Atrial fibrillation detection method, device and readable storage medium
A detection device and technology for atrial fibrillation, applied in the field of medical signal processing, can solve the problems of inaccurate and reasonable detection methods for atrial fibrillation, and achieve the effect of improving efficiency and accuracy
Active Publication Date: 2021-06-01
SHENZHEN IKINLOOP TECH CO LTD
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[0004] The main purpose of the present invention is to provide a method, device and readable storage medium for detecting atrial fibrillation based on electrocardiographic signals, aiming to solve the technical problem that the existing method for detecting atrial fibrillation based on electrocardiographic signals is not accurate and reasonable
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[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0049] refer to figure 1 , figure 1 It is a schematic structural diagram of the operating environment of the atrial fibrillation detection device involved in the solution of the embodiment of the present invention.
[0050] Such as figure 1 As shown, the apparatus for detecting atrial fibrillation may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface). The memory 1005 can be a ...
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The invention discloses a method for detecting atrial fibrillation based on an electrocardiogram signal. The method for detecting atrial fibrillation comprises the following steps: acquiring an electrocardiographic signal used for training an atrial fibrillation identification model, and extracting the atrial fibrillation identification model used for training the atrial fibrillation identification model. The morphological characteristic parameters and timing information of the ECG signal are obtained; the morphological characteristic parameters and timing information are used as training samples, and a deep learning method is used to establish an atrial fibrillation recognition model; The model analyzes the ECG signal to be detected, and obtains an atrial fibrillation detection result of the ECG signal to be detected. The invention also discloses an atrial fibrillation detection device and a readable storage medium. The invention can realize automatic detection of atrial fibrillation, and improve the efficiency and accuracy of atrial fibrillation detection.
Description
technical field [0001] The invention relates to the field of medical signal processing, in particular to an atrial fibrillation detection method, device and readable storage medium. Background technique [0002] Heart disease is a relatively common cardiovascular disease, and it is also one of the diseases with the highest morbidity and mortality. Therefore, the prevention and diagnosis of heart disease has become an important issue in today's medical field. The most harmful to heart health is atrial fibrillation (abbreviated as atrial fibrillation), which is the most common persistent cardiac arrhythmia, often accompanied by symptoms such as palpitations, dizziness, chest discomfort, and shortness of breath. [0003] At present, electrocardiogram technology has been used as an important technical means for heart disease diagnosis because of its simple operation method and no invasive damage to users. However, the test results require doctors to carefully observe the electro...
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IPC IPC(8): A61B5/361A61B5/00
CPCA61B5/7267A61B5/361
Inventor 邓开峰
Owner SHENZHEN IKINLOOP TECH CO LTD