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Performance evaluation of implantable artificial organs by sound spectrum analysis
1Department of Biomedical Engineering, College of Medicine, Dan Kook University, ChungNam, Korea.
ASAIO Journal (American Society for Artificial Internal Organs : 1992)
|July 1, 1994
Summary
This study introduces a non-invasive sound spectrum analysis to detect artificial organ malfunctions. The method effectively identifies mechanical failures in devices like the total artificial heart (TAH) using acoustic signals.
Area of Science:
- Biomedical Engineering
- Acoustic Signal Processing
- Implantable Medical Devices
Background:
- Implantable artificial organs, such as electromechanical total artificial hearts (TAH) and prosthetic valves, require reliable methods for pre-detecting malfunctions.
- Current diagnostic methods may involve invasive procedures, posing risks and discomfort to patients.
- Non-invasive monitoring techniques are crucial for early detection and management of device failures.
Purpose of the Study:
- To propose and validate a sound spectrum analyzing method for non-invasive pre-detection of malfunctions in implantable artificial organs.
- To develop a specialized sound detecting device and employ advanced signal processing algorithms for accurate acoustic analysis.
Main Methods:
- Development of a high-sensitivity condenser microphone system with a frequency range exceeding 13 kHz.
- Acquisition and storage of acoustic signals sampled at up to 100 kHz using an IBM PC.
- Application of an adaptive least-mean square algorithm for environmental noise cancellation.
- Utilization of the periodogram spectral estimating method to obtain sound spectra.
- Experimental validation using an electromechanical TAH and animal tissue studies.
Main Results:
- Adaptive noise cancellation significantly improved signal quality, yielding noise-free acoustic data.
- Harmonics from the mechanical components of a pendulum-type electromechanical TAH were identified around 1.3 kHz.
- Distinct spectral changes in power spectral densities were observed between normal and failed TAH conditions.
- A spectral shift towards higher harmonics correlated with increased heart rate.
- Tissue sound propagation properties were successfully investigated through animal experiments.
Conclusions:
- The proposed sound spectrum analysis method is effective for non-invasive detection of mechanical failures in implantable artificial organs.
- Acoustic monitoring offers a promising alternative to invasive diagnostic procedures for artificial organ health assessment.
- Further research can refine this technique for broader clinical application in monitoring various implantable devices.