Clinical gastrointestinal decompression device, decompression system and decompression method for digestive system department
A gastroenterology and clinical technology, applied in the field of gastrointestinal decompression, can solve problems such as pressure regulation, poor patient experience, and drainage rate regulation, and achieve the effects of improving accuracy, improving comfort, and ensuring safety.
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Embodiment 1
[0138] The clinical gastrointestinal decompression method provided by the embodiment of the present invention is as follows: image 3 As shown, as a preferred embodiment, such as Figure 4 As shown, the image enhancement method provided by the embodiment of the present invention is as follows:
[0139] S201. Acquire a gastrointestinal image sequence related to the imaging parameter by adjusting an imaging parameter through an image enhancement program, where the gastrointestinal image sequence includes n gastrointestinal images.
[0140] S202. Manually draw a region of interest from the gastrointestinal image sequence, and calculate an average value of pixel values of the region of interest to form an n-dimensional reference signal.
[0141] S203. Calculate point by point the relative amplitude value and residual information value of each n-dimensional signal in the gastrointestinal image sequence relative to the reference signal.
[0142] S204. The relative amplitude valu...
Embodiment 2
[0155] The gastroenterology decompression method for gastroenterology clinical use provided by the embodiments of the present invention is as follows: image 3 As shown, as a preferred embodiment, such as Figure 5 As shown, the prediction method provided by the embodiment of the present invention is as follows:
[0156] S301. Acquiring hospital chronic gastroenteritis treatment etiology and pathology data sources and patient daily monitoring data through the prediction program, so as to establish a chronic gastroenteritis daily data database.
[0157] S302, according to the chronic gastroenteritis daily data database established in step S301, train the neural network model in an offline manner to obtain a trained chronic gastroenteritis pathological neural network model.
[0158] S303. Collect the daily life data of the user through the intelligent monitoring device, and send the collected daily life data to the server, and the server saves the daily life data of the user in...
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