The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …

Epilepsy is a neurological disorder with prevalence of about 1-2% of the world's population
(Mormann, Andrzejak, Elger & Lehnertz, 2007). It is characterized by sudden recurrent and …

We present a new method for automatic detection of peaks in noisy periodic and quasi-
periodic signals. The new method, called automatic multiscale-based peak detection …

In this paper, we present a machine learning model to estimate the blood pressure (BP) of a
person using only his photoplethysmogram (PPG) signal. We propose algorithms to better …

Electroencephalography (EEG) offers information about brain function relevant to a variety of
neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution …

This paper presents an algorithm for the measurement of the human heart rate, using
photoplethysmography (PPG), ie, the detection of the light at the skin surface. The signal …

Over many decades, research is being attempted for the detection of epileptic seizure to
support for automatic diagnosis system to help clinicians from burdensome work. In this …

In this work, we present a methodology for spike enhancement in electroencephalographic
(EEG) recordings. Our approach takes advantage of the non-stationarity nature of the EEG …

Over several years, research had been conducted for the detection of epileptic seizures to
support an automatic diagnosis system to comfort the clinicians' encumbrance. In this …

OBJECTIVE: We propose a new method for automatic detection of fast ripples (FRs) which
have been identified as a potential biomarker of epileptogenic processes. METHODS: This …