Assessment of a new algorithm to detect atrial fibrillation in home blood pressure monitoring device among healthy adults and patients with atrial fibrillation.
Tomonori WatanabeNaoko TomitaniNobuhiko YasuiTomoyuki KabutoyaKazuomi KarioKazuomi KarioPublished in: Journal of clinical hypertension (Greenwich, Conn.) (2021)
The authors evaluated the diagnostic accuracy of a new algorithm for detecting atrial fibrillation (AF) using a home blood pressure (BP) monitor. Three serial BP values were measured in 205 subjects with sinus rhythm and 75 subjects with AF confirmed by electrocardiogram. Irregular pulse peak (IPP) 15 was defined as follows: |interval of pulse peak - the average of the interval of the pulse peak| ≥ the average of the interval of the pulse peak × 15%. Irregular heartbeat (IHB) was defined as follows: beats of IPP ≥ total pulse × 20%. The sensitivities of IPP15 for diagnosing AF defined as two or three IHBs of three readings were 1.0 and 0.99, and the corresponding specificities were 0.97 and 0.99, respectively. The algorithm using two or more IHBs of three readings in the setting of IPP15 had the highest diagnostic accuracy for AF.
Keyphrases
- atrial fibrillation
- blood pressure
- oral anticoagulants
- hypertensive patients
- left atrial
- catheter ablation
- heart rate
- left atrial appendage
- machine learning
- direct oral anticoagulants
- deep learning
- heart failure
- healthcare
- percutaneous coronary intervention
- blood glucose
- coronary artery disease
- neural network
- metabolic syndrome
- adipose tissue
- venous thromboembolism