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Alarm method for monitoring system

A monitoring system and algorithm technology, applied in the field of biomedical signal processing, to achieve the effect of improving accuracy and ensuring accuracy

Inactive Publication Date: 2012-06-20
SOUTH CHINA UNIV OF TECH
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Embodiment Construction

[0058] In order to better understand the present invention, the present invention will be further described below in conjunction with the accompanying drawings.

[0059] Figure 5 It is a schematic diagram of the monitoring system block diagram. The client of the monitoring system is composed of three physiological parameter detection modules, which are 630A non-invasive blood pressure module, 811 ECG / respiration / body temperature module, and 9003 blood oxygen module. , respiration, body temperature, and blood oxygen and other physiological parameters for online and continuous detection; three monitoring modules build a client monitoring system through the PC104 bus system, and the client and the community remote monitoring system are connected through the network interface on the PC104 bus.

[0060] Figure 6 It is a schematic diagram of the client side of the monitoring system. The new intelligent physiological parameter monitor detects the physiological parameters of the mo...

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Abstract

The invention discloses an alarm method for a monitoring system, which is based on Daubechies wavelets to decompose the monitoring information time-series data into a high-frequency signal and a low-frequency signal, wherein a forecast model of the high-frequency signal and a forecast model of the low-frequency signal are respectively constructed through adopting a least squares support vector machine arithmetic, and the wavelet inverse transformation is utilized to obtain the final forecast result as the forecast models determine forecast values. The alarm method adopts a particle swarm optimization algorithm to real-timely and automatically adjust model parameters according to the observed data and the estimation result, so the tracking of the 'slow' time varying physiological parameter time series is realized, and the model accuracy is ensured. According to the modeling result, the alarm method can forwardly forecast, ensures the forecast values and the upper and the lower thresholds and automatically set an alarm threshold, accordingly, different alarm models can be built according to different monitored people, and the alarm threshold is automatically set. The alarm method can be applied in a central monitoring system, an intensive care unit and the coronary heart disease monitoring of a hospital and a community remote monitoring system.

Description

technical field [0001] The invention belongs to the field of biomedical signal processing, in particular to an alarm method for a monitoring system. Background technique [0002] The existing monitoring system mainly adopts the following two analysis methods: the analysis method based on preset thresholds and the analysis method based on time series modeling proposed by M.Imboff et al. There are certain problems in the use of these two methods. [0003] The analysis method based on the preset threshold means that the monitoring system sets the upper and lower limits for the monitored vital sign parameters (for example, for the heart rate parameter, the upper limit is set to 120 and the lower limit is 50, when the monitored value exceeds this range, This analysis method has the disadvantages of increasing the complexity of system operation, prone to false alarm information, and unable to reflect changes in the physical condition of the monitoring object. [0004] A common m...

Claims

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Application Information

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IPC IPC(8): A61B5/0205
Inventor 邹焱飚蒋贤海张铁
Owner SOUTH CHINA UNIV OF TECH
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