2019
DOI: 10.35940/ijeat.a1854.109119
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Nonlinear Processing of Wrist Pulse Signals to Distinguish Diabetic and Non-Diabetic Subjects

Abstract: In pulse diagnosis, the pulse signals obtained at wrist have been used for analysis of certain diseases in ancient systems of medicine in which the practitioner feels the pulse of the subject by placing his three fingers on the subject’s wrist at three distinct radial pulse point locations. The preliminary studies show that there are many conventional linear techniques applied to analyze the wrist pulse signals and less focus on non-linear techniques. Hence, the main aim of this research is to apply Recurrence… Show more

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Cited by 2 publications
(1 citation statement)
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“…[10] Results and Discussions From the FFT plots of Vata, Pitta, and Kapha signals, the dominant frequencies are found to occur in the range of 1 to 6 Hz, hence a low pass Butterworth filter of order 12 with a cut off frequency of 10 Hz was used and smooth signals were observed post filtering as can be seen . [12]. From the FFT plot of the raw PPG signal shown in figure 12, the dominant noise frequency caused by powerline interference was found to occur in the range of 45Hz to 60Hz, which was successfully eliminated by using a Butterworth low pass filter of order 12 with a cut off frequency of 20Hz.…”
Section: The K-nearest Neighbor Algorithmmentioning
confidence: 99%
“…[10] Results and Discussions From the FFT plots of Vata, Pitta, and Kapha signals, the dominant frequencies are found to occur in the range of 1 to 6 Hz, hence a low pass Butterworth filter of order 12 with a cut off frequency of 10 Hz was used and smooth signals were observed post filtering as can be seen . [12]. From the FFT plot of the raw PPG signal shown in figure 12, the dominant noise frequency caused by powerline interference was found to occur in the range of 45Hz to 60Hz, which was successfully eliminated by using a Butterworth low pass filter of order 12 with a cut off frequency of 20Hz.…”
Section: The K-nearest Neighbor Algorithmmentioning
confidence: 99%