Background: Accurate detection of deep sleep (Due to the low frequency of the brain signal in this part of sleep, it is also called slow-wave sleep) from awakening increases the sleep staging accuracy as an important factor in medicine. Depending on the time and cost of manually determining the depth of sleep, we can automatically determine the depth of sleep by electroencephalogram (EEG) signa...

In biomedical signal processing, the aim is to extract clinically, biochemically or pharmaceutically relevant information in order to enable an improved medical diagnosis. All living things, from cells to organism, deliver signals of biological origin. Such signals can be electric, mechanical, or chemical. All such signals can be of interest for diagnosis, for patient monitoring and biomedical ...

Signal processing theory and practice are enabling and driving forces behind multimedia devices, communications systems, and even such diverse fields as automotive and medical systems. Over 90% of the signal processing systems on the market used fixed-point arithmetic because of the cost, power, and area savings that fixed-point systems provide. However, most colleges and universities do not te...

This paper presents the design, implementation and results related to the storage system of medical information associated to the ECG (Electrocardiography) signal. The system includes the signal acquisition modules, the preprocessing and signal processing, followed by a module of transmission and reception of the signal, along with the storage and web display system of the medical platform. The...

The development of ultrasound devices and diagnostic methods is closely related with the development of microelectronics and digital signal processing. In most of the state of the art electronic devices, the signal is digitally processed. These devices may be generally categorized based on the number of parallel processing channels. Imaging devices with multi-element linear or phased arrays usu...

The topic of this report is signal representation in the context of hierarchical image processing. An overview of hierarchical processing systems is included as well as a presentation of various approaches to signal representation, feature representation and feature extraction. It is claimed that image hierarchies based on feature extraction, so called feature hierarchies, demand a signal repre...

The underlying theme of this paper is to explore the various facets power systems data through lens graph signal processing (GSP), laying down foundations Grid-GSP framework. provides an interpretation for spatio-temporal properties voltage phasor measurements, by showing how well-known modeling supports a generative low-pass filter model state variables, namely phasors. Using we formalize empi...