Cardiovascular disease (CVD) is one of the most widespread health problems with
unpredictable and life-threatening consequences. The electrocardiogram (ECG) is …

In spite of development in digital storage and communication technology, the demand for
data compression is ever increasing. The ECG data requires about 40–50 MB per channel …

This paper proposes an emotion recognition system from EEG (Electroencephalogram)
signals. The main objective of this work is to compare the efficacy of classifying human …

In this paper, an ECG compression method based on beta wavelet using lossless encoding
technique is presented. Wavelet based compression techniques minimize the compression …

Compression of an electrocardiogram (ECG) signal has given much consideration to the
researchers since the computer-aided analysis of ECG has come into being. In some critical …

In this work, we propose a novel denoising method based on evaluation of higher-order
statistics at different Wavelet bands for an electrocardiogram (ECG) signal. Higher-order …

In this paper, multiscale principal component analysis (MSPCA) is proposed for
multichannel electrocardiogram (MECG) data compression. In wavelet domain, principal …

Real-time photoplethysmogram (PPG) denoising and data compression has become most
essential requirements for accurately measuring vital parameters and efficient data …

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 …