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2020 – today
- 2023
[j11]Ulrich Lindemann, Jana Krespach, Urban Daub, Marc Schneider, Kim S. Sczuka
, Jochen Klenk:
Effect of a Passive Exosuit on Sit-to-Stand Performance in Geriatric Patients Measured by Body-Worn Sensors - A Pilot Study. Sensors 23(2): 1032 (2023)- [j10]Marcin Orzechowski, Tobias Skuban-Eiseler, Anna Ajlani, Ulrich Lindemann, Jochen Klenk, Florian Steger:
User Perspectives of Geriatric German Patients on Smart Sensor Technology in Healthcare. Sensors 23(22): 9124 (2023) - 2022
- [j9]Jochen Klenk, Alassane Ba, Kim S. Sczuka, Urban Daub, Ulrich Lindemann:
Assessment of Thigh Angular Velocity by an Activity Monitor to Describe Sit-to-Stand Performance. Sensors 22(4): 1405 (2022) - 2021
- [j8]Kim S. Sczuka, Marc Schneider, Alan K. Bourke, Sabato Mellone, Ngaire Kerse, Jorunn L. Helbostad, Clemens Becker, Jochen Klenk:
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping. Sensors 21(8): 2601 (2021) - 2020
- [j7]Luca Palmerini, Jochen Klenk, Clemens Becker, Lorenzo Chiari:
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls. Sensors 20(22): 6479 (2020)
2010 – 2019
- 2019
- [j6]Mingxu Sun, James D. Amor, Christopher J. James, Eleonora Costamagna, Sibylle B. Thies, Ulrich Lindemann, Jochen Klenk, Laurence P. J. Kenney:
Methods to Characterize the Real-World Use of Rollators Using Inertial Sensors-A Feasibility Study. IEEE Access 7: 71387-71397 (2019) - [j5]Jochen Klenk, Sebastian Wekenmann, Lars Schwickert, Ulrich Lindemann, Clemens Becker, Kilian Rapp:
Change of Objectively-Measured Physical Activity during Geriatric Rehabilitation. Sensors 19(24): 5451 (2019) - 2018
- [j4]Wei Zhang, Michael Schwenk, Sabato Mellone, Anisoara Paraschiv-Ionescu, Beatrix Vereijken, Mirjam Pijnappels, A. Stefanie Mikolaizak, Elisabeth Boulton, Nini H. Jonkman, Andrea B. Maier, Jochen Klenk, Jorunn L. Helbostad, Kristin Taraldsen, Kamiar Aminian:
Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults. Sensors 18(7): 2032 (2018) - [j3]Robert W. Broadley, Jochen Klenk, Sibylle B. Thies, Laurence P. J. Kenney, Malcolm H. Granat:
Methods for the Real-World Evaluation of Fall Detection Technology: A Scoping Review. Sensors 18(7): 2060 (2018) - 2016
- [j2]Lars Schwickert, Ronald Boos, Jochen Klenk, Alan Bourke, Clemens Becker, Wiebren Zijlstra:
Inertial Sensor Based Analysis of Lie-to-Stand Transfers in Younger and Older Adults. Sensors 16(8): 1277 (2016) - [c2]Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Sabato Mellone, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker:
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach. EMBC 2016: 3712-3715 - 2015
- [j1]Luca Palmerini, Fabio Bagalà, Andrea Zanetti, Jochen Klenk, Clemens Becker, Angelo Cappello:
A Wavelet-Based Approach to Fall Detection. Sensors 15(5): 11575-11586 (2015) - [c1]Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker:
Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population. EMBC 2015: 5183-5186
Coauthor Index
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