ArticleSensors (Basel, Switzerland)2021
Non-Contact Monitoring of Human Vital Signs Using FMCW Millimeter Wave Radar in the 120 GHz Band.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology.Sensors (Basel, Switzerland) · 2024Pooled it
- Presence-gated VOC sensing for urban search and rescue applications.Scientific reports · 2026Article
- Design and Experimental Validation of a 12 GHz High-Gain 4 × 4 Patch Antenna Array for S21 Phase-Based Vital Signs Monitoring.Sensors (Basel, Switzerland) · 2026Article
- A Novel FMCW Radar Scheme with Millimeter Motion Detection Capabilities Suitable for Cardio-Respiratory Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning.Scientific reports · 2025Article
- Optimization of Video Heart Rate Detection Based on Improved SSA Algorithm.Sensors (Basel, Switzerland) · 2025Article
- Evaluation of the impact of printing and embroidery parameters in the process of obtaining utility comfort sensors used in protective clothing dedicated to premature babies.Computational and structural biotechnology journal · 2025Article
- Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments.Journal of multidisciplinary healthcare · 2025Article
- Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study.IEEE journal of translational engineering in health and medicine · 2025Article
- Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar.Sensors (Basel, Switzerland) · 2024Article
- A Real-Time Evaluation Algorithm for Noncontact Heart Rate Variability Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Few-Shot User-Adaptable Radar-Based Breath Signal Sensing.Sensors (Basel, Switzerland) · 2023Article
- A novel target state detection method for accurate cardiopulmonary signal extraction based on FMCW radar signals.Frontiers in physiology · 2023Article
- Contactless Simultaneous Breathing and Heart Rate Detections in Physical Activity Using IR-UWB Radars.Sensors (Basel, Switzerland) · 2021Article
- Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks.Journal of imaging · 2021Article
- High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 subsequent signal processing. In order to solve the problem that the accuracy of heart rate is easy to be interfered with by respiratory harmonics, an adaptive notch filter was applied to filter respiratory harmonics. Meanwhile, the heart rate obtained by fast Fourier transform (FFT) was modified by using the ratio of adjacent elements, which helped to improve the accuracy of heart rate detection. The experimental results show that when the monitoring system is 1 m away from the human body, the probability of respiratory rate detection error within ±2 times for eight volunteers can reach 90.48%, and the detection accuracy of the heart rate can reach 90.54%. Finally, short-term heart rate measurement was realized by means of improved empirical mode decomposition and fast independent component analysis algorithm.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.