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How do I design a vital signs detection radar for non-contact monitoring of breathing and heart rate?

Designing a vital signs detection radar for non-contact monitoring of breathing and heart rate uses a CW or FMCW radar to detect the tiny chest wall displacements caused by respiration (chest displacement approximately 4-12 mm) and heartbeat (chest displacement approximately 0.1-0.5 mm). The radar detects these motions through the phase modulation of the reflected signal: as the chest wall moves toward and away from the radar, the round-trip path length changes, causing a phase shift in the reflected signal: delta_phi = 4 × pi × delta_d / lambda, where delta_d is the chest displacement and lambda is the radar wavelength. For respiration (delta_d = 5 mm) at 24 GHz (lambda = 12.5 mm): delta_phi = 4 × pi × 5/12.5 = 5.03 radians (easily detectable). For heartbeat (delta_d = 0.2 mm) at 24 GHz: delta_phi = 0.2 radians (much smaller but still detectable with advanced processing). The radar operates as follows: the CW or FMCW signal is transmitted and reflected from the subject's chest. The reflected signal is demodulated using I/Q (quadrature) detection to extract the phase variation over time. The phase signal contains: a slow component (0.15-0.5 Hz) from respiration, and a faster component (0.8-2 Hz) from the heartbeat. Bandpass filtering separates the breathing signal from the heartbeat signal. The breathing rate and heart rate are extracted from the filtered signals using peak counting, FFT, or autocorrelation.
Category: Radar Systems
Updated: April 2026
Product Tie-In: Radar Components, T/R Modules

Vital Signs Detection Radar

Vital signs radar enables contactless, continuous monitoring useful for: sleep monitoring (detecting apnea events), patient monitoring in hospitals (no wires or electrodes), elderly care (monitoring breathing without wearable devices), and search and rescue (detecting breathing of trapped victims).

ParameterPulsedCW/FMCWPhased Array
Range Resolutionc/(2B)c/(2B)c/(2B)
Velocity ResolutionPRF dependentDirect from DopplerCoherent processing
Peak PowerHigh (kW-MW)Low (mW-W)Moderate per element
ComplexityModerateLowHigh
Typical ApplicationSurveillance, weatherAltimeter, automotiveTracking, multifunction

Waveform Design

When evaluating design a vital signs detection radar for non-contact monitoring of breathing and heart rate?, engineers must account for the specific requirements of their target application. The optimal choice depends on the frequency range, power level, environmental conditions, and cost constraints of the overall system design.

Detection Performance

When evaluating design a vital signs detection radar for non-contact monitoring of breathing and heart rate?, engineers must account for the specific requirements of their target application. The optimal choice depends on the frequency range, power level, environmental conditions, and cost constraints of the overall system design.

  • Performance verification: confirm specifications against the application requirements before finalizing the design
  • Environmental factors: temperature range, humidity, and vibration affect long-term reliability and parameter drift
  • Cost vs. performance: evaluate whether the application demands premium components or standard commercial grades
  1. Interface compatibility: verify impedance, connector type, and mechanical form factor match the system architecture

Clutter and Interference

When evaluating design a vital signs detection radar for non-contact monitoring of breathing and heart rate?, engineers must account for the specific requirements of their target application. The optimal choice depends on the frequency range, power level, environmental conditions, and cost constraints of the overall system design.

Common Questions

Frequently Asked Questions

What accuracy is achievable?

Breathing rate: ±1 breath per minute (comparable to a clinical capnograph). Heart rate: ±2-5 beats per minute under controlled conditions (subject stationary, single subject). Under less controlled conditions (movement, multiple subjects): accuracy degrades. State-of-the-art research: heart rate accuracy within ±1 bpm using advanced signal processing (DACM, adaptive clutter removal, and machine learning). The heartbeat signal is 20-30 dB weaker than the breathing signal, making it the primary accuracy challenge.

Can I use an off-the-shelf radar module?

Yes: several commercial radar modules support vital signs detection: Infineon BGT24MTR12 (24 GHz): widely used in research and prototyping. Low cost ($50-100 for eval board). TI IWR1443 / IWR6843 (77 GHz / 60 GHz): FMCW radar with built-in DSP. TI provides vital signs detection reference designs and software. Acconeer A111 (60 GHz pulsed). SiRadar: dedicated vital signs radar modules. Google Soli: 60 GHz radar chip designed for gesture and vital signs sensing (used in Pixel 4 phone and Nest Hub).

What about multiple subjects?

Detecting vital signs from multiple subjects in the same room: CW radar: cannot distinguish between subjects (all reflections are summed). Only works for a single, dominant subject. FMCW or UWB radar: can separate subjects by range (if they are at different distances from the radar). Each subject appears at a different range bin, and the vital signs are extracted from each bin independently. Beamforming: using a multi-channel radar with beamforming, subjects can be separated by angle as well as range. This enables tracking of 2-5+ subjects simultaneously.

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