Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep
disorders. Automated sleep scoring is crucial, since the large volume of data should be …

The world is witnessing a vivid race toward developing advanced solutions to enable smart,
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …

With the proliferation of sensors and IoT technologies, stream data are increasingly stored
and analysed, but rarely combined, due to the heterogeneity of sources and technologies …

This paper proposes a quaternion-valued one-layer recurrent neural network approach to
resolve constrained convex function optimization problems with quaternion variables …

Singular spectrum analysis (SSA) is a signal decomposition technique that aims at
expanding signals into interpretable and physically meaningful components (eg, sinusoids …

Over the past decade, converging evidence from diverse studies has demonstrated that
sleep is closely associated with the mental and physical health, quality of life, and safety …

In this paper, a novel method employing symplectic geometry decomposition-based features
is proposed for automatic seizure detection. This study explores the performance of the …

Multi-channel signals collected by multiple sensors contain more operating information than
single-channel signal, so multi-channel signal processing method can improve confidence …

With the rapid development of multi-source information fusion and multi-dimensional sensor
technologies, the signal processing technology based on multi-channel signal has obvious …

Background Manual sleep scoring is deemed to be tedious and time consuming. Even
among automatic methods such as time–frequency (T–F) representations, there is still room …