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Ganganalyse (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Ganganalyse" in German language version.

refsWebsite
Global rank German rank
7doi.org
2nd place
3rd place
4mdpi.com
2,912th place
1,242nd place
2zdb-katalog.de
123rd place
6th place
1ieee.org
652nd place
864th place
1sciencedirect.com
149th place
298th place
1nzz.ch
687th place
41st place

doi.org

  • Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, Axel Gräser: Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis. In: 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP). Oktober 2016, S. 93–98, doi:10.1109/ICFSP.2016.7802963 (ieee.org [abgerufen am 18. Juli 2020]).
  • Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band 66, 1. Oktober 2018, ISSN 0966-6362, S. 76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).
  • Jung-Ah Lee, Sang-Hyun Cho, Young-Jae Lee, Heui-Kyung Yang, Jeong-Whan Lee: Portable Activity Monitoring System for Temporal Parameters of Gait Cycles. In: Journal of Medical Systems. Band 34, Nr. 5, 1. Oktober 2010, ISSN 1573-689X, S. 959–966, doi:10.1007/s10916-009-9311-8.
  • Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, Samuel Schülein, Heiko Gassner: Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. In: Sensors. Band 15, Nr. 3, 2015, S. 6419–6440, doi:10.3390/s150306419 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Sebastijan Šprager, Matjaž B. Jurič: Robust Stride Segmentation of Inertial Signals Based on Local Cyclicity Estimation. In: Sensors. Band 18, Nr. 4, 2018, S. 1091, doi:10.3390/s18041091 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gaßner, Meinard Müller: Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. In: Sensors. Band 18, Nr. 1, 2018, S. 145, doi:10.3390/s18010145 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken: Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. In: Sensors. Band 17, Nr. 9, 2017, S. 1940, doi:10.3390/s17091940 (mdpi.com [abgerufen am 18. Juli 2020]).

ieee.org

ieeexplore.ieee.org

  • Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, Axel Gräser: Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis. In: 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP). Oktober 2016, S. 93–98, doi:10.1109/ICFSP.2016.7802963 (ieee.org [abgerufen am 18. Juli 2020]).

mdpi.com

  • Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, Samuel Schülein, Heiko Gassner: Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. In: Sensors. Band 15, Nr. 3, 2015, S. 6419–6440, doi:10.3390/s150306419 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Sebastijan Šprager, Matjaž B. Jurič: Robust Stride Segmentation of Inertial Signals Based on Local Cyclicity Estimation. In: Sensors. Band 18, Nr. 4, 2018, S. 1091, doi:10.3390/s18041091 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gaßner, Meinard Müller: Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. In: Sensors. Band 18, Nr. 1, 2018, S. 145, doi:10.3390/s18010145 (mdpi.com [abgerufen am 18. Juli 2020]).
  • Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken: Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. In: Sensors. Band 17, Nr. 9, 2017, S. 1940, doi:10.3390/s17091940 (mdpi.com [abgerufen am 18. Juli 2020]).

nzz.ch

sciencedirect.com

  • Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band 66, 1. Oktober 2018, ISSN 0966-6362, S. 76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).

zdb-katalog.de

  • Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band 66, 1. Oktober 2018, ISSN 0966-6362, S. 76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).
  • Jung-Ah Lee, Sang-Hyun Cho, Young-Jae Lee, Heui-Kyung Yang, Jeong-Whan Lee: Portable Activity Monitoring System for Temporal Parameters of Gait Cycles. In: Journal of Medical Systems. Band 34, Nr. 5, 1. Oktober 2010, ISSN 1573-689X, S. 959–966, doi:10.1007/s10916-009-9311-8.