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2020 IEEE Transactions on Aerospace and Electronic Systems  
P. de Freitas 1332 Spectral Analysis of EEG During Microsleep Events Annotated via Driver Monitoring System to Characterize Drowsiness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Idan 1318 Multi-UAV Based Crowd Monitoring System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. S. de Moraes and E.  ... 
doi:10.1109/taes.2020.2976469 fatcat:gbbwkxne5rd2xge7eilnvzxseq

Transösophageales Interventrikuläres Delay bei Vorhofflimmern und Kardialer Resynchronisation

M. Heinke, B. Ismer, H. Kühnert, T. Heinke, G. Dannberg, H. R. Figulla
2013 Biomedical Engineering  
In practical applications, however, the number of electrodes is limited and the placing is subject to constraints.  ...  To facilitate the reconstruction, an MRI-or CT-based model of the body is required, which is represented as a volume conductor.  ...  Our gratitude also extends to the Centre for Promotion of Science, as the organizers of Festival of robotics 2012, without which these experiments wouldn't be possible in this extent.  ... 
doi:10.1515/bmt-2013-4154 pmid:24042832 fatcat:qsbz2z3utva6rery74jfw66pe4

Track C

2014 Biomedical Engineering  
It incrementally adapts the values depending upon the user performance which is evaluated during task run time. The scheme is capable to cope with inappropriately initialized parameter values.  ...  As the determination of suitable and individualized parameter values for myoelectric-controlled human-machine interfaces is time-consuming, this work presents an incremental parameter adaptation scheme  ...  The author would like to thank Christopher Dörr, THM, for helpful discussions and Youssef Belhoucine, THM, for help with ECG recording.  ... 
doi:10.1515/bmt-2014-5002 pmid:25385887 fatcat:duiajlu3i5gdffz5o4extkvyjm

Reservoir computing approaches to EEG-based detection of microsleeps [article]

Sudhanshu Ayyagari, University Of Canterbury
2017
Therefore, the aim of this project was EEG-based characterization and early detection of microsleeps during a sustained attention task.  ...  This is the first project and study to have implemented and evaluated EEG-based microsleep detection using RC models for the characterization and detection of microsleeps from the underlying EEG.  ...  Also, to get an estimate of whether a signal had undergone a modality change or not during the microsleep event under analysis, DVV was utilized in order to study the common estimation of power spectral  ... 
doi:10.26021/1455 fatcat:7n4d765zjrhpdow66ut2klnsbq

A multi-modal device for application in microsleep detection [article]

Simon James Knopp, University Of Canterbury
2015
Proof-of-concept algorithms are implemented and used to demonstrate that the system can detect simulated microsleeps in real time.  ...  These sensors are connected to a Gumstix computer-on-module which transmits the captured data to a remote computer via Wi-Fi. The device has a battery life of about 7.4 h.  ...  In the area of workload monitoring, Borghini et al. [2014] present a review of research into the effect of mental workload, fatigue, and drowsiness on the EEG and task performance of car drivers and  ... 
doi:10.26021/2937 fatcat:kw3lhdqpezbj5bt3irfluwq5na

Driver alertness monitoring using steering, lane keeping and eye tracking data under real driving conditions [article]

Fabian Friedrichs, Universität Stuttgart
2020
The system analyzes the driving behavior and issues a warning to sleepy drivers.  ...  Thus, the next version 2.0 of the system was the introduction of the more vivid ATTENTION LEVEL, which is a permanently available bargraph monitoring the current driving performance.  ...  The aim of Advanced Driver Monitoring Systems (ADAS) is to detect the onset of sleepiness by analyzing the driving style or physiological indicators of the driver.  ... 
doi:10.18419/opus-10913 fatcat:vq3titt5lfcdjl2gorsnp4l25q