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Vital sign multi-physiological signal extraction and fusion analysis method

A technology of physiological signals and vital signs, applied in the recognition of patterns in signals, instruments, applications, etc., can solve problems such as low efficiency and unfavorable treatment of the wounded and sick, and achieve the effect of improving the treatment rate and saving treatment time.

Pending Publication Date: 2022-06-21
韩宏光 +1
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Problems solved by technology

After emergency medical treatment of injured patients, it is necessary to monitor the multi-physiological signals of their vital signs in real time, such as ECG, EEG, EMG, pulse, heart and lung sounds, etc., but existing medical facilities can only use various monitoring The instrument monitors its various physiological signals, and the physiological state of the injured and sick can be obtained after the medical staff analyzes and judges the data. This method is inefficient and is not conducive to the treatment of a large number of wounded and sick in an emergency

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[0031] As a low -frequency non -smooth signal, the pulse wave signal needs to be prepared, mainly using wavelet changes to remove the burrs and baseline drift.The most significant feature of non -stable signals is the nature of the time frequency. Because of the characteristics of its multi -resolution analysis, the wavelet transformation can characterize the local characteristics of the signal of the frequency domain and time domain.Part of the mutation and noise to achieve the noise of the signal.In the calculation of the pulse wave conduction time based on ECG and pulse waves, the main wave peak point of the pulse waves is commonly used as the end point.Because the differential dual threshold method has a good detection effect, the differential double threshold method extracts the peak point of the pulse wave.Another pulse wave is characterized by the change of pulse wave map area to a pulse wave -shaped characteristic amount K value.The calculation method of the K value is the...

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Abstract

The invention discloses a vital sign multi-physiological signal extraction and fusion analysis method, which is characterized in that feature extraction is carried out on parameter information such as electrocardio, electroencephalogram, myoelectricity, pulse, heart and lung sound and the like acquired by equipment based on artificial intelligence, fusion analysis of multiple physiological signals is carried out by using an SVM (Support Vector Machine), the physiological state of a patient is automatically obtained, and medical personnel can quickly obtain feedback and respond. The computer is used for automatically analyzing data and judging the physiological state of the patient, the treatment time is greatly saved, and the treatment rate of the patient is increased.

Description

Technical field [0001] The invention is the field of life signs detection technology, which involves a method of extraction and fusion analysis method of multi -physiological signal extraction and integration of life signs. Background technique [0002] With the rapid development of the industry and transportation industry, the probability of natural disasters rose, which has continued to occur in various emergencies. A large number of injuries will occur in a short period of time.Therefore, it is important to study the post -medical treatment of the injured staff.After emergency medical treatment of injuries, multi -physiological signals that need to be monitored in real time, such as ECG, Electric Electric, Muscle Electric, pulse, cardiopulmonary sound, etc.The instrument monitors various physiological signals, and after medical staff on data analysis, the physiological state of injuries is obtained. This method is inefficient, which is not conducive to the treatment of a large...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62A61B5/0205A61B5/349A61B5/372A61B5/397A61B7/00A61B7/04
CPCA61B5/02055A61B5/0015A61B5/349A61B5/372A61B5/397A61B5/6802A61B5/7253A61B5/7257A61B7/003A61B7/04G06F2218/06G06F2218/10G06F2218/08G06F2218/12G06F18/2411G06F18/259G06F18/253
Inventor 韩宏光
Owner 韩宏光
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