Key result
Using event-related potential trials unaffected by heartbeat-evoked potentials (ERPA-HEP) achieved 100% accuracy in mental workload classification, increasing accuracy by 14.3% compared to using all trials.
Why the study?
The study was conducted to determine the effect of heartbeat-evoked potentials on the performance of event-related potential-based mental workload classification.
Does removing heartbeat-evoked potentials from event-related potentials improve the classification accuracy of mental workload?
Does removing heartbeat-evoked potentials from event-related potentials improve the classification accuracy of mental workload?
Excluding heartbeat-evoked potentials from event-related potential epochs significantly improves the accuracy of EEG-based mental workload classification.
Answers are grounded in this paper and cite their sources.
May enhance EEG mental workload monitoring; leaves open validation in larger clinical cohorts.
The aim of this study was to determine the effect of heartbeat-evoked potentials (HEPs) on the performance of an event-related potential (ERP)-based classification of mental workload (MWL). We produced low- and high-MWLs using a mental arithmetic task and measured the ERP response of 14 participants. ERP trials were divided into three conditions based on the effect of HEPs on ERPs: ERP HEP , containing the heartbeat in a period of 280–700ms in ERP epochs after the target; ERP A-HEP , not including the heartbeat within the same period; and ERP T , all trials including ERP A-HEP and ERP HEP . We then compared MWL classification performance using the amplitude and latency of the P600 ERP among the three conditions. The ERP A-HEP condition achieved an accuracy of 100% using a radial basis function-support vector machine (with 10-fold cross-validation), showing an increase of 14.3 and 28.6% in accuracy compared to ERP T (85.7%) and ERP HEP (71.4%), respectively. The results suggest that evoked potentials caused by heartbeat overlapped or interfered with the ERPs and weakened the ERP response to stimuli. This study reveals the effect of the evoked potentials induced by heartbeats on the performance of the MWL classification based on ERPs.
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Park et al. (2021) studied Mental workload (n=14). ERPA-HEP (trials without heartbeat-evoked potentials) vs. ERPT (all trials) was evaluated on Mental workload classification accuracy (14.3% increase). Using event-related potential trials unaffected by heartbeat-evoked potentials (ERPA-HEP) achieved 100% accuracy in mental workload classification, increasing accuracy by 14.3% compared to using all trials.
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