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Related Experiment Video

Updated: Jun 14, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

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Noncontact Breathing Pattern Monitoring Using a 120 GHz Dual Radar System with Motion Interference Suppression.

Zihan Yang¹, Yinzhe Liu¹, Hao Yang¹

¹School of Electronics and Information Engineering, Beihang University, Beijing 100191, China.

|August 27, 2025

Summary

This summary is machine-generated.

This study introduces a dual radar system for noncontact respiratory monitoring, accurately measuring chest and abdominal movements. The system effectively suppresses motion interference, aiding in diagnosing respiratory disorders and enabling remote patient care.

Keywords:

apnea detection breathing pattern dual radar motion interference narrow beam antenna thoracoabdominal asynchrony measurement

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Area of Science:

Biomedical Engineering
Medical Devices
Respiratory Physiology

Background:

Continuous respiratory monitoring is crucial for healthcare.
Contact devices have limitations like discomfort and restricted use.
Noncontact radar offers potential but struggles with complex breathing patterns and motion artifacts.

Purpose of the Study:

To develop a noncontact dual radar system for precise respiratory monitoring.
To separately measure chest and abdominal movements.
To mitigate motion interference for improved accuracy.

Main Methods:

A dual radar system with narrow-beam antennas and custom signals was employed.
Adaptive dynamic time warping (DTW) algorithm was utilized to suppress motion interference.
Respiratory parameters were extracted from reconstructed chest and abdominal waveforms.

Main Results:

High correlation (0.92) between radar and respiratory belt signals for chest and abdomen.
Accurate respiratory rate (RMSE: 0.80 bpm) and thoracoabdominal phase angle (MAE: 3.4°) measurements.
Robust performance demonstrated in 35 healthy subjects and 3 patients with respiratory conditions.

Conclusions:

The dual radar system enables accurate, noncontact, prolonged respiratory monitoring.
It can assess chest-abdominal asynchrony and detect apnea.
Promising for respiratory disorder detection and home healthcare applications.