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Record W4408609514 · doi:10.1109/tmrb.2025.3552975

Design and Prototyping of a Cable-Driven Parallel Robot for At-Home Upper Extremity Rehabilitation

2025· article· en· W4408609514 on OpenAlex
Shane Forbrigger, Shammas Mohyaddin, Ashkan Rashvand, Andrew Jerabek, Matthew Robertson, Vincent DePaul, Keyvan Hashtrudi-Zaad

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Medical Robotics and Bionics · 2025
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsQuanser (Canada)Queen's University
Fundersnot available
KeywordsRehabilitationRobotRapid prototypingComputer sciencePhysical medicine and rehabilitationEngineeringMedicinePhysical therapyMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

At-home stroke rehabilitation robots could improve access to rehabilitation therapies for stroke survivors. However, as the home is a challenging environment for design, it is essential that such designs are closely linked to stakeholder needs. This paper continues previous work by the authors linking stakeholder needs to the design of an at-home stroke rehabilitation robot for the upper limb. The proposed design is a constrained cable robot with a vertical workspace, capable of supporting and measuring the motion of a stroke survivor’s arm and hand during therapy activities, with a modular end effector design to simulate a variety of activities of daily living. The technical requirements of the design are described and linked to research on therapy activities, activities of daily living, and anthropometry. The kinematic and dynamic requirements for the design are validated in experiments. Potential improvements for the design include adding powered hand modules to assist users with hand impairments, adding a third rotational degree of freedom, and investigating parallel-spring motor designs that could reduce power consumption.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.480
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.246
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it