Key result
Short-time First Fourier Transforms (SFFT) enabled the detection of the structure inside the QRS complex without signal averaging, identifying 3 groups of peak electric potential in healthy subjects.
Why the study?
A new frequency domain method was needed to detect minute electric potentials inside the QRS complex without signal averaging.
Cross-Sectional (n=10)
No
A new frequency domain method using short-time First Fourier Transforms (SFFT) and oversampling successfully detects minute high-frequency electric potentials within the QRS complex without requiring signal averaging.
To detect the minute electric potential inside the QRS complex, a new frequency domain method was designed using short-time First Fourier Transforms (SFFT) and high-frequency sampling (oversampling). SFFT improved the frequency resolution by oversampling that was applied to this analysis. The electric potential data of 15,000 points received weighted, running average processing and was subtracted from the original waveform to reduce the low-frequency component. The data in a segment of 160 ms, including QRS, was processed by frequency analysis with the SFFT computation routine. The ECG of healthy individuals was analyzed by this method and its usefulness evaluated. The processing waves of the X-axis, Y-axis, and Z-axis of a representative normal subject were formed into 3 groups of peak electric potential. SFFT enabled the detection of the structure inside the QRS complex without signal averaging, and is considered capable of evaluating the process of excitement inside the QRS complex in the various heart diseases.
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Hara et al. (1999) conducted a cross-sectional in Healthy (n=10). Short-time First Fourier Transforms (SFFT) with high-frequency sampling was evaluated on Detection of minute electric potential inside the QRS complex. Short-time First Fourier Transforms (SFFT) enabled the detection of the structure inside the QRS complex without signal averaging, identifying 3 groups of peak electric potential in healthy subjects.
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