DVS Edition Citation

Panebianco, G. P., Bisi, M. C., Stagni, R & Fantozzi, S. (2018). 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. Gait and Posture, 66 , 76-82. Zugriff am 15.06.2020 unter https://doi.org/10.1016/j.gaitpost.2018.08.025

APA (7th ed.) Citation

Panebianco, G. P., Bisi, M. C., Stagni, R., & Fantozzi, S. (2018). 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. Gait and Posture, 66, 76-82.

Chicago Style (17th ed.) Citation

Panebianco, G. P., M. C. Bisi, R. Stagni, and S. 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." Gait and Posture 66 (2018): 76-82.

MLA (9th ed.) Citation

Panebianco, G. P., et al. "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." Gait and Posture, vol. 66, 2018, pp. 76-82.