IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Brain-computer interface (BCI) is a technology that connects the human brain and external devices. Many studies have shown the possibility of using it to restore motor control in stroke patients.
Yi Tao +9 more
doaj +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
The Application of Multivariate Empirical Mode Decomposition with Canonical Correlation for EEG Artifact Removal [PDF]
, 2014 Includes bibliographical references (pages 38-30).A variety of algorithms have been developed for removing unwanted artifacts from physiological signals.
Tavildar, Siddhi Vasant
core
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Agribusiness, EarlyView.Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Denoising and classification of Arrhythmia using MEMD and ANN
Alexandria Engineering Journal, 2022 One of the major reasons of death worldwide is Cardiovascular diseases. One of its type is Arrhythmia in which normal rhythm of heart is varied due to damage in heart muscles and electrolyte imbalance.
Sadia Murawwat +4 more
doaj +1 more source
Myoelectric Pattern Identification of Stroke Survivors Using Multivariate Empirical Mode Decomposition [PDF]
Journal of Healthcare Engineering, 2014 This study presents a novel feature extraction method for myoelectric pattern recognition using a multivariate extension of empirical mode decomposition (EMD), namely multivariate EMD (MEMD). The method processes multiple surface electromyogram (EMG) channels simultaneously rather than in a channel‐by‐channel manner.
Xu, Zhang, Ping, Zhou
openaire +2 more sources
Accounting for nonstationarity in the condition monitoring of wind turbine gearboxes [PDF]
, 2013 Increasing growth of wind turbine systems suggests a more systematic research around their design, operation and maintenance is needed. These systems operate under challenging enviromental conditions and failure of some of their parts, for the time being,
Antoniadou, Ifigeneia
core
Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms [PDF]
, 2011 This study assesses the connectivity alterations caused by Alzheimer's disease (AD) and mild cognitive impairment (MCI) in magnetoencephalogram (MEG) background activity.
Abasolo, Daniel +14 more
core +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
An Efficient and Robust Muscle Artifact Removal Method for Few-Channel EEG
IEEE Access, 2019 The unavoidable muscle artifacts pose challenges on reliable interpretation of the electroencephalogram (EEG) recordings, especially for the wearable few-channel EEG, a new emerging scenario. However, the high computational load and low robustness of the
Yan Liu +9 more
doaj +1 more source