Principal component analysis (PCA) is a well-established approach commonly used for
dimensionality reduction. However, its computational cost and memory requirements …

Compressed Sensing (CS) can be introduced in the processing chain of a sensor node as a
mean to globally reduce its operating cost, while maximizing the quality of the acquired …

The paper presents a novel method for Compressed Sensing (CS) based sampling scheme,
which is suitable for implementation in a real-time data acquisition system, for the Internet-of …

Telemonitoring of diaphragmatic electromyogram (EMGdi) signal in wireless sensor
networks (WSNs) and Internet of Things (IoT) holds the promise to be an evolving direction …

Compressed sensing has been proposed to both yield low-cost compression and low-cost
encryption. This can be very useful in the design of sensor nodes with a limited resource …

Technology scaling enables today the design of ultra-low power wearable bio-sensors for
continuous vital signs monitoring or wellness applications. Such bio-sensing nodes are …

Compressed sensing provides a sub-Nyquist sampling rate but requires a sparse structure
of the signal. Electrocardiogram (ECG) signal expresses no sparse structure in time domain …

This paper presents a new approach for the optimization of a dictionary used in ECG signal
compression and reconstruction systems, based on Compressed Sensing (CS). Alternatively …

Cardiac monitoring systems in Internet of Things (IoT) healthcare, reliant on limited battery
and computational capacity, need efficient local processing and wireless transmission for …

Abstract The advent of Integrated Energy Systems enabled various distributed energy to
access the system through different power electronic devices. The development of this has …