User profiles for Bert Arnrich

Bert Arnrich

Professor, Digital Health - Connected Healthcare, Hasso Plattner Institute, University of …
Verified email at hpi.de
Cited by 6796

Discriminating stress from cognitive load using a wearable EDA device

C Setz, B Arnrich, J Schumm… - IEEE Transactions …, 2009 - ieeexplore.ieee.org
The inferred cost of work-related stress call for prevention strategies that aim at detecting early
warning signs at the workplace. This paper goes one step towards the goal of developing …

Towards measuring stress with smartphones and wearable devices during workday and sleep

A Muaremi, B Arnrich, G Tröster - BioNanoScience, 2013 - Springer
Work should be a source of health, pride, and happiness, in the sense of enhancing motivation
and strengthening personal development. Healthy and motivated employees perform …

Monitoring of mental workload levels during an everyday life office-work scenario

B Cinaz, B Arnrich, R La Marca, G Tröster - Personal and ubiquitous …, 2013 - Springer
Personal and ubiquitous healthcare applications offer new opportunities to prevent long-term
health damage due to increased mental workload by continuously monitoring …

Pervasive healthcare

B Arnrich, O Mayora, J Bardram… - Methods of information …, 2010 - thieme-connect.com
Objectives: The aging of the population creates pressure on the healthcare systems in
various ways. A massive increase of chronic disease conditions and age-related illness are …

[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

YS Can, B Arnrich, C Ersoy - Journal of biomedical informatics, 2019 - Elsevier
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …

What does your chair know about your stress level?

B Arnrich, C Setz, R La Marca… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The inferred cost of work-related stress call for early prevention strategies. In this, we see a
new opportunity for affective and pervasive computing by detecting early warning signs. This …

Evaluation of the pose tracking performance of the azure kinect and kinect v2 for gait analysis in comparison with a gold standard: A pilot study

…, A Gebel, CM Brahms, U Granacher, B Arnrich - Sensors, 2020 - mdpi.com
Gait analysis is an important tool for the early detection of neurological diseases and for the
assessment of risk of falling in elderly people. The availability of low-cost camera hardware …

Design and modeling of a textile pressure sensor for sitting posture classification

J Meyer, B Arnrich, J Schumm… - IEEE Sensors Journal, 2010 - ieeexplore.ieee.org
A textile pressure sensor has been designed for measuring pressure distribution on the
human body. Electrodes built with conductive textiles are arranged on both sides of a …

Federated learning in a medical context: a systematic literature review

B Pfitzner, N Steckhan, B Arnrich - ACM Transactions on Internet …, 2021 - dl.acm.org
Data privacy is a very important issue. Especially in fields like medicine, it is paramount to
abide by the existing privacy regulations to preserve patients’ anonymity. However, data is …

Mobile phones as medical devices in mental disorder treatment: an overview

…, G Wurzer, M Frost, V Osmani, B Arnrich… - Personal and Ubiquitous …, 2015 - Springer
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on
their friends and family, healthcare systems and other parts of society. Approximately 25 % of …