Electromyography (EMG) measures the electrical activity in muscles during movement. An
electromyography machine records the electrical signals from the muscle's movements as …

The non-stationary and multi-frequency nature of biomedical signal activities makes the use
of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis …

The health of the brain and muscles depends on the proper analysis of
electroencephalogram and electromyogram signals without noise. The latter blends into the …

The Magnetic Barkhausen Noise (MBN) is a non-destructive testing method, which, due to
its high sensitivity to changes in the microstructure of the material, is increasingly being …

The empirical wavelet transforms and Capon time-frequency applications are used in this
work. EMG and EEG are non-invasive ways to measure muscle activity and the electrical …

An environment-aware millimeter wave radar (EMWR) is one of the most important sensors
in an autonomous driving system. With the increasing penetration of an EMWR on an …

Electromyography (EMG) is a diagnostic tool commonly used to assess the electrical activity
of muscles. This test can help diagnose various neuromuscular conditions, evaluate muscle …

The advancement in technology and the availability of specialized digital signal processing
chips have made digital filter design and implementation more feasible in a variety of fields …

Fetal electrocardiogram (fECG) analysis, ie, the analysis of the heart rate (HR) and the fECG
morphology, offers clinicians vital information about fetal health condition. The fECG can be …

Sigma Delta based biomedical acquisition systems are popular amongst the possible
hardware architectures developed for this purpose. It allows for the creation of high …