CN115553790A - Anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability - Google Patents

Anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability Download PDF

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CN115553790A
CN115553790A CN202211413274.4A CN202211413274A CN115553790A CN 115553790 A CN115553790 A CN 115553790A CN 202211413274 A CN202211413274 A CN 202211413274A CN 115553790 A CN115553790 A CN 115553790A
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anesthesia
index
state
patient
heart rate
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李依泽
王国林
谢克亮
张敏
冯永春
李宏明
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Chongqing Xider Medical Instrument Co ltd
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Chongqing Xider Medical Instrument Co ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02405—Determining heart rate variability
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4821—Determining level or depth of anaesthesia
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items

Abstract

The invention discloses an anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability, which specifically comprises the following steps: the method comprises the steps of S1, wearing electroencephalogram and electrocardio acquisition equipment, S2, acquiring electroencephalogram signals and electrocardio, S3, analyzing comprehensive indexes of anesthesia states, and S4, evaluating nociception conditions of anesthesia pain, and relates to the technical field of pain monitoring of anesthesia operations. This anesthesia pain nociception evaluation method based on brain electrical signal and heart rate variability can realize carrying out the weight combination through the two with qNOX index and patient's heart rate variability HRV index, come to carry out comprehensive assessment to patient's anesthesia state, reach the purpose that not only quick but also accurate carries out comprehensive assessment to patient's anesthesia state, ensure the security of patient's anesthesia when the operation, reduce the evaluation error, avoid patient's mood and thinking activeness degree all can influence the monitoring condition of brain wave signal, it is more accurate to monitor the evaluation result, thereby it is very beneficial to patient's anesthesia operation.

Description

Anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability
Technical Field
The invention relates to the technical field of anesthesia operation pain nociception monitoring, in particular to an anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability.
Background
Pain nociception is the subjective feeling of the patient, but the patient cannot tell whether pain and insufficient analgesia exist in the general anesthesia state. This is also a focus and difficulty for scientists to pay attention to and study.
The existing equipment in the world and at present is mainly based on EEG, SPI, HRV and the like, but the sources of signals acquired by the equipment are different, and pain nociception reflected by the obtained data is not complete.
The present invention integrates EEG and HRV and assigns respective weights to more completely and accurately reflect the pain nociception level of a patient during anesthesia procedures (including sedation).
The Heart Rate Variability (HRV) is the variation of the difference of successive heart beat cycles, and contains the information of the neurohumoral factors for regulating the cardiovascular system, thereby judging the condition of the cardiovascular system and preventing the cardiovascular diseases and the like, and possibly being a valuable index for predicting sudden cardiac death and arrhythmic events. The ideal general anesthesia is that an anesthesiologist adjusts the drug concentration according to the feedback conditions of sedation, analgesia, muscle relaxation, hemodynamics and stress state, and gives individualized optimal drug dosage to a patient to realize safe and effective anesthesia management. The electroencephalogram consciousness index (qCON) is a new sedation depth monitoring index, can accurately reflect sedation depth in general anesthesia monitoring as the electroencephalogram double frequency index (BIS), has good correlation with sedation degree, is a reliable sedation index, even has higher accuracy than the BIS, and the pain injury sensitivity index (qNOX) is that on the basis of qCON, the collected electroencephalogram signals (EEG) are subjected to component separation, and electroencephalogram energy is calculated through a special frequency band, so that the index of pain injury is accurately predicted. qCON, qNOX are good indicators of intraoperative precise anesthesia.
At present, in the process of anaesthetizing a patient, most of patients are singly analyzed through collecting brain wave signals of the patient to evaluate the anaesthetization condition of the patient, however, the evaluation mode is single, and large evaluation errors exist, because the emotion and the thinking activity degree of the patient can influence the detection condition of the brain wave signals, the monitoring evaluation result is not accurate enough, the comprehensive evaluation of the anaesthetization state of the patient can not be realized through weight combination of the qNOX index and the HRV index of the heart rate variability of the patient, the aim of comprehensively evaluating the anaesthetization state of the patient quickly and accurately can not be achieved, the anaesthetization safety of the patient during operation can not be completely ensured, and the anaesthetization operation of the patient is very unfavorable.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability, and solves the problems that the existing evaluation mode is single, and large evaluation errors exist, because the emotion and the thought activity degree of a patient influence the detection condition of electroencephalogram signals, the monitoring evaluation result is not accurate enough, the comprehensive evaluation of the anesthesia state of the patient can not be realized by combining the qNOX index and the HRV index of the heart rate variability of the patient in a weight manner, the aim of quickly and accurately comprehensively evaluating the anesthesia state of the patient can not be achieved, and the anesthesia safety of the patient during an operation can not be completely ensured.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the anesthesia pain nociception evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following steps:
s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off;
s2, acquiring electroencephalogram signals and electrocardiograms: anaesthetizing a patient, wherein brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes the collected brain wave signals of the patient to obtain an electroencephalogram consciousness index qCON and a pain injury sensitivity index qNOX, and the electrocardio analysis equipment analyzes the collected electrocardio signals to obtain a heart rate variability index HRV;
s3, comprehensive index analysis of anesthesia states: when the general anesthesia muscle is in the relaxed state, the pain injury sensitivity index qNOX and the heart rate variability index HRV acquired and analyzed in the step S2 are weighted and calculated according to the following formulas respectively to obtain an anesthesia state comprehensive index zeta in the relaxed state of the general anesthesia muscle, and the specific formula is as follows:
ζ 1 ＝qNOX*b 1 ％+HRV*(1-b 1 ％)；
in the formula, ζ 1 Is a general index of the anesthesia state in the general anesthesia muscle relaxation state, qNOX is a pain injury sensitivity index, HRV is a heart rate variability index, b 1 Is a weight constant of the general anesthesia muscle in a loose state;
when the patient is in an ICU (intensive care unit) sedation state, namely, when the patient is not in a muscle relaxation state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain an anesthesia state comprehensive index zeta under the muscle relaxation state, wherein the specific formula is as follows:
ζ 2 ＝qNOX*b 2 ％+HRV*(1-b 2 ％)；
in the formula, ζ 2 The index of the combination of the anesthesia states in the ICU sedation state, i.e. without muscle relaxation, qNOX the pain injury sensitivity index, HRV the heart rate variability index, b 2 The weight constant is in an ICU sedated state, namely, the weight constant is not given to a muscle relaxation state;
s4, evaluating nociception conditions of anesthesia pain: the comprehensive index zeta of the anesthesia state in the general anesthesia muscle relaxation state obtained by the analysis step S3 1 And a combined index zeta for the anaesthesia status in the ICU sedated state, i.e. without muscle relaxation 2 To the anesthesia pain injury of the patientThe degree of nociception was evaluated.
Preferably, the weighting constant b in step S3 1 In the range of 60-80.
Preferably, the method for analyzing the acquired electrocardiographic signals by the electrocardiographic device to obtain the heart rate variability index HRV in step S2 is one of a time domain analysis method, a frequency domain analysis method and a nonlinear analysis method.
Preferably, when the electrocardiographic data acquired in step S2 is analyzed by a time domain analysis method, the SDNN, SDANN and RMSSD indexes of the heart rate variability in 24-hour time domain analysis are (141 ± 39) ms, (127 ± 35) ms and (27 ± l 2) ms, respectively.
Preferably, in step S4, during the surgical anesthesia, the electroencephalogram consciousness index qCON is between 40 and 60, and the anesthesia state comprehensive index ζ 1 At 50-60, the patient will reach a near physiological ideal anesthesia without severe cardiovascular stress, physical movement and overdepth anesthesia.
Preferably, the electroencephalogram consciousness index qCON and the anesthesia state comprehensive index zeta after drug withdrawal in the anesthesia recovery period 2 The value will rise with drug metabolism when the patient is suitably stimulated, if ζ 2 >qCON, and greater than 15 values, the patient is assessed to be able to wake up.
Preferably, the weight constant b in the relaxed state of the whole anesthesia muscle in the step S3 1 Greater than the weight constant b in the ICU sedated state, i.e. without muscle relaxation 2 。
(III) advantageous effects
The invention provides an anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability. Compared with the prior art, the method has the following beneficial effects: the anesthesia pain nociception evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following steps: s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off; s2, acquiring electroencephalogram signals and electrocardio: anaesthetizing a patient, wherein brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes the collected brain wave signals of the patient to obtain an electroencephalogram consciousness index qCON and a pain injury sensitivity index qNOX, and the electrocardio analysis equipment analyzes the collected electrocardio signals to obtain a heart rate variability index HRV; s3, comprehensive index analysis of anesthesia states: and (3) respectively carrying out weight calculation on the pain nociception index qNOX and the heart rate variability index HRV acquired and analyzed in the step (S2) by using a calculation formula disclosed by the invention to obtain an anesthesia state comprehensive index zeta, and S4, carrying out anesthesia pain nociception condition evaluation: the anesthesia pain nociception condition of the patient is evaluated by analyzing the anesthesia state comprehensive index zeta obtained in the step S3, the QNOX index and the HRV index of the heart rate variability of the patient can be combined in weight, the anesthesia state of the patient is comprehensively evaluated, the aim of comprehensively evaluating the anesthesia state of the patient quickly and accurately is well achieved, the anesthesia safety of the patient during an operation is ensured, the evaluation error is reduced, the monitoring condition that the emotion and thinking activity degree of the patient can influence the brain wave signal is avoided, the monitoring evaluation result is more accurate, and the anesthesia operation of the patient is very beneficial.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the embodiment of the present invention provides three technical solutions: the patient anesthesia operation pain evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following embodiments:
example 1
The anesthesia pain nociception evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following steps:
s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off;
s2, acquiring electroencephalogram signals and electrocardio: anaesthetizing a patient, wherein at the moment, brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes the collected brain wave signals of the patient to obtain an electroencephalogram consciousness index qCON and a pain injury sensitivity index qNOX, the electrocardio analysis equipment analyzes the collected electrocardio signals to obtain a heart rate variability index HRV, and the method for analyzing the collected electrocardio signals to obtain the heart rate variability index HRV by the electrocardio analysis equipment is a time domain analysis method;
s3, analyzing comprehensive indexes of anesthesia states: when the general anesthesia muscle is in the relaxed state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain the comprehensive index zeta of the anesthesia state under the relaxed state of the general anesthesia muscle, and the specific formula is as follows:
ζ 1 ＝qNOX*b 1 ％+HRV*(1-b 1 ％)；
in the formula, ζ 1 Is a general index of the anesthesia state in the general anesthesia muscle relaxation state, qNOX is a pain injury sensitivity index, HRV is a heart rate variability index, b 1 Is a weight constant of the general anesthesia muscle in a loose state, a weight constant b 1 In the range of 70;
when the patient is in an ICU (intensive care unit) sedation state, namely, when the patient is not in a muscle relaxation state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain an anesthesia state comprehensive index zeta under the muscle relaxation state, wherein the specific formula is as follows:
ζ 2 ＝qNOX*b 2 ％+HRV*(1-b 2 ％)；
in the formula, ζ 2 The index of the combination of the anesthesia states in the ICU sedation state, i.e. without muscle relaxation, qNOX the pain injury sensitivity index, HRV the heart rate variability index, b 2 The weight constant of the ICU in a calmed state, i.e. the weight constant of the muscle in a relaxed state, and the weight constant b of the general anesthesia in a relaxed state 1 Greater than the weight constant b in the ICU sedated state, i.e. without muscle relaxation 2 ；
S4, evaluating nociception conditions of anesthesia pain: the comprehensive index zeta of the anesthesia state in the general anesthesia muscle relaxation state obtained by the analysis step S3 1 And a combined index ζ of the anesthesia status in the sedated state, i.e. without muscle relaxation, for the ICU 2 To evaluate the nociceptive degree of the anesthesia pain of the patient, the EEG consciousness index qCON is 50 during the operation anesthesia, and the anesthesia state comprehensive index ζ is 1 At 55, the patient can reach an ideal anesthesia state close to physiology without serious cardiovascular stress response, physical movement and overdepth anesthesia, and the electroencephalogram consciousness index qCON and the anesthesia state comprehensive index zeta after medicine withdrawal are performed in the anesthesia recovery period 2 The value will rise with drug metabolism when the patient is suitably stimulated, if ζ 2 >qCON, and greater than 15 values, the patient is assessed to be able to wake up.
In the embodiment of the invention, when the electrocardio data acquired in the step S2 is analyzed by adopting a time domain analysis method, indexes of SDNN, SDANN and RMSSD in 24-hour time domain analysis of heart rate variability are (141 +/-39) ms, (127 +/-35) ms and (27 +/-l 2) ms respectively.
Example 2
The anesthesia pain nociception evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following steps:
s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off;
s2, acquiring electroencephalogram signals and electrocardiograms: performing anesthesia treatment on a patient, wherein brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes and obtains a brain wave consciousness index qCON and a pain injury sensitivity index qNOX from the collected brain wave signals of the patient, the electrocardio analysis equipment analyzes and obtains a heart rate variability index HRV from the collected electrocardiosignals, and the method for analyzing and obtaining the heart rate variability index HRV from the collected electrocardiosignals through the electrocardio analysis equipment is a time domain analysis method;
s3, comprehensive index analysis of anesthesia states: when the general anesthesia muscle is in the relaxed state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain the comprehensive index zeta of the anesthesia state under the relaxed state of the general anesthesia muscle, and the specific formula is as follows:
ζ 1 ＝qNOX*b 1 ％+HRV*(1-b 1 ％)；
in the formula, ζ 1 Is a comprehensive index of the anesthesia state under the general anesthesia muscle relaxation state, qNOX is a pain injury sensitivity index, HRV is a heart rate variability index, b 1 Is the weight constant of the general anesthesia muscle in the loose state, the weight constant b 1 In the range of 60;
when the patient is in an ICU (intensive care unit) sedation state, namely, when the patient is not in a muscle relaxation state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain an anesthesia state comprehensive index zeta under the muscle relaxation state, wherein the specific formula is as follows:
ζ 2 ＝qNOX*b 2 ％+HRV*(1-b 2 ％)；
in the formula, ζ 2 The index of the combination of the anesthesia states in the ICU sedation state, i.e. without muscle relaxation, qNOX the pain injury sensitivity index, HRV the heart rate variability index, b 2 The weight constant under ICU sedation, i.e. not under muscle relaxation, and the weight constant under general anesthesia muscle relaxation b 1 Greater than the weight constant b in the ICU sedated state, i.e. not to muscle relaxation 2 ；
S4, evaluating nociception conditions of anesthesia pain: obtained by analysing step S3Is the comprehensive index zeta of the anesthesia state under the general anesthesia muscle relaxation state 1 And a combined index zeta for the anaesthesia status in the ICU sedated state, i.e. without muscle relaxation 2 To evaluate the nociceptive degree of the anesthesia pain of the patient, the EEG consciousness index qCON is 40 during the operation anesthesia, and the anesthesia state comprehensive index ζ 1 At 50 hours, the patient can reach an ideal anesthesia state close to physiology, the serious cardiovascular stress response, physical movement and deep anesthesia can not occur, and the electroencephalogram consciousness index qCON and the anesthesia state comprehensive index zeta after the drug is stopped in the anesthesia recovery period 2 The value will rise with drug metabolism, when the patient is suitably stimulated, if ζ 2 >qCON, and greater than 15 values, the patient is assessed to be able to wake up.
In the embodiment of the invention, when the electrocardio data acquired in the step S2 is analyzed by adopting a time domain analysis method, indexes of SDNN, SDANN and RMSSD in 24-hour time domain analysis of heart rate variability are (141 +/-39) ms, (127 +/-35) ms and (27 +/-l 2) ms respectively.
Example 3
The anesthesia pain nociception evaluation method based on the electroencephalogram signal and the heart rate variability specifically comprises the following steps:
s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off;
s2, acquiring electroencephalogram signals and electrocardio: anaesthetizing a patient, wherein at the moment, brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes the collected brain wave signals of the patient to obtain an electroencephalogram consciousness index qCON and a pain injury sensitivity index qNOX, the electrocardio analysis equipment analyzes the collected electrocardio signals to obtain a heart rate variability index HRV, and the method for analyzing the collected electrocardio signals to obtain the heart rate variability index HRV by the electrocardio analysis equipment is a time domain analysis method;
s3, comprehensive index analysis of anesthesia states: when the general anesthesia muscle is in the relaxed state, the pain injury sensitivity index qNOX and the heart rate variability index HRV acquired and analyzed in the step S2 are weighted and calculated according to the following formulas respectively to obtain an anesthesia state comprehensive index zeta in the relaxed state of the general anesthesia muscle, and the specific formula is as follows:
ζ 1 ＝qNOX*b 1 ％+HRV*(1-b 1 ％)；
in the formula, ζ 1 Is a general index of the anesthesia state in the general anesthesia muscle relaxation state, qNOX is a pain injury sensitivity index, HRV is a heart rate variability index, b 1 Is the weight constant of the general anesthesia muscle in the loose state, the weight constant b 1 In the range of 80;
when the patient is in an ICU sedation state, namely, the patient is not in a muscle relaxation state, the pain damage sensitivity index qNOX and the heart rate variability index HRV acquired and analyzed in the step S2 are weighted and calculated according to the following formulas respectively to obtain an anesthesia state comprehensive index zeta in the muscle relaxation state, and the specific formula is as follows:
ζ 2 ＝qNOX*b 2 ％+HRV*(1-b 2 ％)；
in the formula, ζ 2 The index of the general anesthesia with ICU sedation, i.e. without muscle relaxation, qNOX the pain injury sensitivity index, HRV the heart rate variability index, b 2 The weight constant under ICU sedation, i.e. not under muscle relaxation, and the weight constant under general anesthesia muscle relaxation b 1 Greater than the weight constant b in the ICU sedated state, i.e. not to muscle relaxation 2 ；
S4, anesthesia pain nociceptive condition assessment: the comprehensive index zeta of the anesthesia state in the general anesthesia muscle relaxation state obtained by the analysis step S3 1 And a combined index zeta for the anaesthesia status in the ICU sedated state, i.e. without muscle relaxation 2 To evaluate the nociceptive degree of the anesthesia pain of the patient, the electroencephalogram consciousness index qCON is 60 during the operation anesthesia, and the comprehensive index zeta of the anesthesia state 1 At 60 hours, the patient can reach an ideal anesthesia state close to physiology, the serious cardiovascular stress response, physical movement and deep anesthesia can not occur, and the electroencephalogram consciousness index qCON and the anesthesia state after the medicine is stopped in the anesthesia recovery periodState integration index ζ 2 The value will rise with drug metabolism when the patient is suitably stimulated, if ζ 2 >qCON, and greater than 15 values, the patient is assessed to be able to wake up.
In the embodiment of the invention, when the electrocardio data acquired in the step S2 is analyzed by adopting a time domain analysis method, indexes of SDNN, SDANN and RMSSD in 24-hour time domain analysis of heart rate variability are (141 +/-39) ms, (127 +/-35) ms and (27 +/-l 2) ms respectively.
In conclusion, the comprehensive evaluation of the anesthesia state of the patient can be realized by combining the qNOX index and the HRV index of the heart rate variability of the patient by weight, the aim of quickly and accurately comprehensively evaluating the anesthesia state of the patient is well fulfilled, the anesthesia safety of the patient during the operation is ensured, the evaluation error is reduced, the detection condition of brain wave signals is prevented from being influenced by the emotion and active thinking degree of the patient, the monitoring evaluation result is more accurate, and the comprehensive evaluation method is very beneficial to the anesthesia operation of the patient.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. An anesthesia pain nociception evaluation method based on electroencephalogram signals and heart rate variability is characterized in that: the method specifically comprises the following steps:
s1, wearing of electroencephalogram and electrocardio acquisition equipment: the electroencephalogram collection equipment is worn at the head position of a patient, the electrocardio collection equipment is worn at the chest heart position of the patient and is firmly fixed through the fixing structure, and the electroencephalogram collection head and the electrocardio collection head are prevented from falling off;
s2, acquiring electroencephalogram signals and electrocardio: anaesthetizing a patient, wherein brain wave signals and electrocardiosignals respectively adopted in the step S1 are respectively transmitted to brain wave analysis equipment and electrocardio analysis equipment, the brain wave analysis equipment analyzes the collected brain wave signals of the patient to obtain an electroencephalogram consciousness index qCON and a pain injury sensitivity index qNOX, and the electrocardio analysis equipment analyzes the collected electrocardio signals to obtain a heart rate variability index HRV;
s3, comprehensive index analysis of anesthesia states: when the general anesthesia muscle is in the relaxed state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain the comprehensive index zeta of the anesthesia state under the relaxed state of the general anesthesia muscle, and the specific formula is as follows:
ζ 1 ＝qNOX*b 1 ％+HRV*(1-b 1 ％)；
in the formula, ζ 1 Is a general index of the anesthesia state in the general anesthesia muscle relaxation state, qNOX is a pain injury sensitivity index, HRV is a heart rate variability index, b 1 Is a weight constant of the general anesthesia muscle in a loose state;
when the patient is in an ICU (intensive care unit) sedation state, namely, when the patient is not in a muscle relaxation state, the pain injury sensitivity index qNOX and the heart rate variability index HRV which are acquired and analyzed in the step S2 are weighted and calculated respectively according to the following formulas to obtain an anesthesia state comprehensive index zeta under the muscle relaxation state, wherein the specific formula is as follows:
ζ 2 ＝qNOX*b 2 ％+HRV*(1-b 2 ％)；
in the formula, ζ 2 For ICU townIn the quiescent state, i.e. the general index of the anaesthesia without muscle relaxation, qNOX the pain injury sensitivity index, HRV the heart rate variability index, b 2 The weight constant is in an ICU sedated state, namely, the weight constant is not given to a muscle relaxation state;
s4, anesthesia pain nociceptive condition assessment: the comprehensive index zeta of the anesthesia state under the general anesthesia muscle relaxation state obtained by the analysis step S3 1 And a combined index zeta for the anaesthesia status in the ICU sedated state, i.e. without muscle relaxation 2 To evaluate the nociceptive degree of the anesthesia pain of the patient.
2. The method of claim 1, wherein the method comprises the steps of: the weight constant b in the step S3 1 In the range of 60-80.
3. The method for anesthesia pain nociceptive evaluation based on electroencephalographic signals and heart rate variability of claim 1, wherein: the method for analyzing the acquired electrocardiosignals to obtain the heart rate variability index HRV by the electrocardio-analysis equipment in the step S2 is one of a time domain analysis method, a frequency domain analysis method and a nonlinear analysis method.
4. The method of claim 3, wherein the method comprises the steps of: when the electrocardio data acquired in the step S2 are analyzed by adopting a time domain analysis method, indexes of SDNN, SDANN and RMSSD of the 24-hour time domain analysis of the heart rate variability are (141 +/-39) ms, (127 +/-35) ms and (27 +/-l 2) ms respectively.
5. The method of claim 1, wherein the method comprises the steps of: in the step S4, during the operation anesthesia, the electroencephalogram consciousness index qCON is 40-60, and the anesthesia state comprehensive index ζ 1 At 50-60 hours, the patient can reach the ideal anesthesia state close to the physiology, no serious cardiovascular stress reaction occurs,Physical movement and over-deep anesthesia conditions.
6. The method of claim 5, wherein the method comprises the steps of: in the anesthetic recovery period, after the medicine is stopped, the electroencephalogram consciousness index qCON and the anesthesia state comprehensive index zeta 2 The value will rise with drug metabolism when the patient is suitably stimulated, if ζ 2 >qCON, and greater than 15 values, the patient is assessed to be able to wake up.
7. The method of claim 1, wherein the method comprises the steps of: the weight constant b of the general anesthesia muscle in the loose state in the step S3 1 Greater than the weight constant b in the ICU sedated state, i.e. not to muscle relaxation 2 。
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