Kinetic™ AF ECG Algorithm

AF ECG Algorithm

The Kinetic™ AF ECG Algorithm is designed to be embedded into a device or software suite to provide identification of Atrial Fibrillation/Flutter. The unique design of Kinetic™ AF allows it to be used in ambulatory devices using very small microcontrollers, but still have unparalleled performance to correctly identify AF, with a minimum of false positives.

Atrial Fibrillation is one of the most common arrhythmias, but is often difficult to accurately characterize with an automatic algorithm due to the changing waveform morphology, system or muscle noise. The algorithm addresses the limitations of software size in an ambulatory monitor. Because Kinetic™ AF recognizes the QRS by its intrinsic properties, the code size can be minimized, allowing it to be used in very small devices.

US Atrial Fibrillation Facts
Affects 2.2 million Adults (1,2)
Most sustained heart rhythm disturbance in clinical practice (3)
The rate of AF increases with age, from less than 1% among persons aged less than 60, to 10% among persons greater than 80 (4)
The frequency with which AF is reported on death certificates as a contributing cause of death has increased since 1980 (5)

Kinetic™ AF uses a proprietary method for AF detection, and also identifies bradycardia, tachycardia, and pause. The ability to identify all of these rhythms in a small microcontroller makes the Kinetic™ AF ECG Algorithm ideal for embedded ambulatory applications.

Kinetic AF is designed for applications where clinical and technical performance are critical. It can run on any brand of microprocessor using at least 200s/s. It requires only 5 KB RAM for the program, data, and library. As an example, on a commonly used microprocessor with 20 MHz clock set, 8 KB RAM, and 16-bit resolution, it processes each 1 second of ECG data in 10 ms. The processing time is linear to the clock set, so if the clock was set to 40 MHz, the processing time would be 5 ms.

In a recent study using a dataset of 250 records taken from an ambulatory monitoring device and interpreted by 3 Electrophysiologists, Kinetic™ AF provided excellent clinical results. 

Kinetic™ AF Performance

Table Definitions

  1. Feinberg WM, Blackshear JL, Laupacis A, Kronmal R, Hart RG. Prevalence, age distribution, and gender of patients with atrial fibrillation. Arch Intern Med 1995;155:469–73.
  2. Go AS, Hylek EM, Phillips KA, et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the Anticoagulation and Risk Factors in AF (ATRIA) Study. JAMA 2001;285:2370–5.
  3. Fuster V, Rydén LE, Asinger RW, et al. ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation: executive summary a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines and Policy Conferences (Committee to Develop Guidelines for the Management of Patients With Atrial Fibrillation) developed in collaboration with the North American Society of Pacing and Electrophysiology. Circulation 2001;104:2118–50.
  4. Ryder KM, Benjamin EJ. Epidemiology and significance of atrial fibrillation. Am J Cardiol 1999;84:131–8.
  5. Wattigney WA, Mensah GA, Croft JB. Increased atrial fibrillation mortality: United States, 1980–1998. Am J Epidemiol 2002;155:1–7.

Automatic, precise analysis - from the first beat

Kinetic™ Rhythms ECG Algorithm

Kinetic™ Intervals ECG Algorithm

Kinetic™ AF ECG Algorithm

Kinetic™ HRV ECG Algorithm

Kinetic™ QRS ECG Algorithm