Photogrammetry-based smartphone applications for spinal posture assessment: a systematic review and meta-analysis

Mina Karbalaeimahdi, Hooman Minoonejad, Seyed Hamed Mousavi, Reza Rajabi · 2025

Read Photogrammetry-based smartphone applications for spinal posture assessment: a systematic review and meta-analysis by Mina Karbalaeimahdi, Hooman Minoonejad, Seyed Hamed Mousavi, Reza Rajabi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12827935.txt.

Description

Mina Karbalaeimahdi, Hooman Minoonejad, Seyed Hamed Mousavi, and Reza Rajabi review phone apps that judge spinal posture from photos in a 2025 paper. Such apps could make posture checks cheap and portable, but their accuracy needs proof. The team gathered studies that built or tested photo-based posture apps.

Twenty-nine studies with about nineteen hundred participants met the rules. For the angle between head and spine, repeat and cross-rater reliability were both excellent. Other measures, such as hip and head tilt, ranged from moderate to excellent. Small samples and uneven reporting temper the verdict. On balance, the authors support clinical use of these apps while urging better study standards.

Catalog record

CREATORMina Karbalaeimahdi, Hooman Minoonejad, Seyed Hamed Mousavi, Reza Rajabi
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE86 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12827935

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