
We have a true partnership with Monebo. They help us enable reliable, near real-time ECG processing into our platform.
"The Monebo team has been very responsive and knowledgeable and aided us in our integration process.
"Monebo has the tenacity and commitment to get things right.
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We customize our software for each client individually, so it can be installed on any device that supports Windows, Linux, Android, or iOS systems.
An ECG processing or monitoring system is a software program that receives a cardiological signal at the input and, through a complex mathematical analysis of the data array, produces a set of indicators that characterize the work of the heart. The basis of such software are digital signal processing (DSP) algorithms, applied statistical analysis algorithms, and multi-dimensional classification algorithms.
ECG algorithms must meet certain requirements in order to be safe for patients and useful for physicians. Such algorithms must provide required accuracy and are subject to mandatory regulatory processes. Algorithms must be sufficiently robust with respect to the quality of the input signal, since the ECG signal is characterized by a significant noise level in a wide frequency range. This problem is usually solved with complex digital filtering systems. As a result, an ECG algorithm typically produces annotation of heart beats (including the positions of PQRST waves and their amplitudes, types of heart beats), heart rate, interval measurements, and rhythm events interpretation.
Wherever ECG analysis is needed, Monebo has a solution. The Kinetic™ family of ECG algorithms is scalable for use in devices utilizing small microcontrollers or DSP’s, all the way up to computer or server-based platforms.
You can use our software as an embedded application in:
as well as an application for computers or servers such as:
Please contact us to find out if our technology can help you and your customers improve accuracy, add functionality, make your workflow more efficient, or speed up your product development.
