B Singh, A Kaur, J Singh - International journal of computer applications, 2015 - Citeseer
Electrocardiogram (ECG) data compression reduced the storage requirements to develop a more efficient telecardiology system for cardiac analysis and diagnosis. The ECG …
Current medical screening and diagnostic procedures have shifted toward recording longer electrocardiogram (ECG) signals, which have traditionally been processed on personal …
Heart rate monitoring and therapeutic devices include real-time sensing capabilities reflecting the state of the heart. Current circuitry can be interpreted as a cardiac electrical …
Background and objective In the field of biomedical, it becomes necessary to reduce data quantity due to the limitation of storage in real-time ambulatory system and telemedicine …
This paper presents a quality controlled reconstruction of ECG signal by the formulation of 2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme …
A Tiwari, TH Falk - Biomedical Signal Processing and Control, 2019 - Elsevier
Abstract Background Cardiovascular diseases (CVDs) are among one of the leading causes of death in the world today. Electrocardiography (ECG) is commonly used to monitor and …
Advancements in electronic health record system allow patients to store and selectively share their medical records as needed with doctors. However, privacy concerns represent …
In this paper, a one-dimensional complex Discrete Anamorphic Stretch Transform (DAST) is proposed for precompression of the ECG signal. Three 1D kernels (Linear, Sublinear, and …
In this paper, a joint use of the discrete cosine transform (DCT), and differential pulse code modulation (DPCM) based quantization is presented for predefined quality controlled …