Validation of the shoulder range of motion software for measurement of shoulder ranges of motion in consultation: coupling a red/green/blue-depth video camera to artificial intelligence-Reference-Cited by-同舟云学术

Validation of the shoulder range of motion software for measurement of shoulder ranges of motion in consultation: coupling a red/green/blue-depth video camera to artificial intelligence

Published:2022-12-27 Issue:2 Volume:47 Page:299-307
ISSN:0341-2695
Container-title:International Orthopaedics
language:en
Short-container-title:International Orthopaedics (SICOT)

Author:

Gauci Marc-Olivier^ORCID,Olmos Manuel,Cointat Caroline^ORCID,Chammas Pierre-Emmanuel,Urvoy Manuel^ORCID,Murienne Albert^ORCID,Bronsard Nicolas^ORCID,Gonzalez Jean-François^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00264-022-05675-9.pdf

Reference19 articles.

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3. Mullaney MJ, McHugh MP, Johnson CP, Tyler TF (2010) Reliability of shoulder range of motion comparing a goniometer to a digital level. Physiother Theory Pract 26:327–333. https://doi.org/10.3109/09593980903094230

4. Riddle DL, Rothstein JM, Lamb RL (1987) Goniometric reliability in a clinical setting. Shoulder measurements. Phys Ther 67:668–673. https://doi.org/10.1093/ptj/67.5.668

5. Williams JG, Callaghan M (1990) Comparison of visual estimation and goniometry in determination of a shoulder joint angle. Physiotherapy 76:655–657. https://doi.org/10.1016/S0031-9406(10)63103-3

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