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Construction and verification of an algorithm model for predicting muscle relaxation depth from video laryngeal mask images based on deep learning

Construction and verification of an algorithm model for predicting muscle relaxation depth from video laryngeal mask images based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500101533
Enrollment
Unknown
Registered
2025-04-25
Start date
2025-04-28
Completion date
Unknown
Last updated
2025-04-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None

Interventions

Observation group:None

Sponsors

Bejing Tongren Hospital, Capital Medical Uniersity
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.Patients undergoing otorhinolaryngological surgery under general anesthesia (in the supine position of the head) who require the insertion of a laryngeal mask. 2.Patients aged between 18 and 75 years old. 3.ASA(American Society of Anesthesiologists)I~ III; 4.Body mass index (BMI)18~30 kg/m^2; 5.Voluntarily sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1.Patients who refuse to participate in the study. 2.Patients who have participated in other clinical studies within the past 3 months. 3.Patients with relative contraindications to the use of a laryngeal mask (including those with a full stomach and high risk of reflux and aspiration, congenital or acquired airway structural abnormalities, and a history of previous laryngeal mask failure). 4.Patients with neurological or neuromuscular disorders that affect the function of the ulnar nerve (including damage to the postsynaptic membrane receptors such as myasthenia gravis; impairment of acetylcholine release at the presynaptic membrane such as botulinum toxin poisoning; destruction of acetylcholine in the synaptic cleft caused by drugs or neurotoxins; diagnosed with diabetic peripheral neuropathy; and ulnar nerve dysfunction in the tested hand due to trauma or sequelae). 5.Patients who have continuously taken drugs that affect normal neuromuscular transmission for more than one month (based on the drug's instructions). 6.Patients with electronic implantable devices such as pacemakers. 7.Pregnant and breastfeeding women.

Design outcomes

Primary

MeasureTime frame
Area Under the Curve;

Countries

China

Contacts

Public ContactGuyan Wang

Bejing Tongren Hospital, Capital Medical Uniersity

guyanwang2006@163.com+86 13910985139

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026