Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a new method for R wave's locations using the multiscale wavelet analysis, that is based on Mallat's and Hwang's approach for singularity detection via local maxima of the wavelet coefficients signals. Using a first derivative Gaussian function as prototype wavelet,  apply the pointwise product of the wavelet coefficients (PWCs) over some successive scales, in order to enhance the peak amplitude of the modulus maxima line and to reduce noise. The R wave corresponds to two modulus maximum lines with opposite signs (min-max) of multi-scale product. The proposed algorithm does not include regularity analysis but only amplitude-based criteria.  evaluated the algorithm on two manually annotated databases, such as MIT-BIH Arrhythmia and QT.
['Rym Besrour', 'Zied Lachiri', 'Noureddine Ellouze']
I am writing a research paper on a idea Using multiscale product for ECG characterization
[{"from": "human", "value": "I am writing a research paper on a idea Using multiscale product for ECG characterization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a new method for R wave's locations using the multiscale wavelet analysis, that is based on Mallat's and Hwang's approach for singularity detection via local maxima of the wavelet coefficients signals. Using a first derivative Gaussian function as prototype wavelet,  apply the pointwise product of the wavelet coefficients (PWCs) over some successive scales, in order to enhance the peak amplitude of the modulus maxima line and to reduce noise. The R wave corresponds to two modulus maximum lines with opposite signs (min-max) of multi-scale product. The proposed algorithm does not include regularity analysis but only amplitude-based criteria.  evaluated the algorithm on two manually annotated databases, such as MIT-BIH Arrhythmia and QT."}]