Medical time series are sequential data collected over time that measures health-related
signals, such as electroencephalography (EEG), electrocardiography (ECG), and intensive …

Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …

Abstract Wireless Body Sensor Nodes (WBSN) are frequently used for real time IoT-based
health monitoring of patients outside the hospital environment. These WBSNs involve bio …

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 …

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

An ultra-low power ECG processor ASIC (application specific integrated circuit) with R-wave
detection and data compression is presented, which is designed for the long-term …

Motivated by analyzing complicated time series, nonlinear-type time–frequency analysis has
become an active research topic in the past decades. Those developed tools have been …

The usage of wearable gadgets is growing in the cloud-based health monitoring systems.
The signal compression, computational and power efficiencies play an imperative part in this …

This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for
monitoring human health in daily life. A flexible sensing electrode was designed to replace …

The rapid development of the IoT and cloud computing has spawned a new network
structure—sensor-cloud system (SCS) where sensors, sensor networks, and cloud …