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Physiological parameter monitoring-combined human body tumble warning and detecting method

A technology of physiological parameters and detection methods, which is applied in the fields of diagnostic recording/measurement, medical science, blood characterization devices, etc., can solve the problem of not being able to match different human bodies well and cannot prevent falls, and achieve the effect of improving accuracy

Inactive Publication Date: 2015-04-01
SHANGHAI UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a human body fall detection method combined with human body physiological parameter monitoring to solve the problems that the existing threshold-based fall detection method and system cannot match different human bodies well and cannot combine physiological parameter information for fall prevention. Pour and detection method

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  • Physiological parameter monitoring-combined human body tumble warning and detecting method
  • Physiological parameter monitoring-combined human body tumble warning and detecting method
  • Physiological parameter monitoring-combined human body tumble warning and detecting method

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Embodiment 1

[0022] see figure 1 ~Figure 4, this paper combines the human body fall warning and detection method with physiological parameter monitoring, and constructs a fall warning and detection model that combines human physiological characteristics and motion characteristics. Human body motion characteristics include acceleration and limb instantaneous angle characteristics, physiological Features include pulse rate, blood oxygen saturation and pulse signal strength; the specific operation steps are as follows:

[0023] 1) Data collection and fall warning: By building a synchronous data collection system, the physiological parameters and motion data of the human body are collected to obtain the original sample set ;Through the monitoring and analysis of human physiological parameters, establish a fall-prone model to determine whether the human body is in a state of fall-prone, so as to avoid or reduce the occurrence of falls through early warning, and obtain raw data samples containi...

Embodiment 2

[0028] This embodiment is basically the same as Embodiment 1, and the special feature is: the step 1) to establish a fall-prone model is: first, collect physiological parameters in combination with the oximeter with a built-in Bluetooth chip; then collect the collected data in a Bluetooth manner Transmit to a mobile phone or tablet mobile device, and realize the display of physiological parameters and the drawing of waveform diagrams. Through the real-time monitoring and analysis of physiological parameters, a fall-prone model is established; to determine whether the human body is in a fall-prone state, so that the occurrence of falls can be reduced or avoided through early warning. The collection of physiological parameters is: combined with the motion capture system and the mobile physiological parameter monitoring platform, a synchronous collection platform of human physiological parameters and motion data is built, which can collect the physiological parameters of the human...

Embodiment 3

[0030] see figure 1 It is a schematic diagram of the mobile monitoring platform for physiological parameters in this embodiment. The monitoring platform is composed of blood oxygen saturation meter, mobile phone, tablet and other devices, among which 1 is the blood oxygen saturation measuring instrument module of the Bluetooth function module; 2 is the mobile phone and tablet device; 3 is the server end of the remote monitoring center; 4 represents the remote mobile terminal. The physiological parameters collected by the oximeter can be transmitted to the mobile phone via Bluetooth, and then data processing, display and pulse waveform drawing are performed on the mobile phone, and then transmitted to the remote monitoring center for further diagnosis. Its purpose is to make full use of the functions of mobile devices (such as alarm and data transmission functions), without the need to separately develop complex devices for fall detection.

[0031] The following constraints a...

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Abstract

The invention relates to a physiological parameter monitoring-combined human body tumble warning and detecting method. According to the physiological parameter monitoring-combined human body tumble warning and detecting method, human body physiological parameters are monitored and analyzed in real time through devices such as a mobile phone and a tablet personal computer to establish an easy-to-tumble model to perform tumble warning; a human body physiological parameter and movement data synchronous collection platform is established to achieve synchronous collection of the human body physiological parameters (such as oxyhemoglobin saturation, the pulse rate and the pulse signal intensity) and the movement data (accelerated speed at a waist hip bone position and the trunk instant angle); a tumble warning and detection model is established in combination with the human body physiological parameters and the movement data, tumble warning is performed by establishing the human body easy-to-tumble model, and meanwhile an SVM tumble detection algorithm is provided to perform tumble detection; finally characteristics of collected data are extracted and scaled, related characteristic attributes are obtained, and are in combination with type information to form a training set sample; a classification forecasting model is obtained by training the training set to be used for predicating categories of samples in unknown types, characteristic vectors in the tumble activity are added to a training data set to be used for a next round of training.

Description

technical field [0001] The invention relates to a human body fall warning and detection method combined with physiological parameter monitoring, which is mainly applied to the elderly and other people who are prone to falls. It can realize all-round monitoring of human health through fall warning, fall detection and health monitoring after fall. Background technique [0002] In health monitoring, research on fall detection technology is one of the key technologies to improve the health monitoring level of the elderly. The primary task of the fall detection system is to monitor daily activity data in real time and accurately, extract useful features from it, and use certain algorithms to determine whether the human body has fallen. However, most of the previous systems only focused on the research of the fall process, and did not combine the data information before and after the fall well, and did not combine the changes of physiological parameters to infer the tendency of t...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/021A61B5/145
CPCA61B5/1117A61B5/0205A61B5/145
Inventor 李敏王相存李洋窦连航李杰王中亚
Owner SHANGHAI UNIV
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