Automated Diagnosis-Assisting Medical Devices
a medical device and automatic technology, applied in the field of automatic diagnosis-assistance medical devices, can solve problems such as noise or other artifacts, and achieve the effects of enhancing existing electronic stethoscopes, not hindering devices from performing their tasks, and enhancing the accuracy of results
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[0036]Referring to FIG. 1, a diagrammatic illustrates a rate / frequency estimation algorithm in accordance with one aspect of the present disclosure. At 101, a quasi-periodic input signal, such as an acoustical signal indicative of a physiological rhythm (e.g., heartbeat, respiration), is loaded. At 102, a DC component is removed from the input signal, s, according to sDCrem=s−mean(s), where
mean(x)=1N∑n=1Nx(n)
is the mean operator, sDCrem is the input signal having its DC component removed, and N is the length of x.
[0037]At 103, filtering of the input signal is applied to produce a pre-processed signal that emphasizes the quasi-periodic patterns of the signal for rate estimation (e.g., the heart sound S1 and S2 in a phonocardiogram). The filtering is performed with a standard band-pass filter (high-pass filtering and / or low-pass filtering) or with wavelet filtering. In accordance with wavelet filtering, the signal is decomposed into detail and approximation coefficients, and, as such,...
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