Autor der Publikation

Kopieren Löschen Diese Publikation zur Ablage hinzufügen
Community-Eintrag
Versionsverlauf dieses Eintrags
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.

W. Zhang, M. Schwenk, S. Mellone, A. Paraschiv-Ionescu, B. Vereijken, M. Pijnappels, A. Mikolaizak, E. Boulton, N. Jonkman, A. Maier, J. Klenk, J. Helbostad, K. Taraldsen, und K. Aminian. Sensors, 18 (7): 2032 (2018)

Bitte wählen Sie eine Person um die Publikation zuzuordnen

Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Christian León University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

An Exergame Concept for Improving Balance in Elderly People.A. Nawaz, M. Waerstad, K. Omholt, J. Helbostad, B. Vereijken, N. Skjæret, und L. Kristiansen. REHAB, Volume 515 von Communications in Computer and Information Science, Seite 55-67. Springer, (2014)Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor.A. Bourke, E. Ihlen, P. van de Ven, J. Nelson, und J. Helbostad. EMBC, Seite 4881-4884. IEEE, (2016)A Physical Activity Reference Data-Set Recorded from Older Adults Using Body-Worn Inertial Sensors and Video Technology - The ADAPT Study Data-Set.A. Bourke, E. Ihlen, R. Bergquist, P. Wik, B. Vereijken, und J. Helbostad. Sensors, 17 (3): 559 (2017)Physical Activity Classification for Elderly People in Free-Living Conditions.M. Awais, L. Chiari, E. Ihlen, J. Helbostad, und L. Palmerini. IEEE J. Biomedical and Health Informatics, 23 (1): 197-207 (2019)Recommendations for Standardizing Validation Procedures Assessing Physical Activity of Older Persons by Monitoring Body Postures and Movements.U. Lindemann, W. Zijlstra, K. Aminian, S. Chastin, E. de Bruin, J. Helbostad, und J. Bussmann. Sensors, 14 (1): 1267-1277 (2014)Designing simplified exergame for muscle and balance training in seniors: a concept of 'out in nature'.A. Nawaz, M. Waerstad, K. Omholt, J. Helbostad, B. Vereijken, N. Skjæret, und L. Kristiansen. PervasiveHealth, Seite 309-312. ICST, (2014)Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population.A. Bourke, J. Klenk, L. Schwickert, K. Aminian, E. Ihlen, J. Helbostad, L. Chiari, und C. Becker. EMBC, Seite 5183-5186. IEEE, (2015)Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.M. Awais, L. Palmerini, A. Bourke, E. Ihlen, J. Helbostad, und L. Chiari. Sensors, 16 (12): 2105 (2016)Stakeholder Attitudes Toward and Values Embedded in a Sensor-Enhanced Personal Emergency Response System.Y. Dahl, B. Farshchian, T. Vilarinho, J. Helbostad, A. Nawaz, A. Nygård, und P. Wik. Interacting with Computers, 28 (5): 598-611 (2016)Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.W. Zhang, M. Schwenk, S. Mellone, A. Paraschiv-Ionescu, B. Vereijken, M. Pijnappels, A. Mikolaizak, E. Boulton, N. Jonkman, A. Maier und 4 andere Autor(en). Sensors, 18 (7): 2032 (2018)