Systolic time intervals (STI) have significant diagnostic and prognostic value to assess the global cardiac function. Presently, STIs are regarded as a promising tool for long-term follow-up of patients with chronic cardiovascular diseases. Heart sound has proven to be a valuable approach for STI estimation, in particular for the Pre-Ejection Period (PEP). However, since the optimal auscultation site varies from individual to individual, as well as with the position of the body, its application in single-channel and fixed auscultation site setups poses practical difficulties. Hence, we extend our previous work on PEP estimation to a multi-channel sound acquisition setup, where signal redundancy is exploited. A channel selection method is proposed and the best channel is selected for PEP estimation. As a preliminary study, the devised algorithms were evaluated with respect to echocardiography reference on a set of 236 heartbeats collected from 8 healthy subjects in two sound auscultation sites. The channel selection approach led to 8.4% estimation error decrease, in comparison to a single-channel approach. Current results support our assumption that a multi-channel audio-based strategy can be applied to assess STI in personal health application scenarios.
Algorithms Auscultation