In this study the use of Ramanujan transform (RT) for the assessment of T-Wave alternans (TWA) is investigated. The RT projects a signal on particular basis functions constituted by Ramanujan sums (RS). The resulting components highlight the presence of 1/q resonances, being q an integer number. Thus, the transform is suitable for detecting the typical 1/2 pattern of TWA. After alignment, the successive T-waves are filtered using the Amplitude Adjusted T-Average method. For each point of the obtained waveforms, the series of corresponding T amplitudes is transformed using RT. Next, the quantification of TWA is obtained through the RT coefficients. Performances of the novel approach are evaluated on the Computers in Cardiology Challenge dataset 2008. The final score was encouraging (0.641), thus evidencing that RT might be a valuable tool for the detection of TWA.
Analysis of T-wave alternans using the Ramanujan transform / L.T. Mainardi, M. Bertinelli, R. Sassi - In: Computers in Cardiology, 2008[s.l] : IEEE, 2008. - ISBN 9781424437061. - pp. 605-608 (( Intervento presentato al 35. convegno Computers in Cardiology tenutosi a Bologna nel 2008 [10.1109/CIC.2008.4749114].
Analysis of T-wave alternans using the Ramanujan transform
R. SassiUltimo
2008
Abstract
In this study the use of Ramanujan transform (RT) for the assessment of T-Wave alternans (TWA) is investigated. The RT projects a signal on particular basis functions constituted by Ramanujan sums (RS). The resulting components highlight the presence of 1/q resonances, being q an integer number. Thus, the transform is suitable for detecting the typical 1/2 pattern of TWA. After alignment, the successive T-waves are filtered using the Amplitude Adjusted T-Average method. For each point of the obtained waveforms, the series of corresponding T amplitudes is transformed using RT. Next, the quantification of TWA is obtained through the RT coefficients. Performances of the novel approach are evaluated on the Computers in Cardiology Challenge dataset 2008. The final score was encouraging (0.641), thus evidencing that RT might be a valuable tool for the detection of TWA.File | Dimensione | Formato | |
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