The rapid development in medical devices and communication technologies led to the
emergence of the Internet of Medical Things (IoMT), resulting in several new applications …

This paper proposes a Lossless Electroencephalography (EEG) Data Compression
(LEDaC) method for fog computing networks based on the IoMT. The LEDaC combines two …

Recent enhancements in the field of wireless communication protocols have led to the
development of several wearable devices and sensor networks suitable for health …

In this paper we report experimental results on compression of neurophysiology signals
obtained as part of the standardization activities conducted by the Working Group 32 (WG …

The availability of energy-efficient wireless proto-cols and architectures is a mandatory
requirement for the development of wearable measurement instruments suitable for …

This paper proposes a comprehensive review of Electroencephalography (EEG) data
analytics. The EEG signal definition and the analysis process are presented. The public EEG …

In this paper, a novel near-lossless compression algorithm meant for electromyography
(EMG) signals is proposed and its performance is evaluated towards real EMG …

In this paper, we investigate performance of a re-cently proposed near-lossless compression
algorithm specifically devised for multichannel electroencephalograph (EEG) signals. The …

Coordinatore del progetto multicentrico Telethon GGP12217 (2013-2016) dal
titolo:“Molecular pathology of the SCA28 gene: functional characterization of missense …