Evidence map›Paper›PMID 40980487›Full record

ArticleComputational and structural biotechnology journal2025

CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation.

Ummi K Latif, Georgi V Georgiev

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ummi K LatifCenter for Ubiquitous Computing, University of Oulu, Oulu, 90570, Northern Ostrobothnia, Finland.
Georgi V GeorgievCenter for Ubiquitous Computing, University of Oulu, Oulu, 90570, Northern Ostrobothnia, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces CKATool, the Clinical Kinematic Analysis Toolbox, a Python-based tool for analyzing upper limb movement using 3D motion tracking data. CKATool implements a comprehensive set of commonly used kinematic metrics in rehabilitation and movement science, organized into six domains: speed, smoothness, efficiency, accuracy, control strategy, and joint range of motion. Each metric is implemented as a separate function, allowing users to easily apply, modify, or extend the analysis based on specific research or clinical needs. CKATool integrates the Rerun platform for fast, interactive 3D visualization of joint trajectories and metric outcomes. The toolbox was evaluated using three publicly available datasets: Arm-CODA, 3D-ARM-Gaze, and IntelliRehabDS, spanning both structured and naturalistic upper limb tasks. CKATool successfully processed and visualized all datasets, demonstrating its compatibility with different types of experiments and rehabilitation setups. The source code, documentation, and data formatting scripts are freely available to support open and reproducible research.

Indexed as

Kinematic analysisSoftwareToolboxUpper-limb assessment

Identifiers

PMID40980487
PMCPMC12444156

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.