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Bert Arnrich

Informatiker

Name	Bert Arnrich
Place	Potsdam (Wirkungsort) Deutschland
Academic degree	Prof. Dr.
Profession	Informatiker (characteristic profession)
Related	Universität Potsdam Hasso-Plattner-Institut für Digital Engineering Eidgenössische Technische Hochschule Zürich
Further information	Prof. Dr.-Ing. Bert Arnrich ist Leiter des Lehrstuhls Digital Health - Connected Healthcare an der gemeinsamen Fakultät Digital-Engineering des Hasso-Plattner-Instituts (HPI) und der Universität Potsdam.
Record type	Person
GND-Identifier	13169393X
Record ID	13169393X
Involved in show all EPIStress: A multimodal dataset of Physiological signals to measure cognitive stress in epilepsy patients Sensor-based evaluation of intermittent fasting regimes: a machine learning and statistical approach 3D human pose estimation for analyzing movement patterns during physical exercise 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study Human activity recognition engineering : developing a pipeline for data collection, modeling, and real-time processing in sensor-based human activity recognition Leveraging sensors and machine learning to support health: Enhancing sitting posture classification and developing an affective computing approach for healthy eating behaviours Personalized mobile gait analysis: Towards wearable-based rehabilitation in daily life Privacy-preserving federated learning: Strengthening data protection and secure collaboration in healthcare Technological interventions to alleviate alarm fatigue in intensive care medicine : an IT systems approach Unobtrusive measurement of cognitive load and physiological signals in uncontrolled environments SONAR, a nursing activity dataset with inertial sensors DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data DUO-GAIT: a gait dataset for walking under dual-task and fatigue conditions with inertial measurement units HPI Future SOC Lab – Proceedings 2019 Towards supporting an early diagnosis of multiple sclerosis using vocal features Voice Analysis for Neurological Disorder Recognition – A Systematic Review and Perspective on Emerging Trends Abschlussbericht KI-Labor ITSE : KI-Labor für Methodik, Technik und Ausbildung in der IT-Systemtechnik PERSIST: a multimodal dataset for the prediction of perceived exertion during resistance training Voice analysis for neurological disorder recognition – a systematic review and perspective on emerging trends IMU-Based Movement Trajectory Heatmaps for Human Activity Recognition Proceedings of the HPI Research School on Service-oriented Systems Engineering 2020 Fall Retreat Speaking corona? Human and machine recognition of COVID-19 from voice TRIPOD - a treadmill walking dataset with IMU, pressure-distribution and photoelectric data for gait analysis TRIPOD - A Treadmill Walking Dataset with IMU, Pressure-distribution and Photoelectric Data for Gait Analysis Quantified Complementary and Alternative Medicine: Convergence of Digital Health Technologies and Complementary and Alternative Medicine 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 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 How We Found Our IMU : Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications How we found our IMU: guidelines to IMU selection and a comparison of seven IMUs for pervasive healthcare applications CARE - extending a digital picture frame with a recommender mode to enhance well-being of elderly people Data Mart Based Research in Heart Surgery : Generating New Knowledge from Daily Clinical Practice Data mart based research in heart surgery Data mart based research in heart surgery

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Katalog der Deutschen Nationalbibliothek

Bert Arnrich

EPIStress: A multimodal dataset of Physiological signals to measure cognitive stress in epilepsy patients

Sensor-based evaluation of intermittent fasting regimes: a machine learning and statistical approach

3D human pose estimation for analyzing movement patterns during physical exercise

90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study

Human activity recognition engineering : developing a pipeline for data collection, modeling, and real-time processing in sensor-based human activity recognition

Leveraging sensors and machine learning to support health: Enhancing sitting posture classification and developing an affective computing approach for healthy eating behaviours

Personalized mobile gait analysis: Towards wearable-based rehabilitation in daily life

Privacy-preserving federated learning: Strengthening data protection and secure collaboration in healthcare

Technological interventions to alleviate alarm fatigue in intensive care medicine : an IT systems approach

Unobtrusive measurement of cognitive load and physiological signals in uncontrolled environments

SONAR, a nursing activity dataset with inertial sensors

DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data

DUO-GAIT: a gait dataset for walking under dual-task and fatigue conditions with inertial measurement units

HPI Future SOC Lab – Proceedings 2019

Towards supporting an early diagnosis of multiple sclerosis using vocal features

Voice Analysis for Neurological Disorder Recognition – A Systematic Review and Perspective on Emerging Trends

Abschlussbericht KI-Labor ITSE : KI-Labor für Methodik, Technik und Ausbildung in der IT-Systemtechnik

PERSIST: a multimodal dataset for the prediction of perceived exertion during resistance training

Voice analysis for neurological disorder recognition – a systematic review and perspective on emerging trends

IMU-Based Movement Trajectory Heatmaps for Human Activity Recognition

Proceedings of the HPI Research School on Service-oriented Systems Engineering 2020 Fall Retreat

Speaking corona? Human and machine recognition of COVID-19 from voice

TRIPOD - a treadmill walking dataset with IMU, pressure-distribution and photoelectric data for gait analysis

TRIPOD - A Treadmill Walking Dataset with IMU, Pressure-distribution and Photoelectric Data for Gait Analysis

Quantified Complementary and Alternative Medicine: Convergence of Digital Health Technologies and Complementary and Alternative Medicine

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

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

How We Found Our IMU : Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications

How we found our IMU: guidelines to IMU selection and a comparison of seven IMUs for pervasive healthcare applications

CARE - extending a digital picture frame with a recommender mode to enhance well-being of elderly people

Data Mart Based Research in Heart Surgery : Generating New Knowledge from Daily Clinical Practice

Data mart based research in heart surgery

Data mart based research in heart surgery