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 …

Typical IoT based e-health scenarios use resource constrained wearable device to facilitate
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …

Rapid growth in wireless communication and sensor based technology has contributed to
the integration of wearable device with internet technology which supports wireless body …

Incalculable numbers of patients in hospitals as a result of COVID-19 made the screening of
heart patients arduous. Patients who need regular heart monitoring were affected the most …

Long-term electrocardiogram (ECG) signal monitoring necessitates a large amount of
memory space for storage, which affects the transmission channel efficiency during real-time …

Compressed Sensing (CS) has been considered a very effective means of reducing energy
consumption at the energy-constrained wireless body sensor networks for monitoring the …

In the present era, precise medical instruments are available to record the medical signals
for diagnosis as well as regular monitoring of pregnant lady and foetus. These recorded …

Background The long-term electrocardiogram (ECG) signals are one of the crucial tools for
the detection of severe heart diseases. However, a huge data is generated in its acquisition …

In this paper, a one-dimensional ECG signal is decomposed as symmetry tree structure at
each level using discrete wavelet transforms which outcomes from a larger quantity of …

Electrocardiogram (ECG) signals are frequently used in the continuous monitoring of heart
patients. These recordings generate huge data, which is difficult to store or transmit in …