Signal analysis involves identifying signal behaviour, extracting linear and non-linear
properties, compression or expansion into higher or lower dimensions, and recognizing …

Many people suffer from movement disability due to amputation or neurological diseases.
Fortunately, with modern neurotechnology now it is possible to intercept motor control …

Extracellular recording, the technique of inserting an electrode into the extracellular tissue of
the brain to record the activity of individual neurons (“single-unit activity”), is a common …

Objective. Reliable chronic recordings from implanted neural probes remain a significant
challenge; current silicon-based and microwire technologies experience a wide range of …

The efficacy of wireless intracortical brain–computer interfaces (iBCIs) is limited in part by
the number of recording channels, which is constrained by the power budget of the …

Energy-efficient spike-sorting DSPs are necessary to allow for the real-time processing of
multi-channel, wireless, implantable neural recordings. Online, unsupervised clustering …

Spike sorting is an important processing step in various neuroscientific and clinical studies.
Energy-efficient spike-sorting ASICs are necessary to allow real-time processing of multi …

An emerging generation of high-density microelectrode arrays (MEAs) is now capable of
recording spiking activity simultaneously from thousands of neurons with closely spaced …

Proper classification of action potentials from extracellular recordings is essential for making
an accurate study of neuronal behavior. Many spike sorting algorithms have been presented …

In this paper, we propose a fast novel nonlinear filtering method named Relative-Energy
(Rel-En), for robust short-term event extraction from biomedical signals. We developed an …