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Krause, Silvio; Haescher, Marian; Chodan, Wencke; Bieber, Gerald

Nocturnal Respiration Pattern of healthy people as a hint for sleep state detection

2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) <12, 2019, Rhodes, Greece>

ACM International Conference Proceedings Series (ICPS), 01608

Sleep state detection is important to distinguish between a healthy sleep and sleep disorders. Common sleep state analysis methods consist of identifying signals of EEG, EOG, or EMG etc. that can only be assessed in sleep laboratories. The respiration rate and pattern are also affected by the sleep states but are not included in the sleep state analysis method. Since sleep is very important for the recreation of humans, we assume that sleep is mirroring the strain of the day and the general health condition. In our research, we identified a certain respiration rate pattern during sleep in 5 out of 17 healthy persons that might be an identifier for sleep states or for interactions of daytime activity and sleep. Therefore, we introduce this new respiration pattern as “pumping breathing” and compare it with other known respiration patterns.

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Haescher, Marian; Matthies, Denys J.C.; Krause, Silvio; Bieber, Gerald

Presenting a Data Imputation Concept to Support the Continuous Assessment of Human Vital Data and Activities

2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) <12, 2019, Rhodes, Greece>

ACM International Conference Proceedings Series (ICPS), 01608

Data acquisition of mobile tracking devices often suffers from invalid and non-continuous input data streams. This issue especially occurs with current wearables tracking the user’s activity and vital data. Typical reasons include the short battery life and the fact that the body-worn tracking device may be doffed. Other reasons, such as technical issues, can corrupt the data and render it unusable. In this paper, we introduce a data imputation concept which complements and thus fixes incomplete datasets by using a new merging approach that is particularly suitable for assessing activities and vital data. Our technique enables the dataset to become coherent and comprehensive so that it is ready for further analysis. In contrast to previous approaches, our technique enables the controlled creation of continuous data sets that also contain information on the level of uncertainty for possible reconversions, approximations, or later analysis.

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Chodan, Wencke; Krause, Silvio; Meza-Cuevas, Mario A.; Kadner, Martin; Rockstroh, Jan; König, Carsten; Aehnelt, Mario; Urban, Bodo; Bieber, Gerald

The SEBA System. A novel approach for assessing psychological stress continuously at the workplace

2019

iWOAR 2019

International Workshop on Sensor-based Activity Recognition (iWOAR) <6, 2019, Rostock, Germany>

ACM International Conference Proceedings Series

Stress at work is a major cause of health problems for the employees and of costs for companies and the healthcare system. To prevent stress-related disorders, first both the stress level and the exposition to possible stressors must be known. The SEBA system assesses both and produces live data streams that are constantly and automatically evaluated. The system is a head-worn portable device. Multiple sensors assess biosignals of the users that are known to be sensitive towards the feeling of stress (e.g., pulse, eye blink rate, breathing rate, brain activity) and ambient conditions that could influence the feeling of stress (e.g., air quality, flickering lights, temperature, draft). SEBA classifies the individual stress level using a neural network and sends the processed data to a mobile application for visualization purposes. In this paper, we introduce the concept of the SEBA system, including its hardware, sensors, firmware, and software. The SEBA system is currently being development; the paper outlines the current state of development and possible obstacles.

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Bieber, Gerald; Haescher, Marian; Antony, Niklas; Höpfner, Florian; Krause, Silvio

Unobtrusive Vital Data Recognition by Robots to Enhance Natural Human–Robot Communication

2019

Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction

The ongoing technical improvement of robotic assistants, such as robot vacuum cleaners, telepresence robots, or shopping assistance robots, requires a powerful but unobtrusive form of communication between humans and robots. The capabilities of robots are expanding, which entails a need to improve and increase the perception of all possible communication channels. Therefore, the modalities of text- or speech-based communication have to be extended by body language and direct feedback such as non-verbal communication. In order to identify the feelings or bodily reactions of their interlocutor, we suggest that robots should use unobtrusive vital data assessment to recognize the emotional state of the human. Therefore, we present the concept of vital data recognition through the robot touching and scanning body parts. Thereby, the robot measures tiny movements of the skin, muscles, or veins caused by the pulse and heartbeat. Furthermore, we introduce a camera-based, non-body contact optical heart rate recognition method that can be used in robots in order to identify humans’ reactions during robot-human communication or interaction. For the purpose of heart rate and heart rate variability detection, we have used standard cameras (webcams) that are located inside the robot’s eye. Although camera-based vital sign identification has been discussed in previous research, we noticed that certain limitations with regard to real-world applications still exist. We identified artificial light sources as one of the main influencing factors. Therefore, we propose strategies that aim to improve natural communication between social robots and humans.

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Krause, Silvio; Bieber, Gerald; Tominski, Christian; Kreuseler, Matthias

Visualisierung von digitalen, individuellen Gesundheitsdaten am Beispiel des Blutzuckerverlaufs bei gesunden Menschen

2018

WIWITA 2018. Proceedings

Wismarer Wirtschaftsinformatiktage (WIWITA) <11, 2018, Wismar, Germany>

Bei der Nahrungsaufnahme beeinflussen verschiedenste Nahrungsbestandteile die Konzentration des Blutzuckers. Durch die natürlichen Regelmechanismen, beispielsweise der körpereigenen Ausschüttung von Insulin, werden die Blutzuckerkonzentrationen auf einem gesunden Wert gehalten. Bei bestimmten Krankheitsbildern ist jedoch die Regulierung der Blutzuckerkonzentration gestört. Während bislang eine Blutzuckermessung nur durch Blutabnahme möglich war, so ist durch Einsatz von CGM Systemen (CGM - Continuous Glucose Monitoring Systems) eine kontinuierliche Blutzuckermessung möglich. Der Blutzuckerwert wird bei diesen Systemen durch eine Analyse der Zellflüssigkeit bestimmt. Die CGM Systeme werden derzeit für Diabetes mellitus Typ 1 Patienten eingesetzt, deren Blutzuckerspiegel durch das Fehlen der körpereigenen Insulinproduktion gestört ist. Auch bei Gesunden variiert der Blutzuckerspiegel vorwiegend durch Nahrungsaufnahme, Ernährungsstil und körperliche Aktivität. Diese Blutzuckeränderungen können digital abgespeichert werden und sind zu jeder Zeit bequem im Alltag messbar. Diese Daten können anschließend mit angepassten Methoden der Visualisierung repräsentiert werden. Die Messung des Blutzuckerspiegels bei gesunden Personen wird jedoch bislang noch nicht durchgeführt, obwohl die digitale Abbildung relevante Aussagen hinsichtlich des aktuellen und individuellen Stoffwechselverhaltens, Stress sowie der körperlichen Fitness liefern könnte. Anhand der Daten wäre auch eine Entwicklung von Präventivmaßnahmen möglich, wie z.B. die Vorbeugung von Diabetes. In dem Beitrag wird eine Anwendung vorgestellt, die digitale Gesundheitsdaten anhand von ausgewählten Visualisierungskonzepten darstellt, sowie deren potenzielle Möglichkeiten der Nutzung diskutiert.