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Du X.,China Astronaut Research and Training Center | Zhang Y.,China Astronaut Research and Training Center | Zhang Y.,National Key Laboratory of Human Factors Engineering | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The present study investigated the effect of automation on the mental workload of novice operators in manual rendezvous and docking (RVD). One within-subject experiment was designed and fifteen participants participated in the experiment. All participants were required to finish six RVD tasks of two automation levels: manual RVD and the automation-aided manual RVD. Workload of the participant during RVD tasks were assessed with subjective and physiological indicators. Subjective workload was measured by NASA Task Load Index (NASA-TLX). Physiological workload indicators included mean heart rate, the root mean square of successive differences (RMSSD), the low frequency (LFNU, 0.04 to 0.15 Hz) and high frequency (HFNU, 0.15 to 0.4 Hz) power spectrum component of heart rate variability (HRV, both in normalization form), the LF/HF ratio, and the total power (TP). The results showed that subjective workload rating were significantly lower in the automation- aided RVD as compared to that of manual RVD task. However cardiovascular measures showed different pattern. Mean heart rates, RMSSD and TP of participants did not change significantly with the change of automation level, LFNU was significantly higher, and HFNU was significantly lower in automation-aided RVD task as compared to that in manual RVD task. The results showed that despite a perceived workload reduction in automation-aided RVD, the objective measures of HRV reflected a workload increment. A possible reason is that novice operators were not familiar with automated system, thus it was difficult for them to understand and anticipate the intention and action of automation. The results inferred that application of automation to such complex and dynamic tasks for novice operators should be cautious; novice participants need more training to build deeper understanding of automation system. © Springer International Publishing Switzerland 2015. Source


Bai J.,Harbin Institute of Technology | Wang K.,Harbin Institute of Technology | Li Q.,Harbin Institute of Technology | Li Y.,State Key Laboratory of Space Medicine Fundamentals and Application | And 2 more authors.
Computing in Cardiology | Year: 2016

Experimental studies suggest EADs may occur at rapid heart rates as a consequence of tachyarrhythmias. The aim of this study was to investigate the interaction between EAD and rapid reentrant excitation waves and assess its effects with electrocardiogram (ECG).The simulation results indicated that, at the cellular level, reduced repolarization reserve contributed to action potential duration (APD) prolongation (ENDO: 302ms vs. 402ms, MIDDLE: 414ms vs.>1000ms, EPI: 298ms vs. 397ms) and genesis of EADs only in MIDDLE cells. In the 3D model, EADs caused drift of rapid rotors. Multiple focal excitations arising from EADs kept regeneration of reentrant excitation waves by breaking excitation wave fronts. ECGs presented periodic features with stable reentry in control condition, but degenerated into irregular and complex patterns in EADs condition. The simulation results demonstrate that MIDDLE cells are prone to genesis of EADs at rapid heart rates, which plays an important role in degenerating ventricular tachycardia into ventricular fibrillation. © 2015 CCAL. Source


Wang M.,National Key Laboratory of Human Factors Engineering | Wang M.,China Astronaut Research and Training Center | Zhang Y.,National Key Laboratory of Human Factors Engineering | Zhang Y.,China Astronaut Research and Training Center | And 8 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

To investigate how the spaceflight operation complexity and training affect operation errors of spaceflight tasks, a two-factor experiment was designed and conducted. Nine participants performed eighteen spacecraft operation units which were divided into three complexity levels during two training stages. Based on the experiment data, the changes of average operation times and errors at the initial and final stages were analyzed; the equations of linear regression between the complexity and the average operation errors were established. The results showed that the average operation errors were significantly raised with the complexity at the initial stage (P=0.03, 0.02). The operation errors of the low and middle complexity levels at the final stage were much less than those at the initial stage (P<0.05).The operation errors were significantly correlated to the complexity levels at the two stages. It implies that suitable operation complexity and sufficient training are two of the effective ways to ensure the reliability of astronaut operations during spaceflight. © 2013 Springer-Verlag. Source


Li P.,State Key Laboratory of Space Medicine Fundamentals and Application | Li P.,China Astronaut Research and Training Center | Wu B.,State Key Laboratory of Space Medicine Fundamentals and Application | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This research aims to study how HRV parameters change with task complexity during manual controlled Rendezvous and Docking (RVD). One one-factor experiment was conducted. The experiment task was manual controlled Rendezvous and Docking (RVD) operation and the factor was task complexity which was divided into three levels. Eight male volunteers participated in this experiment, which consisted of three trials, and each of which consisted of ten operation units containing three complexity levels. The dependent variables were main performance parameters and HRV parameters. Results showed that operation time and fuel consumption changed significantly with different complexity levels. Besides, there were significant differences on partial HRV parameters. It can be inferred that some HRV parameters are useful for mental workload evaluation. However, the relationship between the insignificant parameters and complexity levels needs to be validated and the way how HRV should be used for mental workload evaluation deserves further study. © 2013 Springer-Verlag. Source


Song J.,State Key Laboratory of Space Medicine Fundamentals and Application | Song J.,Astronaut Research and Training Center | Yan H.,State Key Laboratory of Space Medicine Fundamentals and Application | Yan H.,Astronaut Research and Training Center | And 6 more authors.
Journal of Mechanics in Medicine and Biology | Year: 2011

Changes of STT complex are the main indicators in myocardial ischemia detection based on electrocardiogram (ECG) signals. However, STT complex is highly sensitive to interferences (baseline wandering, postural changes, electrode interference, etc.), especially T-wave has a large morphological variability. Therefore, the feature points of ECG STT complex are very difficult to detect accurately. Currently, the commonly used detection methods for ST-segment include R + x and J + x, but they often misjudges the T-wave rising limb as ST-segment. Therefore, a new accurate hybrid approach for STT detection was proposed in this paper. First, T-wave onsets and offsets were detected using regional method and T-wave peaks were located using function comparing method. Then, a squeeze approach for ST-segment detection was proposed based on R-wave peak and T-wave onset. Long-term ST database (LTST) verification demonstrated that the accuracy of STT detection reached above 91%. In addition, it had a good timeliness and robustness and was easy to implement. © 2011 World Scientific Publishing Company. Source

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