Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …

An Electrocardiogram (ECG) is a primary and most prevalent non-invasive test performed on
the subjects'(ie patients') with suspected heart problems. It helps in diagnosing important …

We present a new method for automatic detection of peaks in noisy periodic and quasi-
periodic signals. The new method, called automatic multiscale-based peak detection …

In this paper, we present a machine learning model to estimate the blood pressure (BP) of a
person using only his photoplethysmogram (PPG) signal. We propose algorithms to better …

Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …

This paper presents a novel approach for QRS complex detection and extraction of
electrocardiogram signals for different types of arrhythmias. Firstly, the ECG signal is filtered …

Accurate classification of cardiac arrhythmias is a crucial task because of the non-stationary
nature of electrocardiogram (ECG) signals. In a life-threatening situation, an automated …

The approximate computing paradigm emerged as a key alternative for trading off accuracy
and energy efficiency. Error-tolerant applications, such as multimedia and signal processing …

Heart rate monitoring helps in assessing the functionality and condition of the cardiovascular
system. We present a new real-time applicable approach for estimating beat-to-beat time …

Improvement in R-peak detection of electrocardiogram (ECG) signal is still not saturated
even requires better pre-processing, feature extraction and detection stage. Proper detection …