Key result
A new R&D platform was developed to test various ECG QRS detection algorithms, aiming to increase diagnostic effectiveness and unify result storage.
The paper introduces a new platform for developing and testing ECG QRS detection algorithms to improve digital ECG data analysis.
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May support QRS algorithm testing and storage unification; leaves open clinical validation and diagnostic gains.
Digital ECG data analysis is a trending concept in the field where applied computer science and medicine coincide. Therefore, in order to meet the requirements that arise, our R&D team has created an environment where developers can test different approaches in data processing. To assist the objective, the platform offers a number of features with the following main target goals: 1) to increase the effectiveness in conducting a proper medical diagnose, 2) to incorporate a unified format of storing the results of the diagnosis conducted and 3) to test various ECG QRS detection algorithms.
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Ristovski et al. (2016) studied ECG QRS detection. ECG data processing platform was evaluated. A new R&D platform was developed to test various ECG QRS detection algorithms, aiming to increase diagnostic effectiveness and unify result storage.
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