CN114224292A - Anesthesia depth early warning monitoring method and system, electronic device and storage medium - Google Patents
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- 206010002091 Anaesthesia Diseases 0.000 title claims abstract description 94
- 230000037005 anaesthesia Effects 0.000 title claims abstract description 90
- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000003444 anaesthetic effect Effects 0.000 claims abstract description 55
- 238000002347 injection Methods 0.000 claims abstract description 19
- 239000007924 injection Substances 0.000 claims abstract description 19
- 210000000133 brain stem Anatomy 0.000 claims abstract description 14
- 230000000763 evoking effect Effects 0.000 claims abstract description 14
- 230000005540 biological transmission Effects 0.000 claims abstract description 9
- 230000036772 blood pressure Effects 0.000 claims description 14
- 210000003205 muscle Anatomy 0.000 claims description 14
- 230000008602 contraction Effects 0.000 claims description 8
- 230000003321 amplification Effects 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 11
- 239000003193 general anesthetic agent Substances 0.000 abstract description 3
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- 238000001514 detection method Methods 0.000 description 5
- 238000001914 filtration Methods 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
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- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000011514 reflex Effects 0.000 description 2
- 208000003870 Drug Overdose Diseases 0.000 description 1
- 206010021118 Hypotonia Diseases 0.000 description 1
- 208000007101 Muscle Cramp Diseases 0.000 description 1
- 206010033296 Overdoses Diseases 0.000 description 1
- 208000005392 Spasm Diseases 0.000 description 1
- 208000003443 Unconsciousness Diseases 0.000 description 1
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- 206010003119 arrhythmia Diseases 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
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- 210000004556 brain Anatomy 0.000 description 1
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- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
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Abstract
The invention provides an anesthesia depth early warning monitoring method, an anesthesia depth early warning monitoring system, electronic equipment and a storage medium, and relates to the technical field of anesthesia monitoring, wherein the method comprises the following steps: s1: acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment; s2: amplifying preset body parameter information and brainstem auditory evoked potential information through a signal amplifier to obtain a patient state signal, and processing noise generated in the transmission process of the amplified patient state signal through wavelet packet denoising; s3: transmitting the denoised patient state signal to a background server, and comparing the denoised patient state signal with dose parameter information stored in the background server to obtain the current anesthesia state information of the patient; s4: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient. The method can monitor and reflect the change of the concentration of the anesthetic drug in time, and effectively monitor and early warn the anesthesia condition of the patient in time.
Description
Technical Field
The invention relates to the technical field of anesthesia monitoring, in particular to an anesthesia depth early warning monitoring method, an anesthesia depth early warning monitoring system, electronic equipment and a storage medium.
Background
Anesthesia is the loss of consciousness of the patient; eliminating pain; resulting in immobility (muscle relaxation); and elimination of unwanted reflexes such as pharyngeal spasms and arrhythmias (reflex suppression). The depth of anesthesia determines whether the patient experiences pain and the time of awareness, and according to clinical statistics, only about two-thirds of patients receive quality anesthesia service, with about 14% of patients being over-anesthetized, 16% of patients being over-anesthetized, and 10% of patients being under shallow time. When the anesthesia is too deep, the drug overdose can cause the respiration to slow down and even stop, and the brain can also lack oxygen, so that the heart of the patient is stopped and the like. If the anesthesia is too shallow, the patient is aware of the operation, and the patient has memory or even feels pain. The change of the concentration of the anesthetic drug can not be responded by monitoring in time, and the anesthesia condition of the patient can not be monitored and early warned effectively in time.
Disclosure of Invention
The invention solves the problem of how to timely monitor and respond the change of the concentration of the anesthetic drug and timely and effectively monitor and early warn the anesthesia condition of a patient.
In order to solve the problems, the invention provides an early warning and monitoring method for anesthesia depth, which comprises the following steps:
s1: acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
s2: amplifying the preset body parameter information and the brainstem auditory evoked potential information through a signal amplifier to obtain a patient state signal, and processing noise generated in the transmission process of the amplified patient state signal through wavelet packet denoising;
s3: transmitting the denoised patient state signal to a background server, and comparing the denoised patient state signal with dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
s4: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
In the method, the body state signals of the patient in the anesthesia process are acquired through the acquisition equipment, the acquired body state signals are amplified and subjected to filtering and denoising, the signal state is truly reflected, the interference of other signals is not easy to occur, and the detection capability of the body state signals of the patient is remarkably improved. The denoised patient state signals are transmitted to a background server, dosage parameter information is prestored on the background server and comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure transmission reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to various dosages, a matched safety parameter range can be found corresponding to the anesthetic dosage, and the anesthetic state of the patient is guaranteed. The change in the anesthesia state is reflected in time to reduce the operation and anesthesia risks, and anesthetic with different doses can be applied according to different patients to achieve proper anesthesia so as to avoid the damage of over-anesthesia to the bodies of the patients.
Further, the step S3 includes:
s31: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
s32: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
In the method, the matched safe parameter range is found corresponding to the anesthetic dose, and the anesthetic state of the patient is ensured. When the parameters of the patient are inconsistent with the range of the state information parameters corresponding to the anesthetic dosage, the dosage needs to be adjusted in time, and the state performance of the patient after the anesthetic is injected needs to be paid attention to in time.
Further, the acquisition equipment comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor and an electroencephalogram signal sensor.
Further, the dose parameter information includes temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to multiple doses.
An electronic device, the electronic device comprising: a memory: for storing executable instructions; a processor: the early warning and monitoring method for the depth of anesthesia is implemented by any one of the above schemes when the executable instructions stored in the memory are run.
A computer readable storage medium storing executable instructions which, when executed by a processor, implement the anesthesia depth warning monitoring method according to any of the above aspects.
An early warning monitoring system for depth of anesthesia, comprising:
an acquisition module: the device is used for acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
an amplification denoising module: the signal amplifier is used for amplifying the preset body parameter information and the brainstem auditory evoked potential information to obtain a patient state signal, and the noise generated in the transmission process of the amplified patient state signal is processed through wavelet packet denoising;
a comparison module: the background server is used for transmitting the denoised patient state signal to the background server and comparing the denoised patient state signal with the dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
a dose adjustment module: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
Further, the alignment module comprises:
a first judgment unit: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
a second judgment unit: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
Further, the acquisition equipment comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor and an electroencephalogram signal sensor.
Further, the dose parameter information includes temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to multiple doses.
The technical scheme adopted by the invention has the following beneficial effects:
the invention can continuously monitor and reflect the change of the anesthesia depth in real time, create good operation conditions, reflect the change in the anesthesia state in time to reduce the operation and anesthesia risks, monitor the body reaction of a patient after applying different doses of anesthetic, ensure that the body state of the patient under the dose is in a safe parameter range so as to achieve proper anesthesia, avoid the damage of over-anesthesia to the body of the patient, truly reflect the signal state after filtering and denoising acquired signals, is not easily interfered by other signals, obviously improves the detection capability of the body state signals of the patient, and avoids the occurrence of false alarm under the condition of missing report.
Drawings
Fig. 1 is a first flowchart of an anesthesia depth early warning monitoring method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a anesthesia depth early warning monitoring method according to a first embodiment of the present invention;
fig. 3 is a first structural diagram of an anesthesia depth early warning and monitoring system according to a second embodiment of the present invention;
fig. 4 is a second structural diagram of an anesthesia depth early warning monitoring system according to a second embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
Example one
The embodiment provides an early warning and monitoring method for anesthesia depth, as shown in fig. 1 and fig. 2, the method includes the steps of:
s1: acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
s2: amplifying preset body parameter information and brainstem auditory evoked potential information through a signal amplifier to obtain a patient state signal, and processing noise generated in the transmission process of the amplified patient state signal through wavelet packet denoising;
s3: transmitting the denoised patient state signal to a background server, and comparing the denoised patient state signal with dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
s4: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
Specifically, the body state signals of the patient in the anesthesia process are collected through the collecting equipment, the collected body state signals are amplified and denoised through filtering, the signal state is truly reflected, the interference of other signals is not easy to happen, and the detection capability of the body state signals of the patient is remarkably improved. The denoised patient state signals are transmitted to a background server, dosage parameter information is prestored on the background server and comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure transmission reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to various dosages, a matched safety parameter range can be found corresponding to the anesthetic dosage, and the anesthetic state of the patient is guaranteed. The change in the anesthesia state is reflected in time to reduce the operation and anesthesia risks, and anesthetic with different doses can be applied according to different patients to achieve proper anesthesia so as to avoid the damage of over-anesthesia to the bodies of the patients.
Referring to fig. 2, step S3 includes:
s31: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
s32: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
Specifically, a matched safe parameter range is found corresponding to the anesthetic dose, and the anesthetic state of the patient is ensured. When the parameters of the patient are inconsistent with the range of the state information parameters corresponding to the anesthetic dosage, the dosage needs to be adjusted in time, and the state performance of the patient after the anesthetic is injected needs to be paid attention to in time.
The acquisition equipment comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor and an electroencephalogram signal sensor.
The dose parameter information comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to various doses.
An electronic device, the electronic device comprising: a memory: for storing executable instructions; a processor: when the early warning and monitoring method is used for operating the executable instructions stored in the memory, the early warning and monitoring method for the depth of anesthesia in any scheme is realized.
A computer readable storage medium storing executable instructions which, when executed by a processor, implement the anesthesia depth warning monitoring method of any one of the above aspects.
The method can continuously monitor and reflect the change of the anesthesia depth in real time, create good operation conditions, reflect the change in the anesthesia state in time to reduce operation and anesthesia risks, monitor the body reaction of a patient after applying different doses of anesthetic, ensure that the body state of the patient under the dose is within a safe parameter range to achieve proper anesthesia, avoid the damage of over-anesthesia to the body of the patient, truly reflect the signal state after filtering and denoising acquired signals, is not easily interfered by other signals, remarkably improves the detection capability of the body state signals of the patient, and avoids the occurrence of false alarm under the condition of missing report.
Example two
This embodiment provides an early warning and monitoring system for depth of anesthesia, as shown in fig. 3 and 4, this system includes:
an acquisition module: the device is used for acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
an amplification denoising module: the signal amplifier is used for amplifying the preset body parameter information and the brainstem auditory evoked potential information to obtain a patient state signal, and the noise generated in the transmission process of the amplified patient state signal is processed through wavelet packet denoising;
a comparison module: the background server is used for transmitting the denoised patient state signal to the background server and comparing the denoised patient state signal with the dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
a dose adjustment module: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
Referring to fig. 4, the comparing module includes:
a first judgment unit: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
a second judgment unit: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
The acquisition equipment comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor and an electroencephalogram signal sensor.
The dose parameter information comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to various doses.
This system can last through acquireing the module and comparing the module, real-time supervision and the change of embodying the anesthesia degree of depth, create good operation condition, change in the timely reflection anesthesia state reduces operation and anesthesia risk, can monitor the patient and apply the health reaction behind the anesthetic of different doses, ensure that patient's health is in the safe parameter within range under this dose, in order to reach the anesthesia suitable amount, in order to avoid excessive anesthesia to cause the harm to patient's health, if not reach or exceed safe range, then judge and in time adjust the anesthesia dose through first judgement unit and second judgement unit. The acquired body state signals of the patient are filtered and denoised, so that the signal state is truly reflected, the signals are not easily interfered by other signals, the detection capability of the body state signals of the patient is remarkably improved, and the condition of missing report and misinformation is avoided.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure, and such changes and modifications will fall within the scope of the present invention.
Claims (10)
1. An early warning and monitoring method for anesthesia depth is characterized by comprising the following steps:
s1: acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
s2: amplifying the preset body parameter information and the brainstem auditory evoked potential information through a signal amplifier to obtain a patient state signal, and processing noise generated in the transmission process of the amplified patient state signal through wavelet packet denoising;
s3: transmitting the denoised patient state signal to a background server, and comparing the denoised patient state signal with dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
s4: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
2. The early warning monitoring method for the depth of anesthesia of claim 1, wherein the step S3 comprises:
s31: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
s32: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
3. The anesthesia depth early warning monitoring method of claim 1, wherein the collecting device comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor and an electroencephalogram signal sensor.
4. The anesthesia depth early warning and monitoring method of claim 1, wherein the dosage parameter information comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to a plurality of dosages.
5. An early warning and monitoring system for depth of anesthesia, comprising:
an acquisition module: the device is used for acquiring preset body parameter information and brainstem auditory evoked potential information through acquisition equipment;
an amplification denoising module: the signal amplifier is used for amplifying the preset body parameter information and the brainstem auditory evoked potential information to obtain a patient state signal, and the noise generated in the transmission process of the amplified patient state signal is processed through wavelet packet denoising;
a comparison module: the background server is used for transmitting the denoised patient state signal to the background server and comparing the denoised patient state signal with the dose parameter information stored in the background server to obtain the current anesthesia state information of the patient;
a dose adjustment module: and controlling and adjusting the injection of the anesthetic dosage in time according to the current anesthetic state information of the patient.
6. The early warning and monitoring system for anesthesia depth as set forth in claim 5, wherein the comparing module comprises:
a first judgment unit: when the patient state information parameter in the patient state signal is larger than the corresponding dose parameter information, judging whether the injected anesthetic dose enables the patient to enter a deep anesthesia stage, and if not, performing incremental adjustment on the injection of the anesthetic dose in time; if yes, judging that deep anesthesia is performed;
a second judgment unit: when the patient state information parameter in the patient state signal is smaller than the corresponding dose parameter information, judging whether the injected anesthetic enables the patient to enter a deep anesthesia stage, and if not, performing decrement adjustment on the injection of the anesthetic in time; if yes, the deep anesthesia is judged to be entered.
7. The system of claim 5, wherein the collection device comprises a temperature sensor, a heart rate sensor, a muscle signal sensor, a blood pressure sensor, and an electroencephalogram signal sensor.
8. The anesthesia depth early warning and monitoring system of claim 5, wherein the dosage parameter information comprises temperature reference range information, heart rate reference range information, muscle reference contraction range information, blood pressure reference fluctuation range information and electroencephalogram signal reference fluctuation range information corresponding to a plurality of dosages.
9. An electronic device, characterized in that the electronic device comprises:
a memory: for storing executable instructions;
a processor: the method for monitoring the early warning of the depth of anesthesia according to any one of claims 1 to 4, when being executed by executable instructions stored in the memory.
10. A computer readable storage medium storing executable instructions, wherein the executable instructions when executed by a processor implement the method of early warning and monitoring of depth of anesthesia as claimed in any one of claims 1 to 4.
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| CN103735261A (en) * | 2013-12-05 | 2014-04-23 | 北京思路高医疗科技有限公司 | Brain electricity monitoring sedation depth close loop control injection pump device |
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| CN103735261A (en) * | 2013-12-05 | 2014-04-23 | 北京思路高医疗科技有限公司 | Brain electricity monitoring sedation depth close loop control injection pump device |
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