Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …

This paper reports a novel electrocardiogram (ECG) data compression algorithm which
employs DCT based discrete orthogonal Stockwell transform. Dead-zone quantization is …

Remote Healthcare Monitoring Systems (RHMs) that use ECG signals are very effective
tools for the early diagnosis of various heart conditions. However, these systems are still …

Objective In cardiac patient-care, compression of long-term ECG data is essential to
minimize the data storage requirement and transmission cost. Hence, this paper presents a …

This paper reports an efficient electrocardiogram (ECG) data compression algorithm for tele-
monitoring of cardiac patients from rural area, based on combination of two encoding …

This study presents a diagnostic quality assured electrocardiogram (ECG) signal
compression algorithm which uses discrete wavelet transform with the selection of …

ECG signal processing for holter monitoring of heart patients is still exploratory. Many signal
processing techniques have been evolved for classification and compression of ECG signal …

Compression of ECG signal is essential especially in the area of signal transmission in
telemedicine. There exist many compression algorithms which are described in various …

This paper presents a novel electrocardiogram data compression algorithm based on
discrete wavelet transform using best mother wavelet selection for minimum percentage root …

Abnormal behavior of heart muscles generates irregular heartbeats which are collectively
known as arrhythmia. Classification of arrhythmia beats plays a prominent role in …