Enhancing Auscultation Capability in Spacecraft

In this research, we developed an adaptive filtering system for enhancing auscultation performance in noisy environments such as spacecraft and International Space Station (ISS). The system uses a stethoscope, a microphone, and an adaptive filter. Four filtering algorithms (least mean square (LMS), normalized LMS (NLMS), recursive least square (RLS), and our patented algorithm known as Frequency-domain Minimum Square Error with length N and Signal Detection (FMSENSD)) were implemented and compared. Extensive experiments using actual data collected by several commercial stethoscopes clearly demonstrated the performance of the system under noisy conditions up to 79 dBA.

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