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Gima ECG90A Manuel D'utilisation page 9

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  • FRANÇAIS, page 156
1.4.5 Multiple print mode and format, including 1×12, 1×12+1(rhythm lead), 2×6, 2×6+1
(rhythm lead), 3×4, manual and store modes. Printed waveform length is adjustable, which
satisfies various application requirements.
1.4.6 Rhythm leads can be arbitrarily selected to facilitate the observation of abnormal heart rate.
1.4.7 Clinical information such as patient's name, gender, age and weight can be input.
1.4.8 Optional large-capacity memory can store 1,000 medical records, making it easy for doctor
to review medical records and statistical information.
1.4.9 Multi-language (Chinese, English, Russian, etc.) interface and report.
1.5 Software overview
The ECG analysis program shows the results after analyzing the form of the
electrocardiogram, providing auxiliary reference for doctors to make diagnosis. The analysis
result cannot be used as the only standard for diagnosis. A comprehensive evaluation should be
made by professional electrocardiogram technicians and physicians according to clinical
experience and other test results.
The device is intended for use on all patient populations, which is decided by the clinical
doctor. The analysis program only provides ECG analysis for patients above 3 years old
(including 3 years).
Name of software: ECG90A embedded software
Software specification: none
Software version: Vx.x.x
Version naming rules: V<major version number>.<minor version number>.<revision version
number>
The version of the software can be obtained in "About".
Involved algorithm:
Name: ECG algorithm
Type: mature algorithm
Use: to convert ECG signals of human body into intuitive waveform images and then analyzing.
Clinical function: Electrocardiogram is an important method for clinical diagnosis of
cardiovascular disease. How to use computer to quickly, automatically and accurately analyze
ECG has been a hot topic for scholars at home and abroad. The ECG algorithm is the key to the
analysis and diagnosis of ECG signals, and its accuracy and reliability determine the
effectiveness of diagnosis and treatment of patients with heart disease.
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