References of "Kaufmann, Tobias"
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See detailEffects of resting heart rate variability on performance in the P300 brain-computer interface
Kaufmann, Tobias; Vögele, Claus UL; Sütterlin, Stefan UL et al

in International Journal of Psychophysiology (2012), 83(3), 336-341

Objective: Brain computer interfaces (BCI) can serve as a communication system for people with severe impairment in speech and motor function due to neurodegenerative disease or injury. Reasons for inter ... [more ▼]

Objective: Brain computer interfaces (BCI) can serve as a communication system for people with severe impairment in speech and motor function due to neurodegenerative disease or injury. Reasons for inter-individual differences in capability of BCI usage are not yet fully understood. Paradigms making use of the P300 event-related potential are widely used. Success in a P300 based BCI requires the capability to focus attention and inhibit interference by distracting irrelevant stimuli. Such inhibitory control has been closely linked to peripheral physiological parameters, such as heart rate variability (HRV). The present study investigated the association between resting HRV and performance in the P300-BCI. Methods: Heart rate was recorded from 34 healthy participants under resting conditions, and subsequently a P300-BCI task was performed. Results: Frequency domain measures of HRV were significantly associated with BCI-performance, in that higher vagal activation was related to better BCI-performance. Conclusions: Resting HRV accounted for almost 26% of the variance of BCI performance and may, therefore, serve as a predictor for the capacity to control a P300 oddball based BCI. Significance: This is the first study to demonstrate resting vagal-cardiac activation to predict capability of P300-BCI usage. [less ▲]

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See detailARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis
Kaufmann, Tobias; Sütterlin, Stefan UL; Schulz, Stefan M. et al

in Behavior Research Methods (2011), 43(4), 1161-1170

The importance of appropriate handling of artifacts in interbeat interval (IBI) data must not be underestimated. Even a single artifact may cause unreliable heart rate variability (HRV) results. Thus, a ... [more ▼]

The importance of appropriate handling of artifacts in interbeat interval (IBI) data must not be underestimated. Even a single artifact may cause unreliable heart rate variability (HRV) results. Thus, a robust artifact detection algorithm and the option for manual intervention by the researcher form key components for confident HRV analysis. Here, we present ARTiiFACT, a software tool for processing electrocardiogram and IBI data. Both automated and manual artifact detection and correction are available in a graphical user interface. In addition, ARTiiFACT includes time- and frequency-based HRV analyses and descriptive statistics, thus offering the basic tools for HRV analysis. Notably, all program steps can be executed separately and allow for data export, thus offering high flexibility and interoperability with a whole range of applications. [less ▲]

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