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Record W4386070853 · doi:10.11159/cist23.145

Real-time Interfacing of a Pneumatically-actuated Finger-thumb Rehabilitation Device

2023· article· en· W4386070853 on OpenAlexaffvenue
Narges Ghobadi, Mohsen Khajoee, Witold Kinsner, Tony Szturm, Nariman Sepehri

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2023
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsThumbInterfacingComputer scienceRehabilitationPneumatic actuatorActuatorMedicineComputer hardwareArtificial intelligencePhysical therapySurgery

Abstract

fetched live from OpenAlex

Rehabilitation of manual dexterity of patients with sensory motor impairments of the upper extremity due to stroke requires task-specific and repetitive exercises to facilitate recovery of a function.Given that patients require a considerable amount of time in therapy, it is essential that the rehabilitation devices are engaging and game-based to prevent the boredom of long-term repetitive task practice exercise regimes.In this study, an easy-to-use finger-thumb mechanism is designed that supports the index and middle fingers, and the thumb for patients with hand injuries.The device is connected to a game wirelessly, allowing patients to interact in real time with engaging computer games using goal-directed thumb and finger movements.The connection is established using two Raspberry Pi boards with the aid of a server-client network.The device also provides assistive-resistive forces during the game to assist or challenge patients depending on the state of their motor control.The slight delay of 10 ms for data transfer and 50 ms for game event updates enables the patients to play the game and modify the game events in real time, using the wearable device.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Electrical Engineering and Computer Systems and ScienceSame topicTeleoperation and Haptic SystemsFrench-language works237,207