In healthcare, there are rapid emergency response systems that necessitate real-time
actions where speed and efficiency are critical; this may suffer as a result of cloud latency …

The greatest challenge faced during the process of diagnosis of cardiovascular diseases is
the accurate analyses of the Electrocardiogram (ECG). Many researches are being done to …

This paper presents various experimental scalograms of electrocardiograms (ECG) from
which the accuracy of discrimination between shockable and non-shockable arrhythmia is …

Electrocardiography (ECG) monitoring is an important method for cardiac disease detection
and prevention. With the development of telemedicine, ECG real-time monitoring becomes …

Electrocardiogram (ECG) signals are affected by different types of noise and artifacts which
can hide significant information related to heart functioning. Therefore, denoising of signals …

This paper describes work in progress on integrated design architecture for monitoring and
detecting early symptoms of asthma attack using smartphone as sensors' platform for data …

With the alarming rise in deaths due to cardiovascular diseases (CVD), the present medical
research scenario emphasizes techniques and methods to detect CVDs. As the world health …

Electrocardiogram (ECG) is one of the commonly used tools to diagnose cardiac patients.
Analysis of the ECG is extremely useful in the development of an intelligent diagnostic …

MIMO-OFDM is a promising technique for broadband communications over mobile wireless
channel. In this paper, we investigate the channel estimation problem for MIMO-OFDM …

The new-age advancements in biomedical signal processing are due to circuits and systems
which can process complex data, which made the healthcare facilities more compact and …