Robot-Assisted Gait Self-Training: Assessing the Level Achieved.

Scheidig A, Schütz B, Trinh TQ, Vorndran A, Mayfarth A, Sternitzke C, Röhner E, Gross HM

Open source

DOI
10.3390/s21186213
Published
2021 Sep 16
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s21186213,
  title = {Robot-Assisted Gait Self-Training: Assessing the Level Achieved.},
  author = {Scheidig A and Schütz B and Trinh TQ and Vorndran A and Mayfarth A and Sternitzke C and Röhner E and Gross HM},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21186213},
  url = {https://doi.org/10.3390/s21186213}
}

RIS

TY  - JOUR
TI  - Robot-Assisted Gait Self-Training: Assessing the Level Achieved.
AU  - Scheidig A
AU  - Schütz B
AU  - Trinh TQ
AU  - Vorndran A
AU  - Mayfarth A
AU  - Sternitzke C
AU  - Röhner E
AU  - Gross HM
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21186213
UR  - https://doi.org/10.3390/s21186213
ER  -

APA

A, S., B, S., TQ, T., A, V., A, M., C, S., E, R., & HM, G. (2021). Robot-Assisted Gait Self-Training: Assessing the Level Achieved.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21186213

Source records