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Evaluation of AI-Mouse Use in Patients With Hand and Wrist Conditions

10. juli 2026 oppdatert av: Nazarbayev University
People with hand and wrist conditions, such as carpal tunnel syndrome or hand injuries, often experience pain and discomfort when using a computer mouse. This study will evaluate a new artificial intelligence (AI)-assisted computer input system ("AI-mouse") designed to reduce the amount of hand movement needed during computer tasks. Participants will complete short computer-based tasks using both a conventional mouse and the AI-assisted system while researchers measure task performance, muscle activity using surface electromyography (EMG), and participants' ratings of pain, physical strain, and usability. The study aims to determine whether the AI-assisted system can reduce physical effort and muscle load while maintaining effective computer interaction. Findings may help improve accessible computer technologies and support the development of ergonomic tools for people with hand and wrist impairments.

Studieoversikt

Studietype

Intervensjonell

Registrering (Antatt)

15

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studer Kontakt Backup

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen
  • Eldre voksen

Tar imot friske frivillige

Nei

Beskrivelse

Inclusion Criteria:

  • Adults aged 18-65 years
  • Diagnosis of a hand or wrist condition, including carpal tunnel syndrome or hand/wrist injury.
  • Receiving care at the Hand Surgery Department of the National Scientific Center of Traumatology and Orthopedics.
  • Medically stable and assessed by a study physician as able to safely perform light computer-based hand movements.
  • Able to understand the study procedures and provide written informed consent.
  • Normal or corrected-to-normal vision sufficient to complete computer-based tasks.

Exclusion Criteria:

  • Severe pain or acute symptoms that may be aggravated by computer task performance.
  • Postoperative restrictions limiting hand or wrist movement.
  • Severe motor impairment preventing completion of the study tasks.
  • Cognitive or neurological disorders that interfere with understanding study procedures or task performance.
  • Uncorrected visual impairment that interferes with computer use.
  • Any medical condition that, in the opinion of the study physician, would make participation unsafe.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Støttende omsorg
  • Tildeling: Ikke-randomisert
  • Intervensjonsmodell: Crossover-oppdrag
  • Masking: Ingen (Open Label)

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Aktiv komparator: Conventional Mouse
Participants perform standardized computer pointing tasks using a conventional computer mouse. Performance (task completion time, error rate, throughput), surface electromyography (EMG) of upper-limb muscles, and participant-reported outcomes (pain, physical strain, and usability) are assessed during task completion.
A standard computer mouse used for conventional point-and-click interaction. Participants complete the same standardized computer tasks as in the experimental condition, allowing direct comparison of task performance, upper-limb muscle activity measured by surface electromyography (EMG), and participant-reported pain, physical strain, and usability.
Eksperimentell: AI-Mouse (Preview-Accept-Discard [PAD] System)
Participants perform the same standardized computer tasks using the AI-Mouse, a predictive human-computer interaction system based on the Preview-Accept-Discard (PAD) paradigm. The system generates AI-assisted action suggestions that can be accepted or discarded using minimal keyboard input, reducing cursor movement. Performance, surface electromyography (EMG), and participant-reported outcomes (pain, physical strain, and usability) are assessed during task completion.
A non-invasive computer input system that uses artificial intelligence to predict the user's intended on-screen action. Instead of relying primarily on continuous cursor movement and mouse clicking, the system presents predicted actions that participants can preview, accept, or discard using minimal keyboard input. The intervention is designed to reduce repetitive hand movements during computer interaction while preserving user control. Participants complete standardized computer tasks using the system during a single study session lasting less than four minutes.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
APDF90 surface electromyography (sEMG) amplitude
Tidsramme: Baseline (during each intervention condition on Day 1)
90th percentile amplitude probability distribution function (APDF90) of the processed sEMG envelope recorded from selected upper-limb muscles during standardized computer tasks.
Baseline (during each intervention condition on Day 1)
Muscular rest time
Tidsramme: Baseline (during each intervention condition on Day 1)
Percentage of task duration during which the processed sEMG envelope remained below the predefined muscular-rest threshold of 2 µV.
Baseline (during each intervention condition on Day 1)

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Integrated squared dynamic acceleration
Tidsramme: Baseline (during each intervention condition on Day 1)
Cumulative dynamic movement workload measured by tri-axial accelerometry and expressed as integrated squared dynamic acceleration (mG²·s).
Baseline (during each intervention condition on Day 1)
90th percentile dynamic acceleration
Tidsramme: Baseline (during each intervention condition on Day 1)
Peak dynamic movement intensity measured by tri-axial accelerometry and expressed as the 90th percentile of dynamic acceleration (mG).
Baseline (during each intervention condition on Day 1)
Task completion time
Tidsramme: Baseline (during each intervention condition on Day 1)
Time required to complete the standardized computer task using the conventional mouse and the AI-assisted computer input system.
Baseline (during each intervention condition on Day 1)
Error rate
Tidsramme: Baseline (during each intervention condition on Day 1)
Percentage of incorrect target selections during the standardized computer task
Baseline (during each intervention condition on Day 1)
Self-reported pain
Tidsramme: Immediately after each intervention condition on Day 1
Participant-reported hand and wrist pain after completing each intervention condition, assessed using a numeric rating scale
Immediately after each intervention condition on Day 1

Samarbeidspartnere og etterforskere

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Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Antatt)

1. juli 2026

Primær fullføring (Antatt)

1. september 2026

Studiet fullført (Antatt)

1. oktober 2026

Datoer for studieregistrering

Først innsendt

30. juni 2026

Først innsendt som oppfylte QC-kriteriene

10. juli 2026

Først lagt ut (Faktiske)

16. juli 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

16. juli 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

10. juli 2026

Sist bekreftet

1. juli 2026

Mer informasjon

Begreper knyttet til denne studien

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

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