Pattern recognition in heart rate variability using fitness trackers in cardiovascular diseases.

Recruiting

Conditions: kunstmatige intelligentie
atrial fibrillation
heart failure
10007521

Registration Number: NL-OMON53999

Lead Sponsor: HagaZiekenhuis

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Recruiting

Sex: Not specified

Target Recruitment: 200

Inclusion Criteria

In order to be eligible to participate in this study, a subject must meet all
of the following criteria:
- Study participants who are 18 years or older.
Group 1: Study participants who are diagnosed with permanent atrial
fibrillation.
Group 2: Study participants with systolic heart failure (LVEF < 35%) with an
implantable car-diac device without documented atrial fibrillation.
Group 3: Healthy individuals, with a normal electrocardiogram

Exclusion Criteria

A potential study subject who meets any of the following criteria will be
excluded from participation in this study:
- paroxysmal or persistent atrial fibrillation
- Elderly study participants > 85 years old
- Recent pulmonary venous antrum isolation (PVAI) procedure (< 1 year)
- (end stage) Kidney failure
- (end stage) Liver failure
- Study participants with a history of cardiothoracic surgery
- Study participants with a history of multiple myocardial infarction
- Study participants with known systemic active inflammatory disease
- Study participants with impaired mental state
- Alternation in rhythm medication (Monthly)
- Inability to use a fitness tracker or mobile phone
- Impaired cognition and inability to understand the study protocol
- Study subject with known metastatic disease

Study & Design

Study Type: Observational non invasive

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The primary objective of this study is to detect HRV patterns which are related<br /><br>to cardiovas-cular disease such as permanent atrial fibrillation or<br /><br>(congestive) heart failure using a weara-ble fitness tracker.</p><br>

Secondary Outcome Measures