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Noncontact Multi-Point Vital Sign Monitoring with mmWave MIMO Radar

Wei Ren, Jiannong Cao, Huansheng Yi, Kaiyue Hou, Miaoyang Hu, Jianqi Wang, Fugui Qi

TL;DR

Noncontact, multipoint vital sign monitoring technique using multiple-input-multiple-output (MIMO) radar, focused on physically differentiating and precisely measuring chest-wall surface vibrations at multiple points induced by cardiopulmonary mechanical activity is developed.

Abstract

Multi-point vital sign monitoring is essential for providing detailed insights into physiological changes. Traditional single-sensor approaches are inadequate for capturing multi-point vibrations. Existing contact-based solutions, while addressing this need, can cause discomfort and skin allergies, whereas noncontact optical and acoustic methods are highly susceptible to light interference and environmental noise. In this paper, we aim to develop a non-contact, multi-point vital sign monitoring technique using MIMO radar, focused on physically differentiating and precisely measuring chest-wall surface vibrations at multiple points induced by cardiopulmonary mechanical activity. The primary challenges in developing such a technique involve developing algorithms to extract and separate entangled signals, as well as establishing a reliable method for validating detection accuracy. To address these limitations, we introduce MultiVital, a wireless system that leverages mmWave Multiple-input Multiple-output (MIMO) radar for synchronous multi-point vital sign monitoring. It integrates two reference modalities: five-channel seismocardiography (SCG) sensors and a one-channel electrocardiogram (ECG) electrode, enabling comprehensive radar-based research and performance validation across multiple physiological metrics. Additionally, we have developed a multi-modal signal processing framework, consisting of a radar signal processing module, an SCG calibration module, and a spatial alignment scheme. To evaluate the radar signal processing module, we conducted mathematical derivation and simulation. The experimental results indicate that the noncontact MultiVital system achieves multi-point synchronous monitoring with high precision, highly consistent with the results from reference modalities.

Noncontact Multi-Point Vital Sign Monitoring with mmWave MIMO Radar

TL;DR

Noncontact, multipoint vital sign monitoring technique using multiple-input-multiple-output (MIMO) radar, focused on physically differentiating and precisely measuring chest-wall surface vibrations at multiple points induced by cardiopulmonary mechanical activity is developed.

Abstract

Multi-point vital sign monitoring is essential for providing detailed insights into physiological changes. Traditional single-sensor approaches are inadequate for capturing multi-point vibrations. Existing contact-based solutions, while addressing this need, can cause discomfort and skin allergies, whereas noncontact optical and acoustic methods are highly susceptible to light interference and environmental noise. In this paper, we aim to develop a non-contact, multi-point vital sign monitoring technique using MIMO radar, focused on physically differentiating and precisely measuring chest-wall surface vibrations at multiple points induced by cardiopulmonary mechanical activity. The primary challenges in developing such a technique involve developing algorithms to extract and separate entangled signals, as well as establishing a reliable method for validating detection accuracy. To address these limitations, we introduce MultiVital, a wireless system that leverages mmWave Multiple-input Multiple-output (MIMO) radar for synchronous multi-point vital sign monitoring. It integrates two reference modalities: five-channel seismocardiography (SCG) sensors and a one-channel electrocardiogram (ECG) electrode, enabling comprehensive radar-based research and performance validation across multiple physiological metrics. Additionally, we have developed a multi-modal signal processing framework, consisting of a radar signal processing module, an SCG calibration module, and a spatial alignment scheme. To evaluate the radar signal processing module, we conducted mathematical derivation and simulation. The experimental results indicate that the noncontact MultiVital system achieves multi-point synchronous monitoring with high precision, highly consistent with the results from reference modalities.

Paper Structure

This paper contains 17 sections, 23 equations, 18 figures, 5 tables.

Figures (18)

  • Figure 1: Research scenario of multi-point vital sign monitoring with mmWave MIMO radar. The MIMO radar system is placed in front of the human chest wall and used to estimate the motion of the five scattering points of interest, i.e., point A, P, T, E, and M.
  • Figure 2: The MultiVital system integrates an mmWave MIMO radar system along with two reference systems including five-channel SCG sensors and one-channel ECG electrodes.
  • Figure 3: Antenna array positions TI_MMWCAS_RF_EVM.
  • Figure 4: Radar system diagram.
  • Figure 5: The overall signal processing framework of MultiVital system.
  • ...and 13 more figures