- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01824212
Recognizing Ventricular Fibrillation From an Area of a Mobile Phone
Recognition of out of hospital cardiac arrest (OHCA) during an emergency call is based on standardized questions concerning the symptoms of OHCA. With this method cardiac arrest is recognized in 50-83% of cases. When the emergency medical dispatcher identifies cardiac arrest during the emergency call the survival of the patient improves. Accurate emergency medical service response is activated promptly and bystander will receive cardiopulmonary resuscitation (CPR) instructions. It has been estimated that proper implementation of CPR instructions will save thousands of lives each year.
If the ECG could be recorded by the mobile phone, transmitted during the emergency call to the dispatch centre and analysed there with the software of a semi-automated external defibrillator(AED), the recognition of cardiac arrest could be more accurate.
The aim of this study is to examine, if AED, with minimal size electrodes within an area of a mobile phone, is able to recognize reliably ventricular fibrillation (VF), the rhythm with the best prognosis in OHCA.
Study Overview
Status
Conditions
Detailed Description
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Joensuu, Finland, 80210
- North Karelia Central Hospital
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Kuopio, Finland, 70211
- Kuopio University Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- age over 18
- ventricular fibrillation will be induced during the implantation or revision of ICD
- patient's informed consent
Exclusion Criteria:
- ventricular fibrillation will not be induced during the implantation or revision of ICD
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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ICD-patients
Patients to whom cardiac fibrillation will be induced during the implantation of an implantable cardioverter defibrillator (ICD) or patients with an already implanted ICD, which function needs to be revised and during the revision cardiac defibrillation will be induced.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The ability of AED to recognise induced VF
Time Frame: 24 hours
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The ability of AED to correctly recognise ventricular fibrillation from a bipolar ECG recorded within an area of mobile phone: is the recognition good enough to automatically divide the rhythm correctly into categories of shockable and non-shockable?
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24 hours
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Quality of VF
Time Frame: 24 hour
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The recorded rhythms will be analysed, beside an AED, by two experienced cardiologists and categorised as shockable or non-shockable.
The cardiologists also will assess the quality of the recordings and grade each recording according to three categories of quality: 1, bad; 2, average; 3, good.
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24 hour
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Director: Helena Jäntti, MD, PhD, Kuopio University Hospital
- Principal Investigator: Sakari Syväoja, MD, North Karelia Central Hospital
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- NKCHAne001
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