, Mi Band 7, and Huawei Band 6. The results demonstrate the effectiveness of the proposed method.

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“…Thanks to the demand for sensing remotely, the radar sensor has received attention and started entering the industry market. In the healthcare industry, using the technologies based on monitoring vital signs and movements, radar sensors have been applied to fall detection [ 10 , 11 , 12 ], vital sign monitoring, and sleep monitoring [ 13 , 14 , 15 , 16 , 17 ]. As well, beamforming imaging radar is applied to cancer diagnoses [ 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar

Lim¹,

Jang²,

Song³

et al. 2022

Sensors

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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 generated at different ranges and angles from the patient’s position. The experiment was performed for a patient lying on a surgical bed with or without surgeon. Comparing a continuous-wave (CW) Doppler radar, the FMCW radar with beamforming improved almost 22 dB of signal-to-interference and noise ratio (SINR) for vital signals. More than 90% accuracy of monitoring respiration and heartrates was achieved even though the surgeon was located next to the patient as an interferer. It was analyzed using a proposed vital signal model included in the radar IF equation.

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Research Progress in Millimeter Wave Radar-Based non-contact Sleep Monitoring - A Review

Cited by 9 publications

References 12 publications

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Sleep stage estimation method based on state transition using millimeter-wave radar

Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar

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