Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial
diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can …

Electrocardiogram (ECG) is a most primitive and important test to analyse the status of the
heart functioning. During this test, different types of noises and artefacts get involved in the …

In general, Electrocardiogram (ECG) signal gets corrupted by variety of noise at the time of
its acquisition. Unfortunately, these noise tend to mask the crucial information …

Arrhythmia Classification plays a major role while diagnosing heart diseases. Any change in
the regular sequence of electric impulses is called as arrhythmia. Identifying arrhythmia as …

Any significant alteration in the Electro-Cardio-Gram (ECG) signal wave components (P-
QRS-T) for a time duration is detected as arrhythmia. In this paper, a novel fractional wavelet …

Estimating heart rate is important for monitoring users in various situations. Estimates based
on facial videos are increasingly being researched because they allow the monitoring of …

Artificial intelligence related technologies are outperforming present day screening methods
in medical field. The classification of ECG beats to detect cardiac arrhythmia is of great …

This paper presents an efficient infinite impulse response type digital fractional order
differentiator (DFOD) based electrocardiogram (ECG) pre-processor to detect QRS …

A novel optical fiber sensor using a mesh microbend optical fiber sensor to measure the
perioperative heart rate (HR) and respiratory rate (RR) frequency signals was developed by …

Objective: Cognitive workload monitoring (CWM) can enhance human-machine interaction
by supporting task execution assistance considering the operator's cognitive state …