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Prediction model-based bladder urination time reminding method and assessment device

A predictive model and technology of urination time, applied in the field of medical devices, can solve problems such as difficult real-time bladder monitoring, complex probe scanning technology, and limited clinical research value, and achieve effective reminders, simple processing algorithms, and increased signal-to-noise ratio Effect

Inactive Publication Date: 2017-11-07
广州安德生物科技有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many researchers realize the alarm of bladder urination by monitoring bladder capacity. For example, portable ultrasound uses imaging technology to monitor urine output, which accounts for a large proportion, but the complexity of probe scanning technology limits its application. Magnetic field strength is also a common method to monitor the state of bladder capacity, but it is limited to invasive measurement, so it is difficult to achieve real-time monitoring of the bladder; in addition, there are techniques such as impedance method and bioimpedance imaging to monitor the capacity of the bladder, but because the studies are all In the form of simulating the process of urinary accumulation in the bladder, it is difficult to correspond to the bladder in the process of natural urinary accumulation, which limits its clinical research value

Method used

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  • Prediction model-based bladder urination time reminding method and assessment device
  • Prediction model-based bladder urination time reminding method and assessment device
  • Prediction model-based bladder urination time reminding method and assessment device

Examples

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Effect test

Embodiment 1

[0035] The present invention provides a method for reminding bladder urination time based on a predictive model, which is characterized in that it includes the following steps:

[0036] S1: The subject's bladder is emptied, and the measuring electrodes are pasted according to the predetermined position, and the motor line system and the acquisition system are connected;

[0037] The subject's bladder is emptied in advance, and the measuring electrodes are pasted according to the predetermined position. The subject can lie on his back, left side or right side. After connecting the motor line system and the acquisition system, the impedance signal of the subject can be collected.

[0038] S2: After step S1 is completed, use a data filtering algorithm to select appropriate parameters including cut-off frequency and order to remove interference signals;

[0039] S3: After step S2 is completed, the characteristic parameters in the process of accumulating urine are calculated, incl...

Embodiment 2

[0056] Such as figure 1 As shown, in this embodiment, the lower computer is also equipped with a measurement signal filter module 7, which can remove interference signals during the measurement process and improve measurement accuracy during the process of measuring impedance signals.

[0057] The data communication between the upper computer module 1 and the lower computer module is realized through the wireless transmission module 8, and the wireless transmission module 8 can simplify the connection between the upper computer module 1 and the lower computer module.

[0058] The operating principle of the evaluation device in the present invention is as follows:

[0059] The evaluation device uses a sine wave generator module to provide a stable current of 1-5mA through a voltage-controlled constant current source to stimulate the input object to be measured; the impedance signal of the object to be measured is obtained by the measuring electrode, and the impedance amplitude ...

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Abstract

The invention relates to the technical field of medical instruments, particularly to a prediction model-based bladder urination time reminding method and assessment device. The method comprises collecting impedance signals of a preset position of a person to be detected to acquire characteristic parameters containing relative deviation (TBA), absolute deviation (IBC), accumulated deviation (CTBA) and current impedance (PB), performing correlation analysis and linear regression fitting on acquired impedance characters and accumulated urine deposition time when measurement stops to establish a linear model to achieve an impedance character-to-urine deposition time prediction model. By measuring the impedance data to acquire urine deposition time, the prediction model-based bladder urination time reminding method and assessment device can achieve indirect estimation of the urine deposition time by measuring the impedance signals as well as effectiveness of prompting timely bladder urination, and meanwhile, by performing linear fitting on the urine deposition time through multiple characteristic parameters, can increase the application range and the applicability of the model.

Description

technical field [0001] The present invention relates to the technical field of medical devices, and more specifically, to a predictive model-based bladder urination time reminder method and evaluation device. Background technique [0002] In order to better protect bladder function and help patients with abnormal urinary urge to urinate in time, researchers have proposed various methods to solve the problem of timely urination in the bladder. Many researchers realize the alarm of bladder urination by monitoring bladder capacity. For example, portable ultrasound uses imaging technology to monitor urine output, which accounts for a large proportion, but the complexity of probe scanning technology limits its application. Magnetic field strength is also a common method to monitor the state of bladder capacity, but it is limited to invasive measurement, so it is difficult to achieve real-time monitoring of the bladder; in addition, there are techniques such as impedance method an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/053A61B5/00
CPCA61B5/053A61B5/4035A61B5/7235A61B5/746
Inventor 刘飏王倩
Owner 广州安德生物科技有限公司
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