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Jochen Klenk

Showing results (81-90 of 136) with videos related to

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Age and Ageing|March 12, 2021
Association between everyday walking activity, objective and perceived risk of falling in older adultsCarl-Philipp Jansen, Jochen Klenk, Corinna Nerz, et al.
Plos One|July 6, 2017
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasetsOmar Aziz, Jochen Klenk, Lars Schwickert, et al.
Clinical Chemistry|November 28, 2007
Serum uric acid and risk of cardiovascular mortality: a prospective long-term study of 83,683 Austrian menAlexander Strasak, Elfriede Ruttmann, Larry Brant, et al.
Sensors (Basel, Switzerland)|August 28, 2025
Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor DataThomas Derya Kocar, Simone Brefka, Christoph Leinert, et al.
Journal of the American Medical Directors Association|October 9, 2021
Cost-Effectiveness of a Group vs Individually Delivered Exercise Program in Community-Dwelling Persons Aged ≥70 YearsSophie Gottschalk, Hans-Helmut König, Michael Schwenk, et al.
Age and Ageing|March 21, 2012
Femoral fracture rates in people with and without disabilityKilian Rapp, Clemens Becker, Ian D Cameron, et al.
Journal of Aging and Physical Activity|February 10, 2021
Applying Social Cognition Models to Explain Walking Duration in Older Adults: The Role of Intrinsic MotivationSarah Labudek, Lena Fleig, Carl-Philipp Jansen, et al.
Scientific Reports|July 1, 2017
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitusZhi Yang Tam, Sean Pin Ng, Ling Qiao Tan, et al.
Aging Clinical and Experimental Research|June 2, 2016
Right ventricular function assessed by tissue Doppler echocardiography in older subjects without evidence for structural cardiac diseaseRoman Laszlo, Tobias Baumann, Hanna Konz, et al.
Sensors (Basel, Switzerland)|April 30, 2021
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time WarpingKim S Sczuka, Marc Schneider, Alan K Bourke, et al.
Pageof 14

Showing results (81-90 of 136) with videos related to

Sort By:
Pageof 14
Age and Ageing|March 12, 2021
Association between everyday walking activity, objective and perceived risk of falling in older adultsCarl-Philipp Jansen, Jochen Klenk, Corinna Nerz, et al.
Plos One|July 6, 2017
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasetsOmar Aziz, Jochen Klenk, Lars Schwickert, et al.
Clinical Chemistry|November 28, 2007
Serum uric acid and risk of cardiovascular mortality: a prospective long-term study of 83,683 Austrian menAlexander Strasak, Elfriede Ruttmann, Larry Brant, et al.
Sensors (Basel, Switzerland)|August 28, 2025
Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor DataThomas Derya Kocar, Simone Brefka, Christoph Leinert, et al.
Journal of the American Medical Directors Association|October 9, 2021
Cost-Effectiveness of a Group vs Individually Delivered Exercise Program in Community-Dwelling Persons Aged ≥70 YearsSophie Gottschalk, Hans-Helmut König, Michael Schwenk, et al.
Age and Ageing|March 21, 2012
Femoral fracture rates in people with and without disabilityKilian Rapp, Clemens Becker, Ian D Cameron, et al.
Journal of Aging and Physical Activity|February 10, 2021
Applying Social Cognition Models to Explain Walking Duration in Older Adults: The Role of Intrinsic MotivationSarah Labudek, Lena Fleig, Carl-Philipp Jansen, et al.
Scientific Reports|July 1, 2017
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitusZhi Yang Tam, Sean Pin Ng, Ling Qiao Tan, et al.
Aging Clinical and Experimental Research|June 2, 2016
Right ventricular function assessed by tissue Doppler echocardiography in older subjects without evidence for structural cardiac diseaseRoman Laszlo, Tobias Baumann, Hanna Konz, et al.
Sensors (Basel, Switzerland)|April 30, 2021
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time WarpingKim S Sczuka, Marc Schneider, Alan K Bourke, et al.
Pageof 14