Ivan Gligorijevic

According to our database1, Ivan Gligorijevic authored at least 13 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Real-Time Mental Workload Estimation Using EEG.
Proceedings of the Human Mental Workload: Models and Applications, 2019

2017
Neuroergonomics Method for Measuring the Influence of Mental Workload Modulation on Cognitive State of Manual Assembly Worker.
Proceedings of the Human Mental Workload: Models and Applications, 2017

Investigating Brain Dynamics in Industrial Environment - Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

2015
Towards Creation of Implicit HCI Model for Prediction and Prevention of Operators' Error.
Proceedings of the Human-Computer Interaction: Interaction Technologies, 2015

2014
A Tool for Neuroergonomic Study of Repetitive Operational Tasks.
Proceedings of the 2014 European Conference on Cognitive Ergonomics, 2014

2013
Multi-structural Signal Recovery for Biomedical Compressive Sensing.
IEEE Trans. Biomed. Eng., 2013

A new and fast approach towards sEMG decomposition.
Medical Biol. Eng. Comput., 2013

2012
A Multichannel Integrated Circuit for Electrical Recording of Neural Activity, With Independent Channel Programmability.
IEEE Trans. Biomed. Circuits Syst., 2012

Multi-sparse signal recovery for compressive sensing.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Reliability of Statistical Features Describing Neural Spike Trains in the Presence of Classification Errors.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2010


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