Development of anesthesia management robot that deeply learns signs of upper airway obstruction and diagnosis/procedure data of anesthesiologist

Development of anesthesia management robot that deeply learns signs of upper airway obstruction and diagnosis/procedure data of anesthesiologist - Development of anesthesia management robot

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000041243

Enrollment

Registered

2020-07-29

Start date

2020-08-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

dentistry

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Twenty adult healthy volunteers (volunteers) who agreed with the explanation of the content of the research plan are targeted.

Exclusion criteria

Exclusion criteria: 1)Patients with serious respiratory illness 2) Patients with serious cardiovascular disease 3)Diabetes patients with poor control 4)Severe renal disorder patient 5)Severe liver disorder patient 6)Patients who have hypersensitivity (allergy) to the drug to be used 7)Patients who are judged to be unsuitable by the research supervisor or the co-workers

Design outcomes

Primary

Measure	Time frame
Item 1: Waveform data of airflow limitation during inspiration and expiration obtained with a nasal mask Item 2: Carbon dioxide data by capnograph with nasal cannula Item 3: Movement data of forehead, temporal region, chin, chest, and abdomen using an acceleration sensor Item 4: Percutaneous arterial oxygen saturation data Item 5: Depth of anesthesia data by BIS monitor and EMG activity Item 6 (Teacher data): Anesthesiologist's determination of upper airway obstruction during sedation and treatment data are created in advance by selective formation, and comments and correspondence are leveled.	—

Measure

Time frame

Item 1: Waveform data of airflow limitation during inspiration and expiration obtained with a nasal mask Item 2: Carbon dioxide data by capnograph with nasal cannula Item 3: Movement data of forehead, temporal region, chin, chest, and abdomen using an acceleration sensor Item 4: Percutaneous arterial oxygen saturation data Item 5: Depth of anesthesia data by BIS monitor and EMG activity Item 6 (Teacher data): Anesthesiologist's determination of upper airway obstruction during sedation and treatment data are created in advance by selective formation, and comments and correspondence are leveled.

—

Countries

Japan

Contacts

Public ContactTakao Ayuse

Nagasaki University Hospital Dental Anesthesiology

ayuse@nagasaki-u.ac.jp81958197713

Outcome results