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Optimized Acoustic Phantom Design for Characterizing Body Sound Sensors.

Valerie Rennoll1, Ian McLane1, Mounya Elhilali1

  • 1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Sensors (Basel, Switzerland)
|December 11, 2022
PubMed
Summary
This summary is machine-generated.

Developing a standardized acoustic phantom is crucial for accurately characterizing body sound devices. A gelatin-based phantom with a loudspeaker offers superior, consistent frequency response for improved lung and heart sound device measurements.

Keywords:
acoustic phantomfrequency responsesensor characterizationstethoscope

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Area of Science:

  • Biomedical Engineering
  • Acoustics
  • Medical Device Characterization

Background:

  • Devices for capturing body sounds (e.g., lung, heart) are vital for health monitoring.
  • Acoustic phantoms are used for repeatable device testing, mimicking skin coupling.
  • Lack of standardized phantom designs hinders device comparison and characterization.

Purpose of the Study:

  • To investigate how acoustic phantom design elements impact acoustical characteristics.
  • To compare frequency responses of various phantom constructions.
  • To identify an optimal acoustic phantom design for consistent device measurements.

Main Methods:

  • Employed a design of experiments approach to compare phantom constructions.
  • Evaluated phantoms with different driver types (loudspeaker vs. sound exciter) and support structures (gelatin/grid vs. plate).
  • Assessed device measurement consistency on optimal versus non-optimal phantoms under varying conditions (weight, position).

Main Results:

  • An acoustic phantom using a loudspeaker and a gelatin layer on a grid exhibited a flatter, more uniform frequency response.
  • This optimal phantom design outperformed other constructions, including those with sound exciters and plate supports.
  • Devices measured on the optimal phantom showed more consistent results across different weights and positions compared to a non-optimal phantom.

Conclusions:

  • Acoustic phantom design significantly influences the acoustical characteristics and device measurement reliability.
  • A loudspeaker-driven gelatin phantom offers a superior design for accurate characterization of body sound devices.
  • Statistical models provide insights for optimizing phantom design, leading to improved medical device characterization.