Atrial Fibrillation -
a global Problem
Atrial fibrillation is the most common undetected cardiac arrhythmia. Conventional examination methods often deliver false findings, or 70 percent of atrial fibrillation attacks go unnoticed by those affected. As a result, the condition usually goes untreated and is one of the most common causes of stroke. The probability of developing the disease increases continuously from the age of 40. From the age of 65, around 10 percent of people are affected. A lack of diagnosis usually leads to dangerous secondary diseases, including stroke.
Over the past few years, a steadily growing awareness of heart disease in general and atrial fibrillation in particular can be observed.
Massive number of people affected
Around 33 million people suffer from atrial fibrillation.
Number of cases increasing rapidly
Over 5 million new cases per year. Civilization diseases such as obesity and hypertension, but also increasing air pollution will lead to a significant increase in the number of cases in the future.
The focus of the industry is shifting
Over the past 20 years, atrial fibrillation has become a significant public health problem, forcing the medtech industry to respond.
Existing technology is inadequate
Current methods require wearing uncomfortable and usually bulky devices. These are of limited use in everyday life. Numerous other devices, while easy to wear or use, capture only 10- or 20-second intervals of cardiac activity.
This is insufficient for detecting atrial fibrillation.
The Product
smartcorCONTROL
Atrial Fibrillation Detection
The chest strap is an innovation that combines smart textile with intelligent software - lightweight and comfortable to wear under clothing, ideal for long-term recording 24/7.
The sensor positions are located on the front of the strap, they cannot slip or be positioned incorrectly, avoiding signal interference.
High data quality
Recording of cardiac activity with a sampling rate of 200 Hertz.
Smart Textile with integrated sensor technology and ECG recorder
Algorithm-based software for data processing and visualization of areas with atrial fibrillation
Accuracy rating: 95.14% | Precision: 92.80% | Repeatability: 97.33%
Application in pre-diagnostics by the treating physician
The heart activities are permanently recorded every 500th of a second. The data is stored via an onboard unit, which is connected to the chest strap via a pressure lock.
A software based on mathematical transformations and specially developed algorithms are used to process the data. The basis for the AI model are data sets from 1900 patients.
The medical device is equipped with a noise filter, which screens out input data with noise and ensures high quality data. The software detects areas of atrial fibrillation and visualizes the detected sections in an ECG diagram.
Subsequently, this data can be used directly by the treating physicians for pre-diagnosis.
The data immediately reveals the areas in which potential critical cardiac activity has been detected, thus speeding up the physician's evaluation to a considerable degree.