Publications by Huaijian Zhang

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Marija Uscumlic, Zahra Khaliliardali, Sareh Saeedi, Lucian Andrei Gheorghe, Huaijian Zhang, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

Human EEG reveals distinct neural correlates of power and precision grasping types

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Robert Leeb, Huaijian Zhang, Inaki Asier Iturrate Gil, Tiffany Corbet

Hand grasping is a sophisticated motor task that has received much attention by the neuroscientific community, which demonstrated how grasping activates a network involving parietal, pre-motor and motor cortices using fMRI, ECoG, LFPs and spiking activity. ...

2018

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Huaijian Zhang

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Frontiers Research Foundation2017

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Huaijian Zhang, Tiffany Corbet

2016

Single Trial Classification of Neural Correlates of Anticipatory Behavior during Real Car Driving

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang

2016

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Lucian Andrei Gheorghe, Huaijian Zhang

Psychophysical studies have reported correlation between neural activity in frontal and parietal areas and subject's reaction time in simple tasks. Here we study whether similar correlates can also be identified in driver's electroencephalography (EEG) act ...

2015

Discriminant Brain Connectivity Patterns of Performance Monitoring at Average and Single-Trial Levels

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Huaijian Zhang

Electrophysiological and neuroimaging evidence suggest the existence of common mechanisms for monitoring erroneous events, independent of the source of errors. Previous works have described modulations of theta activity in the medial frontal cortex elicite ...

Elsevier2015

EEG-based decoding of error-related brain activity in a real-world driving task

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang, Inaki Asier Iturrate Gil

Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

Institute of Physics2015

Connectivity Analysis of Brain States and Applications in Brain-Computer Interfaces

Huaijian Zhang

Human brain is organized by a large number of functionally correlated but spatially distributed cortical neurons. Cognitive processes are usually associated with dynamic interactions among multiple brain regions. Therefore, the understanding of brain funct ...

EPFL2015

Towards Implementation of Motor Imagery using Brain Connectivity Features

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Huaijian Zhang

This study aims to explore modulation of the connectivity pattern when people perform left hand versus right hand motor imagery and probe the feasibility of adopting connectivity information to discriminate these tasks. Nine subjects were recorded with 16- ...

2014

Detecting Cognitive States for Enhancing Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang

Intelligent cars exploit environmental information to support drivers by providing extra information and assisting complex maneouvers. They can also take into account the internal state of the driver by means of decoding cognition-related brain activity. H ...

Graz University of Technology Publishing House2013

Inferring Driver’s Turning Direction through Detection of Error Related Brain Activity

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Lucian Andrei Gheorghe, Huaijian Zhang

This work presents EEG-based Brain-computer interface (BCI) that uses error related brain activity to improve the prediction of driver’s intended turning direction. In experiments while subjects drive in a realistic car simulator, we show a directional cue ...

2013

Self-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee, Huaijian Zhang

Neural signatures of humans’ movement intention can be exploited by future neuroprosthesis. We propose a method for detecting self-paced upper limb movement intention from brain signals acquired with both invasive and noninvasive methods. In the first stud ...

Ieee2012

Improved Recognition of Error Related Potentials through the use of Brain Connectivity Features

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Mohit Kumar Goel, Lucian Andrei Gheorghe, Huaijian Zhang

Brain error processing plays a key role in goal-directed behavior and learning in human brain. Directed transfer function (DTF) on EEG signal brings unique features for discrimination between correct and error cases in braincomputer interface (BCI) system. ...

Ieee2012