ArticleInternational journal of sports physical therapy2026
From Force Plates to AI: Establishing Validity and Reliability of a 2D AI-Camera System for Quantifying Sit-to-Stand Power Measurement.
Article in International journal of sports physical therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Digital Health Approaches to Geriatric Rehabilitation: A Narrative Paper.Annals of rehabilitation medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMuscle power is a critical determinant of functional capacity and overall health, particularly in aging and athletic populations. The 30-second Sit to Stand Power Test (30STSPT) offers a practical means of assessing lower limb power, yet its widespread clinical adoption is limited by the need for specialized equipment. Emerging technologies, such as 2D Artificial Intelligence (AI)-based camera systems, may offer scalable and accessible alternatives for power assessment. # PURPOSEThe purpose of this study was to determine (1) the concurrent validity against a dual force plate system and (2) the test-retest reliability of a 2D AI-camera for capturing and calculating the muscle power for a 30STSPT. It was hypothesized that the 2D AI-camera would have high test-retest reliability and strong concurrent validity with the power measured by a dual force plate system and inertial measurement unit (IMU). # STUDY DESIGNValidation and reliability study # METHODSA convenience sample of 24 healthy adults (20-55 years) completed two maximal-effort trials of the 30-second Sit-to-Stand Power Test (30STSPT). During each trial, repetitions were counted by research personnel, the AI-based camera system, and the criterion system (dual force plates synchronized with an inertial measurement unit [IMU]). The AI system automatically calculated trial-level mean power (W·kg
resultsA total of 24 individuals (M:F, 9:15) with a mean age of 34.4 ± 9.4 years and an average BMI of 24.9 ± 4.1 kg·m
conclusionThe findings of this study support the use of a 2D AI-camera system as a valid and highly reliable tool for quantifying muscle power during the 30-second Sit to Stand Power Test. The 2D AI-camera system offers a promising solution for scalable, objective performance testing in clinical and remote settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.