Atrial Fibrillation
Conditions
Keywords
Cardiovascular diseases, Heart Diseases, Arrhythmia, Cardiac
Brief summary
Atrial fibrillation (AFib) is a common type of cardiac arrhythmia in clinical practice, affecting millions of people worldwide. Early detection and treatment of atrial fibrillation are crucial in preventing serious complications such as stroke and heart failure. In recent years, with the flourishing development of wearable devices and mobile technology, electrocardiogram (ECG) measurement applications embedded in smartwatches have gradually become a non-invasive and convenient method for heart rate monitoring. However, the accuracy of these devices has not yet been fully determined. This study aims to verify the ECG measurement and atrial fibrillation detection function of the ASUS ECG App. The accuracy of the ECG application in detecting atrial fibrillation and measuring ECG will be evaluated by comparison with standard 12-lead ECGs.
Detailed description
This study plans to recruit 602 adults over the age of 18. All participants will undergo heart rate measurements using both the smartwatch ECG application and the 12-lead ECG. The heart rate measurement using the ECG application will be operated by the participants themselves under the guidance of the testing personnel. The 12-lead ECG will be operated by trained medical professionals. The results of the heart rate measurement from both devices will be recorded synchronously, and the consistency of heart rate interpretation and ECG waveforms between the smartwatch ECG application and the 12-lead ECG measurement will be compared to verify the accuracy of the ECG application.
Interventions
DEVICEASUS ECG App
The procedure will commence with instructing the participants to become acquainted with the ASUS ECG App. Following this introduction, participants will be asked to sit quietly for a 5-minute resting period before undergoing a 12-lead ECG recording, which will last for approximately 30 seconds. The participant will be guided to simultaneously record a separate single-lead ECG using the ASUS ECG App. Both data streams will be synced together by the Study Staff. Each participant will undergo a total of three trials involving the simultaneous recording of a 12-lead ECG and a single-lead ECG using the ASUS ECG App.
Sponsors
Taipei Medical University Hospital
ASUSTek Computer INC.
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
Yes
Inclusion criteria
* Willing and able to participate in the study procedures as described in the consent form * Able to communicate effectively with and follow instructions from the study staff * Subjects enrolled into No\_AFib\_Group must have no known medical history of AFib and in normal sinus rhythm at the time of screening. * Subjects enrolled into AFib\_Group must have a known diagnosis of persistent or permanent AFib and be in AFib at the time of screening.
Exclusion criteria
* Physical disability that precludes safe and adequate testing. * Mental impairment as determined by the Investigator. * Pregnant women at the time of the screening visit. * Subjects with any Medical History, Physical exam, vital sign or any other study procedure finding/assessment that in the opinion of the investigator could compromise subject safety during study participation or interfere with the study integrity and/or the accurate assessment of the study objectives. This includes patients with known untreated medical conditions that are considered clinically significant by the Investigator, such as but not limited to significant anemia, important electrolyte imbalance and untreated or uncontrolled thyroid disease. * Physical exam limitations include but not limited to open wound(s) on the wrist and forearm where the subject will be wearing the watch. * Any history of wrist surgery with scarring in the area of the sensor location on the wrist where the subject will be wearing the watch. * Vital signs measurement, medical history, or physical exam finding that makes the subject inappropriate for participation according to the Investigator. * Tattoos or moles in the area of the sensor location on the wrist where the subject will be wearing the watch. * Skin conditions on either wrist that would preclude subject from wearing watch on either wrist. Severe symptomatic(or active) overly dry/injured skin, skin disorders, or allergic skin reactions such as eczema, rosacea, impetigo,dermatomyositis or allergic contact dermatitis on wrist and locations where the electrodes will be placed (e.g. chest,forearms, stomach), as determined by the investigator. * Known allergy or significant sensitivity to medical adhesives, isopropyl alcohol, or ECG patch. * Clinically significant hand tremors as judged by the Investigator. * Subjects with implanted cardiac devices such as a Pacemaker or an automated Implantable Cardioverter-Defibrillator.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and Specificity | One day | Sensitivity and specificity of the ASUS ECG App in detecting AFib compared with physician-adjudicated 12-lead ECG will be calculated. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Equivalence of the ECG app waveform to Lead I from a 12-lead ECG | One day | Equivalence of the ECG app waveform to Lead I from a 12-lead ECG as measured by acceptable morphology of PQRST complexes and R-Wave amplitude agreement |
Outcome results
None listed