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Related Experiment Video

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Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
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Signal Quality Estimation of Impedance Pneumography Signals in the NICU Using a Frequency-based Approach.

Daniel J Radeschi, Eva Senechal, Wissam Shalish

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary

    Wireless sensors offer improved NICU infant monitoring. A new algorithm quantifies signal quality for reliable wireless respiratory rate (RR) measurements, enhancing infant care and safety.

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    Area of Science:

    • Biomedical Engineering
    • Neonatal Medicine
    • Signal Processing

    Background:

    • Wired vital sign monitoring in NICUs presents challenges, including interference with infant care and risks of skin damage.
    • Wireless wearable sensors are being explored to overcome limitations of traditional wired monitoring systems.
    • Accurate respiratory rate (RR) monitoring is crucial for neonates, but impedance pneumography can be affected by motion artifacts.

    Purpose of the Study:

    • To evaluate the feasibility, accuracy, and safety of wireless vital sign monitoring in the NICU.
    • To develop and validate an algorithm for assessing the signal quality of wireless impedance-based RR measurements.
    • To improve the reliability of wireless respiratory rate monitoring in neonates.

    Main Methods:

    • Simultaneous acquisition of vital signs using wired standard monitors and a novel wireless wearable sensor (ANNE Arc).
    • Development of a signal-to-noise ratio (SNR) estimation algorithm using Fast Fourier Transform (FFT) for wired and wireless impedance recordings.
    • Analysis of the relationship between SNR and the accuracy (Mean Absolute Error, Margin of Error) of wireless RR measurements compared to wired reference.

    Main Results:

    • The wireless sensor exhibited a lower median SNR compared to the wired device.
    • Agreement between wireless and wired RR measurements improved significantly during periods of high SNR for both systems.
    • Specific SNR thresholds (wired ≥ 4 dB, wireless ≥ 10 dB) were identified for achieving acceptable RR accuracy (MAE ≤ 10 bpm, MoE ≤ ±25 bpm).

    Conclusions:

    • The developed SNR algorithm effectively quantifies the signal quality of thoracic impedance measurements in neonates.
    • Signal-to-noise ratio can be used to assess the reliability of wireless respiratory rate values obtained from neonates.
    • This approach enhances confidence in wireless monitoring data, potentially improving neonatal care and safety.