Gait and balance are an intricate interplay between the brain, nervous system, sensory organs,
and musculoskeletal system. They are greatly influenced by the type of footwear, walking …

Ambient light (AML) limits the usage of absorption spectroscopy to strictly-controlled
environments due to its impact on the quality of the signals. In medical applications for Optical …

In this article, we presented a novel spectral estimation method, the dyadic aggregated
autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. …

Background Various interacting and interdependent components comprise complex
interventions. These components create difficulty in assessing the true impact of interventions …

Electroencephalograms (EEG) are noninvasive measurement signals of electrical neuronal
activity in the brain. One of the current major statistical challenges is formally measuring …

In this article, we consider an emergent problem in the sensor fusion area in which unreliable
sensors need to be identified in the absence of the ground truth. We devise a novel …

This work presents a computational method for improving seizure detection for epilepsy
diagnosis. Epilepsy is the second most common neurological disease. It impacts between 40 …

Phase-amplitude coupling is a phenomenon observed in several neurological processes,
where the phase of one signal modulates the amplitude of another signal with a distinct …

Sparse time series models have shown promise in estimating contemporaneous and ongoing
brain connectivity. This paper was motivated by a neuroscience experiment using EEG …

… [65] Marco Antonio Pinto-Orellana and Hugo Lewi Hammer. Dyadic Aggregated
Autoregressive Model (DASAR) for Automatic Modulation Classification. IEEE Access, 8: 156096-…