With the introduction of coronary care units in the late 1950s, electrocardiogram (ECG) monitoring devices were developed to facilitate rapid response to life-threatening arrhythmias in patients with acute myocardial infarction. ECG monitoring goals have expanded to the detection of complex arrhythmias, identification of prolonged QT intervals, and ST-segment/ischemia monitoring, after starting with basic single-lead registration. For these extended purposes, multi-lead ECG monitoring has become a requirement. In recent years, patient monitoring equipment has been developed to facilitate the simultaneous registration and analysis of all leads of the standardized 12-lead ECG. In this context, Quoretech started an R&D journey by developing an original telemetry project. A non-invasive, autonomous and mobile device, that continuously analyzes the electrical impulses generated by the user’s heart.
Quoretech device is pretty small and portable, has no wires, and it is attached directly to the patient’s body at the chest, as shown below:
Works with ECG 3 Leads, and it’s able to continuous acquire ECG signals from 3 Leads for up to 72 hours without requiring any battery replacement or recharging. With the ability to exchange data and information with a dedicated mobile App, this new monitor help patients, and cardiologists to optimize the time to diagnosis of heart disease.
Adults with at least one significant risk factor for heart disease.
Adults with high-risk feeling chest pain/dizziness seek diagnosis.
Post-acute in hospital
After a surgical procedure, upon transfer to lower cost sub-acute care within the hospital.
Post-acute home care
After the surgical procedure, upon discharge.
Arrhythmia Detection using Quoretech
The world health organization estimation that 17.5 million represents 30% people died around global due to cardiovascular disease. Among these 7.6 million due to coronary artery diseases. One of the most common causes of death in the world is an arrhythmia. The purpose of Quoretech device is the identification of cardiac arrhythmias. Depending on how sophisticated is the analysis of the signal or how critical is the patient case, the ECG signal analysis can reach up to 3 levels.
There are five steps to the classification of the ECG signal in ECG Analysis Algorithm:
Embedded algorithm for ECG analysis of arrhythmia
The Low-Level Algorithm for ECG analysis of arrhythmia is processed by MCU (Microcontroller Unit). It provides an ECG classification. The mobile App running on the mobile phone connected to the device produces a more detailed analysis. The cloud platform provides an even broader report.