David Sommer Martin Golz Thomas Schnupp David J Edwards
Jarek Krajewski David Sommer Udo Trutschel Martin Golz
Martin Golz David Sommer Jarek Krajewski David J Edwards
Martin Golz David Sommer Jarek Krajewski
Udo Trutschel Bill Sirois David Sommer David J Edwards
An overview of several methods of electroencephalography (EEG) analysis in order to assess driver sleepiness is presented. All methods were applied to one single data set obtained from overnight driving simulations in our lab. 10 young adults (age 22.4 ± 4.1 years) participated and drove on rural roads; time on task was 7 x 40 min and time since sl...
Martin Golz David Sommer Jarek Krajewski
Im Fahrsimulationslabor wurden an 16 Personen in je 2 Nächten Biosignale, vor allem das Elektronenzephalogramm (EEG), sowie Videos des Fahrerverhaltens aufgezeichnet. Sekundenschlafereignisse wurden bzgl. des Eintrittszeitpunkts und der Stärke durch a) mehrere Assistenten und b) einen Experten beurteilt. Mit einer Prozesskette des maschinellen Lern...
Tobias Anhalt Adolf Schenka David Sommer Martin Golz
Recognizing a pathological-in distinction from a healthy-heart rhythm presents a challenge of contemporary cardiovascular research. We propose a machine learning framework to determine the deciding features for a given discriminative problem. This approach is demonstrated by analyzing publicly available RR-interval recordings including a group of p...
Christian Heinze David Sommer Udo Trutschel Martin Golz
The concept of feature combination using Learn-ing Vector Quantization (LVQ) networks is introduced in order to increase the discrimination ability between two subject groups, one with normal sinus rhythm and one with congestive heart failure.
Udo Trutschel Christian Heinze David Sommer Martin Golz
We propose a machine learning framework that implements automated relevance determination in order to identify the deciding RR interval features for the discrimination between congestive heart failure and healthy condition. As a result, the most relevant features of heart rate variability (HRV) are narrowly located spectral components in the very-l...
Christian Heinze Udo Trutschel Martin Golz
Recognizing pathological heart rhythm features remains a challenge of cardiovascular research. We adopt a machine learning framework with empirically optimized parameters to distinguish heart failure from healthy condition, emphasizing on spectral and nonlinear features of heart rate variability. Fine grained spectral power densities of RR interval...
Christian Heinze David Sommer Udo Trutschel Martin Golz
Für den Warentransport eines regionalen Einzelhandelsunternehmens mit 284 Filialen wurden die Tourenplanung und die Tourenoptimierung mit vielfältigen Nebenbedingungen algorithmisch umgesetzt. Die Optimierung wurde mit drei ver-schiedenen Methoden vergleichend durchgeführt. Simulierte Ameisen-Kolonien erwiesen sich dabei als die praktikabelste Meth...
Christoph Schmidt Udo Trutschel Christian Heinze Martin Golz
Basierend auf empirischen Beobachtungen werden Kneippschen Kaltwasseranwendungen bei den oberen Extremitäten eine anregende, bei den unteren Extremitäten dagegen eine beruhigende Wirkung zugeschrieben. Kneipps Lehre selbst und medizinische Untersuchungen bieten kaum Grundlagen, um diese Effekte im physiologischen Sinne zu begründen. Daher wurde anh...
Christian Heinze Katarina Gille Udo Trutschel Martin Golz
Hochwertige und zugleich relativ preiswerte Geräte des IT-Massenmarktes, wie beispielsweise Smartphones, finden zunehmend Anwendung auch in der Medizintechnik. Wir gehen der Frage nach, ob mit den internen Beschleunigungs- und Winkelgeschwindigkeitssensoren posturografische Messungen erfolgen können, die zur quantitativen Einschätzung der Standstab...
Adolf Schenka M. Strüning David Sommer Martin Golz
The aim of this study is to evaluate whether frequency domain heart rate measures can be used to detect impaired driver performance. An overnight driving simulation scenario with partial sleep deprivation was utilized to induce driver performance impairment. Heart rate (HR) was recorded over the entire experiment; frequency domain HR-measures were...
Christian Heinze Sven Schirmer Udo Trutschel David J Edwards
Periodogram and other spectral power estimation methods are established in quantitative EEG analysis. Their outcome in case of drowsy subjects fulfilling a sustained attention task is difficult to interpret. Two novel kind of EEG analysis based on pattern recognition were proposed recently, namely the microsleep (MS) and the alpha burst (AB) patter...
Martin Golz David Sommer Udo Trutschel Bill Sirois
The development of the human sleep-wake cycle and the adaptation to the changing day and night condition on our planet took place over a time frame of 100000 years. As the result, a representative cross section of today's population sleeps between 4 and 11 hours, with a midsleep point between 1.00 and 9.00 am and a period length of the human circad...
Sven Schirmer Christian Heinze Martin Golz Udo Trutschel
The objective of this study was to assess the monotonic mental workload under changing conditions of operator fatigue during a night time driver simulation study. Several cardiovascular measures were used in order to differentiate between driving and a continuous tracking task. From all of the standard cardiovascular measures, heart rate in beats p...
Udo Trutschel Martin Golz Christian Heinze David J Edwards
In order to investigate the potential of heart rate measures to reflect changes in the circadian rhythm or in sleepiness, an ultrashort sleep-wake experimental protocol was used to unmask circadian-or sleepiness-related effects: Over a duration of 50 hours and always alternating, subjects attempted to fall asleep within 10 minutes and must stay awa...
Christian Heinze Udo Trutschel Michel Kluge Martin Golz
A novel method to evaluate the statistical significance differences between the groups of coma and brain death patients is presented. This is achieved based on the electroencephalogram (EEG) and by using a collaborative filtering structure with the least mean square (LMS) and least mean phase (LMP) adaptive filters. By virtue of a complex-valued re...
Yili Xia Ling Li Jianting Cao Danilo P. Mandic
In dieser Arbeit wird ein System zur Erkennung von Musikinstrumenten in polyphonen und multitimbralen Musikaufnahmen mittels Verfahren des maschinellen Lernens vorgestellt. Bezogen wurde sich dabei auf Solopartaufnahmen und multitimbrale Aufnahmen, bei denen ein Instrument signifikant vordergründiger zu hören ist als die restlichen, hintergründigen...
Matthias Kahl Martin Golz
The aim of this study is to evaluate the suitability of heart rate recordings for establishing a reliable connection to well-defined fatigue and performance measures in order to estimate fatigue in industrial and transportation applications. An overnight driving simulation scenario with partial sleep deprivation was utilized to induce strong fatigu...
Christian Heinze Udo Trutschel David J Edwards Martin Golz
Accidents caused by fatigue in transportation or mining operations (involving heavy equipment) can lead to substantial damage and human injury. Preventing such fatigue related accidents is highly desirable, but requires techniques for continuously estimating and predicting the operator's fatigue state. In this paper, we analyze the potential of ECG...
Christian Heinze Udo Trutschel Martin Golz Jens Haueisen
For many shift workers in 24/7 societies, working schedules and social influences off the job conflict with their sleep-wake cycle (SWC). In order to ensure sustained wakefulness and high performance during work time as well as to support worker's long-term health, it's important to forecast their SWC by individualized bio-mathematical models. This...
Christian Heinze Udo Trutschel Martin Golz Jens Haueisen
In the area of transportation research, there is a growing need for robust and reliable measures of hypovigilance, particularly due to the current volume of research in the development and validation of Fatigue Monitoring Technologies (FMT). Most of the currently emerging FMT is vision based. The parameter Percentage of Eyelid Closure (PERCLOS) is...
David Sommer Martin Golz Udo Trutschel David J Edwards
