SPSC Lab

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In 2000, the Signal Processing and Speech Communication Laboratory (SPSC Lab) of Graz University of Technology (TU Graz) was founded as a research and education center in nonlinear signal processing and computational intelligence, algorithm engineering, as well as circuits & systems modeling and design. It covers applications in wireless communications, speech/audio communication, and telecommunications.

If you want to learn more about Signal Processing, click: "What is Signal Processing?"

The Research of SPSC Lab addresses fundamental and applied research problems in five scientific areas:

 

Result of the Month December 2018

Previous results of the month

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Early diagnosis of idiopathic pulmonary fibrosis (IPF) is of increasing importance, due to recent success to slow down the disease progression. Auscultation is a helpful mean for early diagnosis of IPF. Auscultatory findings for IPF are fine (or velcro) crackles during inspiration, which are heard over affected areas.

We present a computer-aided approach for the diagnosis of IPF. In particular, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing phase events (inspiration/expiration). Therefore, we propose an event detection approach with spectral features and bidirectional gated recurrent neural networks (BiGRNNs). In our experiments, we use multi-channel lung sound recordings from lung-healthy subjects and patients diagnosed with idiopathic pulmonary fibrosis, collected within a clinical trial. We achieve an event-based F-score of F1≈86% for breathing phase events and F1≈72% for crackles. The proposed method shows robustness regarding the contamination of the lung sound recordings with noise, bowel and heart sounds.