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NCT05813613
Role of Artificial Intelligence in Predicting Muscle Fatigue Using Virtual Reality Training
trial testing Squatting with the aid of Kynapsis Virtual Training apparatus. in Fatigue in 90 participants. Completed in 7 June 2023.
1 June 2023
Quick facts
| Lead sponsor | Beirut Arab University |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 90 |
| Start date | 15 April 2023 |
| Primary completion | 1 June 2023 |
| Estimated completion | 7 June 2023 |
| Sites | 1 location across Lebanon |
Drugs / interventions tested
- Squatting with the aid of Kynapsis Virtual Training apparatus.
Conditions studied
- Fatigue — all drugs for Fatigue →
Sponsor
Beirut Arab University
Who can join
Adults 18 to 49, any sex, with Fatigue. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational predicted study is to predict muscle fatigue using a specific AI algorithm in healthy vs post Covid-19 infected individuals. The main question it aims to answer is: Can Artificial Intelligence be used as a reliable source of predicting localized muscle fatigue in healthy vs post Covid-19 infected individuals? Participants will be divided into two groups: A healthy group and a post Covid-19 group. * Each group will undergo a familiarization process before the start of the exercises. * Then, each group will perform squatting exercises guided by the kynpasis virtual reality apparatus. * sEMG for the vastus lateralis and rectus femories, chest expansion, and goniometric measurements of the knee will be taken during different reported fatigue levels using the Biopac system. * Groups will continue squatting while recording their subjective fatigue levels using the Borg scale. * Data will then be run through machine learning processes to produce an AI algorithm capable of predicting isolated muscle fatigue.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT05813613
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Other Beirut Arab University trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05813613 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Beirut Arab University
- Last refreshed: 9 June 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05813613.
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