Sanjay Phadke

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We propose a novel hybrid Hölder-SVM detection algorithm for arrhythmia classification. The Hölder exponents are computed efficiently using the wavelet transform modulus maxima (WTMM) method. The hybrid system performance is evaluated using the benchmark MIT-BIH arrhythmia database. The implemented model classifies 160 of Normal sinus rhythm, 25 of(More)
We present findings of a questionnaire-based survey for practicing psychiatrists in the state of Maharashtra, India as an effort to understand challenges faced and the strategies adopted while treating women in reproductive age, especially during pregnancy. Participants were asked open-ended questions to cover pre and peri-conceptional period where use of(More)
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