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2025-04-01
EC transform discrete analysis features signal. frequency signal i.e. processing
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470 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 66, NO. 3, MARCH 2017
ECG Signal Analysis Using DCT-Based DOST
and PSO Optimized SVM
Sandeep Raj, Student Member, IEEE, and Kailash Chandra Ray, Member, IEEE
Abstract— Signal processing techniques are an obvious choice
for real-time analysis of electrocardiography (ECG) signals.
However, classical signal processing techniques are unable to deal
with the nonstationary nature of the ECG signal. In this context,
this paper presents a new approach, i.e., discrete orthogonal
stockwell transform using discrete cosine transform for efficient
representation of the ECG signal in time–frequency space. These
time–frequency features are further reduced in lower dimensional
space using principal component analysis, representing the mor-
phological characteristics of the ECG signal. In addition, the
dynamic features (i.e., RR-interval information) are computed
and concatenated to the morphological features to constitute th


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