AIMC Topic: Evoked Potentials

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Automatic and continuous assessment of ERPs for mismatch negativity detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Accurate and fast detection of event related potential (ERP) components is an unresolved issue in neuroscience and critical health care. Mismatch negativity (MMN) is a component of the ERP to an odd stimulus in a sequence of identical stimuli which h...
Humans Machine Learning Electroencephalography Healthy Volunteers Acoustic Stimulation Evoked Potentials, Auditory Evoked Potentials
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High-accuracy user identification using EEG biometrics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data fr...
Humans Neural Networks, Computer Machine Learning Algorithms Brain Logistic Models Electroencephalography Equipment Design Signal Processing, Computer-Assisted Biometric Identification Evoked Potentials Event-Related Potentials, P300
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A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience Aug 1, 2016
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...
Humans Neural Networks, Computer Female Male Brain Mapping Electroencephalography Reaction Time Pain Attention Cues Evoked Potentials Locus Coeruleus
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An alternative respiratory sounds classification system utilizing artificial neural networks.

Biomedical journal Jan 1, 2015
BACKGROUND: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulen...
Humans Neural Networks, Computer Artificial Intelligence Software Signal Processing, Computer-Assisted Nerve Net Evoked Potentials Respiratory Sounds
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