Skip to content

Fully automatic arterial stiffness estimation from ultrasound videos based on machine learning

Fully automatic arterial stiffness estimation from ultrasound videos based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20220802006
Enrollment
51
Registered
2022-08-02
Start date
2022-01-31
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Taking Ultrasound videos of the common carotid artery CCA, Signal denoising, auto region-growing video segmenting

Interventions

This group consists of individuals with no historical background.,This group has no historical background and has been described as abnormal.
Screening,Screening
Normal or healthy participants,abnormal participants

Sponsors

College of Education
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
34 Years to 62 Years

Inclusion criteria

Inclusion criteria: Taking Ultrasound videos of the common carotid artery

Exclusion criteria

Exclusion criteria: Participants are clear of any stroke event and intervention for three months.

Design outcomes

Primary

MeasureTime frame
Taking Ultrasound videos 20 minutes Common carotid artery

Secondary

MeasureTime frame
N/A N/A N/A

Countries

Iraq

Contacts

Public ContactHaidar Ismail

Salahadin University/ college of education/ Department of physics

haidar.ismail@su.edu.krd009647504531623

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026