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Analysis method for quantifying physiological state of human body and equipment thereof

An analysis method, a technology of human physiology, applied in the directions of diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of complex pathological guardians, large individual differences between people, etc., and achieve the effect of avoiding large differences

Active Publication Date: 2021-06-22
GENERAL HOSPITAL OF PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The human body is an extremely complex system. The heart, liver, lungs and other organs are inextricably linked. In many cases, it is difficult to see the changes in the state of the human body if only observing the indicators of a certain organ. The individual differences of the disease are very large, and the threshold value set for one person may not be applicable to another person, which greatly complicates the work of pathological monitoring staff

Method used

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  • Analysis method for quantifying physiological state of human body and equipment thereof
  • Analysis method for quantifying physiological state of human body and equipment thereof
  • Analysis method for quantifying physiological state of human body and equipment thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0143] Figure 5a It is a picture of the simulated plateau hypoxic experiment results of a tester, which implements the first method. The blood oxygen signal added in the picture is to better observe the hypoxic environment in which the tester is located.

[0144] At the beginning of the experiment, the tester is still at a normal altitude, and the current state vector is V in =[73.2602, 25.0000], after similarity comparison, take out 15 vectors from G to form matrix D:

[0145] heart rate respiration rate 73.2602 25 73.7101 25 72.3765 25 74.4417 25 74.4417 25 72.0289 25 71.8572 25 71.8564 25 71.6847 25 71.3445 25 75.2824 25 73.3496 26 70.9220 25 72.9931 24 73.6206 26

[0146] The final calculated optimal estimate V est =[73.9942, 25.0637],

[0147] Difference V re = [0.3160, 0.0637], calculate V re in G re distributed The SCI index in is 0.1584, and the deviation from the state ...

Embodiment 2

[0152] Figure 5b It is a picture of the simulated plateau hypoxia experiment results of a test subject, in which Figure 5b The implementation is the second method. The blood oxygen signal added in the figure is to better observe the hypoxic environment in which the tester is located.

[0153] At the beginning of the experiment, the tester is still at a normal altitude, and the current state vector is V in =[68.1818, 22.0000], after similarity comparison, take out 15 vectors from G to form matrix D:

[0154] heart rate respiration rate 68.3766 22 67.7966 22 68.9655 22 67.2316 22 67.2274 22 69.1648 22 67.0391 22 67.0391 22 68.1818 23 68.1818 21 68.3766 23 65.9341 22 67.7966 21 67.7966 21 65.9341 22

[0155] The final calculated optimal estimate V est =[67.8312, 21.9314],

[0156] Difference V re = [0.3505, 0.0685], calculate V re in G re distributed The SCI index in is 0.0397, a...

Embodiment 3

[0161] Image 6 A case of rescue of a patient with sudden severe atrial fibrillation. Image 6 The implementation of the method is the third method. Select the physiological data of a day when the patient is in a relatively stable state to construct a physiological state vector library G, Image 6 Middle (a) is the data of a certain morning when the vital signs are stable after rescue treatment, such as around 08:52 in the morning, the current state vector is: V in =[51.2820, 22], after similarity comparison, take out 15 vectors from G to form matrix D:

[0162] heart rate Breathing rate 51.3921 22 51.3921 22 51.3921 22 51.0638 22 51.0638 22 50.9556 22 50.8475 22 51.7241 22 50.6329 22 51.2821 21 52.0610 22 50.4202 22 50.4202 22 51.1729 23 52.1739 23

[0163] The final calculated optimal estimated value V est =[51, 2051, 21.9986], the difference vector is: V re =[0.0769, 0.0014], cal...

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Abstract

The invention relates to an analysis method for quantifying a physiological state of the human body, which comprises the following steps: finding n index vectors closest to an input vector in an index database G, and forming a matrix D by the n index vectors; finding an optimization parameter w; solving an estimation vector Vest by utilizing the optimization parameter w, wherein Vest is equal to Dw; for each index vector xj of the matrix D, finding n index vectors closest to the index vector xj, forming a matrix Dj, and finding an optimization parameter wj; solving an estimation vector Vjest by using the optimization parameter wj, wherein Vjest is equal to Djwj; calculating a difference value between the input vector and an estimation vector thereof as a first difference value Vre; calculating a difference value between each index vector xj in the matrix D and an estimation vector Vjest thereof, and taking the difference value as a second difference value; all the second difference values form a difference value library Gre; and calculating a state change index according to the distribution condition of the first difference value Vre in the difference value library Gre.

Description

technical field [0001] The present invention relates to the monitoring and analysis technology of human physiological parameters, in particular to a method and equipment for obtaining basic physiological signals of registration objects through wearable devices, learning continuous physiological signals, and then quantitatively analyzing physiological state changes. Background technique [0002] Guardianship technology has appeared in the last century. From early bedside monitoring, to mobile monitoring, and now to wearable physiological monitoring. In the field of physiological monitoring, an important concept is how to describe and quantify changes in physiological states. Traditional methods often rely on human experience to observe the absolute value changes of one or several physiological indicators. When the observed indicators exceed a certain threshold, the observer will think that the state is abnormal and make the next step. contingency measures. This subjective ...

Claims

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Application Information

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IPC IPC(8): A61B5/318A61B5/256A61B5/28A61B5/0205A61B5/11
CPCA61B5/0205A61B5/1118A61B5/6802A61B5/7235A61B5/7289
Inventor 张政波曹德森王钊兰珂
Owner GENERAL HOSPITAL OF PLA
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