Blar i ODA Open Digital Archive på forfatter "Pinto-Orellana, Marco Antonio"
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Analysis of Optical Brain Signals Using Connectivity Graph Networks
Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ... -
Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS
Khan, Haroon; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)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 patterns, and surface. This exploratory ... -
BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation?
Nascimento, Diego C.; Pinto-Orellana, Marco Antonio; Leite, Joao P.; Edwards, Dylan J.; Louzada, Francisco; Santos, Taiza E. G. (Frontiers in Systems Neuroscience;volume 14, Peer reviewed; Journal article, 2020-11-26)Sparse time series models have shown promise in estimating contemporaneous and ongoing brain connectivity. This paper was motivated by a neuroscience experiment using EEG signals as the outcome of our established interventional ... -
Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification
Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (IEEE Access;Volume 8, Journal article; Peer reviewed, 2020-08-27)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. DASAR enhances automatic modulation ... -
Enhancement of collaboration in the early stage of an interdisciplinary engineering and design project: mapping group dynamics
Risnes, Martha; Mellema, Mirjam; Pinto-Orellana, Marco Antonio; Sherkat, Habib (Engineering and Product Design Education (E&PDE);, Conference object, 2019)Health care systems are moving towards interdisciplinary patient-centred solutions. Team members can agree on high-level aspirations, but it does not imply that they will have conformity in specific objectives. Collaboration ... -
RITS: a toolbox for assessing complex interventions via interrupted time series models
Cruz, Maricela; Pinto-Orellana, Marco Antonio; Gillen, Daniel L.; Ombao, Hernando C. (BMC Medical Research Methodology;21, Article number: 143 (2021), Peer reviewed; Journal article, 2021-07-08)Background: Various interacting and interdependent components comprise complex interventions. These components create difficulty in assessing the true impact of interventions designed to improve patient-centered outcomes. ... -
SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection
Sherkat, Habib; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Optik;Volume 220, October 2020, Journal article; Peer reviewed, 2020-06-19)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 instruments that require high reliability ... -
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data
El Yaagoubi Bourakna, Anass; Pinto-Orellana, Marco Antonio; Fortin, Norbert; Ombao, Hernando (Peer reviewed; Journal article, 2023)Multivariate time series data appear often as realizations of non-stationary processes where the covariance matrix or spectral matrix smoothly evolve over time. Most of the current approaches estimate the time-varying ... -
Spectral dependence
Ombao, Hernando; Pinto-Orellana, Marco Antonio (Peer reviewed; Journal article, 2022)