Deep neural network based on HRV multiscale sample entropy features and BIS index for predicting anesthesia depth

eep neural network based on HRV multiscale sample entropy features and BIS index for predicting anesthesia depth

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400087212

Enrollment

Unknown

Registered

2024-07-23

Start date

2024-08-01

Completion date

Unknown

Last updated

2024-07-29

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

Conditions

depth of anesthesia

Interventions

Observational Group:NA

Eligibility

Sex/Gender

All

Age

20 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Aged 20 to 65 years old; 2. ASA classification: ?~?.

Exclusion criteria

Exclusion criteria: 1. Suffers from neurological diseases; 2. With cardiovascular disease; 3. Patients with a history of anaesthetic allergy.

Design outcomes

Secondary

Measure	Time frame
Recall;Precision;	—

Primary

Measure	Time frame
Accuracy;	—

Countries

China

Contacts

Public ContactZhan Jian

Affiliated Hospital of Southwest Medical University

zhanjian985823@163.com+86 135 5166 6643

Outcome results

None listed

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