AI-guided chest compressions for personalized CPR

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The study will develop a deep-learning pipeline (YOLO v8–based) that analyzes real-time arterial pressure waveforms and patient data to detect whether chest compressions are compressing the aortic valve. Researchers will collect synchronized transesophageal echocardiography (TEE) video and arterial pressure traces from 150 OHCA patients to train waveform- and compression-location models. An external test of 75 additional patients will validate model predictions against TEE as the gold standard, and a final feasibility phase will deploy a Resuscitation Support App in 30 real clinical CPR episodes. The goal is real-time guidance that shifts compressions off the aortic valve toward positions that maximize cardiac output in individual patients.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Adults aged 20 years or older.
2. Patients with out-of-hospital cardiac arrest (OHCA) undergoing 3.cardiopulmonary resuscitation (CPR) in the emergency department.

Cardiac arrest caused by non-traumatic factors.

Exclusion Criteria:

1. Pregnant patients.
2. Patients with obvious signs of death.
3. Patients with a signed "Do Not Resuscitate" (DNR) order.
4. Patients requiring extracorporeal cardio-pulmonary resuscitation (ECPR).
5. Patients requiring Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA).
6. Cardiac arrest caused by massive hemorrhage, aortic emergencies, tension pneumothorax, cardiac tamponade, or pulmonary embolism.
7. History of severe aortic valve disease or previous aortic valve surgery.
8. Patients for whom TEE or femoral arterial catheterization is contraindicated.
9. Situations where the medical team is unable to perform TEE or femoral arterial catheterization during CPR.

Where it's running

• Far Eastern Memorinal Hospital
  New Taipei City, Banqiao, Taiwan Recruiting

Study contacts

• Study coordinator: Sheng-En Chu, physician
• Email: ianchu300@msn.com
• Phone: 886-2-7728-1843

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.