CN101785660A - Method for monitoring surgical stress state under general anesthesia at real time - Google Patents
Method for monitoring surgical stress state under general anesthesia at real time Download PDFInfo
- Publication number
- CN101785660A CN101785660A CN201010101945A CN201010101945A CN101785660A CN 101785660 A CN101785660 A CN 101785660A CN 201010101945 A CN201010101945 A CN 201010101945A CN 201010101945 A CN201010101945 A CN 201010101945A CN 101785660 A CN101785660 A CN 101785660A
- Authority
- CN
- China
- Prior art keywords
- pulse wave
- wave
- pulse
- general anesthesia
- decent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention discloses a method for monitoring surgical stress state under general anesthesia at real time, which is as follows: acquiring the waveform of the volume pulse wave through fingertip photoplethysmography; detecting the positions of the feature points of the waveform of the volume pulse wave at real time, conducting normalization treatment to the descending branch of the pulse wave, and finally conducting nonlinear fitting treatment to the normalized descending branch of the pulse wave through a pulse wave elastic cavity mold to obtain the attenuation rate of the descending branch of the pulse wave. The surgical stress state of a patient under general anesthesia can be represented at real time by the attenuation rate of the descending branch of the pulse wave alone or through the attenuation rate in combination with other parameters of the pulse wave.
Description
Technical field
The invention belongs to the medical science technical field of measurement and test, relate in particular to a kind of method of real-time of surgical stress state under general anesthesia.
Background technology
Traditionally, the assessment to the poised state of nocuity stress under the general anesthesia state-anti-nocuity stress often depends on vegetative reaction relevant some clinical indices such as blood pressure, heart rate, sheds tears and perspires.But these indexs are isolated, nonspecific, are subject to the influence of many factors such as vasoactive agent, blood volume, m receptor blocker etc.In recent years, the anesthetist has also attempted the poised state that some new indexs are used to assess nocuity stress-anti-nocuity stress, as heart rate index of variability, skin resistance, pupil diameter, frontalis electricity, static entropy and reaction entropy poor (Difference between State-entropy andResponse-entropy) etc.But research and facts have proved that the sensitivity of these indexs and specificity are all very low.In a word, also there is not a kind of direct, special index to be used to monitor and assess the poised state of nocuity stress under the general anesthesia state-anti-nocuity stress so far.Therefore, seek a kind of index novel, that have the poised state of nocuity stress-anti-nocuity stress under assessment general anesthesia state high susceptibility and high degree of specificity, noninvasive, real-time and have crucial meaning.
Photoelectricity volume pulsation wave (Photoplethysmographic pulse wave, PPGPW) be according to the microvascular volumetric blood of periphery beat with heart and the pulsating nature that produces change, by photoplethaysmography method (Photoplethysmography, PPG) the periodic waveform of Huo Deing.A typical pulse waveform comprises starting point U ripple, characteristic points such as main wave point P ripple, dicrotic notch point V ripple and dicrotic pulse wave point D ripple, as shown in Figure 1.Studies show that except the detection that is widely used in tremulous pulse peripheral blood oxygen saturation clinically, volume pulsation wave also includes many information such as heartbeat function, hemodynamics, microcirculation Pathophysiology, vegetative nerve function.And nociception can cause a series of changes such as sympathetic activation, stress hormone (catecholamine etc.) secretion increase, renin angiotensin secretion increase, and these changes certainly will cause cardiac function, vascular resistance and hemorheology to change, and then influence the waveform of volume pulsation wave.Therefore, there is some intrinsic, inevitable dependency between nociception and the volume pulsation wave.
At present, existing volume pulsation wave wave amplitude (PPGA), dicrotic wave height (the Notch Amplitude of using, NA), the variation of dicrotic wave height/pulse wave wave amplitude characterizes nociception, but, because the absolute value of the actual pulse wave amplitude of being surveyed is nonsensical, therefore, these observational studies have just been done qualitatively and have been analyzed, do not adopt in objective, the quantized reflection art stress degree reference value, sign amount that promptly stress degree is analyzed pulse wave parameter and dependency that stress degree; Also, lack clinical practice not to quantizing with the corresponding pulse wave parameter of stress state in various degree.Therefore, the present invention sets about from the wave character of pulse wave, and the problem of avoiding amplitude to exist quantizes stress state in various degree.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of method of real-time of surgical stress state under general anesthesia is provided, to improve the perioperative overall security.
The objective of the invention is to be achieved through the following technical solutions: a kind of method of real-time of surgical stress state under general anesthesia comprises the steps:
(1) adopt finger tip photoplethaysmography method to obtain the volume pulsation wave waveform;
(2) real-time detection volume pulse waveform characteristic point position, described characteristic point comprises starting point and main wave point;
(3) be that decent partly carries out normalized with current pulse wave master wave point to the starting point of next pulse wave;
(4) decent after using pulse wave elastic cavity model to normalization partly carries out nonlinear fitting, obtain pulse wave decent attenuation rate, use separately pulse wave decent attenuation rate or can monitor the poised state of patient's nocuity stress-anti-nocuity stress under the general anesthesia state in the operation process in real time in conjunction with other pulse wave parameters, described other pulse wave parameters comprise the ratio, pulse frequency, pulse frequency variability of pulse wave upstroke greatest gradient, pulse wave wave amplitude, dicrotic notch height, dicrotic notch height and pulse wave wave amplitude etc.
The invention has the beneficial effects as follows that the present invention uses the real-time monitor patients surgery of non-invasive methods stress state; Pulse wave decent attenuation rate has the sensitivity and the specificity of height to nocuity stress-anti-nocuity stress, can provide reliable technique to guarantee for the doctor accurately implements analgesia medicine injection in operation process, thereby improve the perioperative overall security.
Description of drawings
Fig. 1 be typical pulse waveform with and each characteristic point position mark figure, wherein on behalf of starting point, P, U represent main wave point;
Fig. 2 is pulse wave elastic cavity one cavity mold type figure;
Fig. 3. be pulse wave normalization exemplary plot.
The specific embodiment
The invention will be further described with enforcement below in conjunction with accompanying drawing, and it is more obvious that purpose of the present invention and effect will become.
The method of real-time of surgical stress state under general anesthesia of the present invention may further comprise the steps:
1, the acquisition of pulse wave data: adopt the infrared pulse transducer of finger tip to survey patient's finger tip volume pulsation wave and change, and obtain digital pulse wave-wave shape via 12 A/D converters.
2, the detection of pulse wave characteristic point: detect the second dervative maximum value position of each pulse wave, and with the starting point U of this position, begin to detect the maximum of points of pulse wave, be main wave point P from the U point as pulse wave.
3, pulse wave decent data normalization: is the value that decent partly is normalized into 0 to 1 scope with current pulse wave master wave point to the starting point of next pulse wave, and the pulse wave shape is constant before and after the normalization.
4, the calculating of pulse wave decent attenuation rate: for example, adopt pulse wave elastic cavity one cavity mold type, this model formation is
A in the formula (1)
3Be pulse wave decent attenuation rate, formula (1) launched with Maclaurin series, and remained into second order term, obtain:
P=b
1* t
2+ b
2* t+b
3Formula (2)
Wherein,
b
3＝a
1+a
2。
Use formula (2) match normalization pulse wave decent data can obtain b
1, b
2And b
3Again by formula (3)
a
3=-b
2/ 2b
3Formula (3)
Can get pulse wave decent attenuation rate RC, i.e. a
3
In pulse wave decent attenuation rate, R represents the whole Peripheral resistance of cardiovascular system, C represents whole compliance, both products can react the variation that cardiovascular system stress produce because of surgery, therefore use pulse wave decent attenuation rate separately or (comprise pulse wave upstroke greatest gradient in conjunction with other pulse wave parameters, the pulse wave wave amplitude, the dicrotic notch height, the ratio of dicrotic notch height and pulse wave wave amplitude, pulse frequency, pulse frequency variability etc.) can monitor the poised state of patient's nocuity stress-anti-nocuity stress under the general anesthesia state in the operation process in real time.
Claims (1)
1. the method for real-time of a surgical stress state under general anesthesia is characterized in that, comprises the steps:
(1) adopt finger tip photoplethaysmography method to obtain the volume pulsation wave waveform.
(2) real-time detection volume pulse waveform characteristic point position, described characteristic point comprises starting point and main wave point.
(3) be that decent partly carries out normalized with current pulse wave master wave point to the starting point of next pulse wave.
(4) decent after using pulse wave elastic cavity model to normalization partly carries out nonlinear fitting, obtain pulse wave decent attenuation rate, use separately pulse wave decent attenuation rate or can monitor the poised state of patient's nocuity stress-anti-nocuity stress under the general anesthesia state in the operation process in real time in conjunction with other pulse wave parameters, described other pulse wave parameters comprise the ratio, pulse frequency, pulse frequency variability of pulse wave upstroke greatest gradient, pulse wave wave amplitude, dicrotic notch height, dicrotic notch height and pulse wave wave amplitude etc.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010101945A CN101785660A (en) | 2010-01-28 | 2010-01-28 | Method for monitoring surgical stress state under general anesthesia at real time |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010101945A CN101785660A (en) | 2010-01-28 | 2010-01-28 | Method for monitoring surgical stress state under general anesthesia at real time |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101785660A true CN101785660A (en) | 2010-07-28 |
Family
ID=42529147
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010101945A Pending CN101785660A (en) | 2010-01-28 | 2010-01-28 | Method for monitoring surgical stress state under general anesthesia at real time |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101785660A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013045119A1 (en) | 2011-09-30 | 2013-04-04 | Latvijas Universitate | Device for the determination of peripheral regional anaesthesia using contactless photoplethysmography |
| CN108272441A (en) * | 2018-01-30 | 2018-07-13 | 浙江大学 | Pain index continuous monitoring device |
-
2010
- 2010-01-28 CN CN201010101945A patent/CN101785660A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013045119A1 (en) | 2011-09-30 | 2013-04-04 | Latvijas Universitate | Device for the determination of peripheral regional anaesthesia using contactless photoplethysmography |
| CN108272441A (en) * | 2018-01-30 | 2018-07-13 | 浙江大学 | Pain index continuous monitoring device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ding et al. | Continuous blood pressure measurement from invasive to unobtrusive: Celebration of 200th birth anniversary of Carl Ludwig | |
| Kurylyak et al. | A Neural Network-based method for continuous blood pressure estimation from a PPG signal | |
| US11375911B2 (en) | Carotid physiological parameter monitoring system | |
| TW201019898A (en) | Method and apparatus for presenting heart rate variability by sound and/or light | |
| CN103598876B (en) | Data processing method and system | |
| CN101297752A (en) | False positive reduction in SPO2 atrial fibrillation detection using average heart rate and NIBP | |
| CN103445767B (en) | The full-automatic autonomic nervous function detector of sensor monitoring interactive controlling | |
| EP3545832B1 (en) | Correction method for pulse wave propagation time related to diastolic blood pressure and systolic blood pressure | |
| CN103153175A (en) | Diagnostic classifications of pulse signal waveform data | |
| TWI429417B (en) | Erectile function monitoring system and its monitoring method | |
| CN106539580B (en) | Continuous monitoring method for dynamic change of autonomic nervous system | |
| JP2008295517A (en) | Analysis system and method of pulse diagnosis in doctor of chinese medicine | |
| TW200423905A (en) | Method and device for analysis of heart rate variability (HRV) | |
| CN104983412B (en) | A kind of central aortic systolic phase average normalized blood flow waveform model and the method that aortic pulse wave passing time is obtained based on it | |
| TW200841860A (en) | Analysis system and method for pulse diagnosis of Chinese medicine | |
| CN103767694B (en) | Method for accurately extracting cuff pressure shockwave | |
| CN101785660A (en) | Method for monitoring surgical stress state under general anesthesia at real time | |
| Li et al. | Noninvasive continuous blood pressure estimation with peripheral pulse transit time | |
| CN1422591A (en) | Sensor capable of synchronously measuring electrocardio, pulse and sound-wave signals from neck | |
| Zhang et al. | Development of a Continuous Blood Pressure Monitoring System based on Pulse Transit Time and Hemodynamic Covariates. | |
| CN104688200A (en) | Heart information analysis system | |
| Nabeel et al. | Deep learning for blood pressure estimation: an approach using local measure of arterial dual diameter waveforms | |
| CN113171061B (en) | Noninvasive vascular function assessment method, noninvasive vascular function assessment device, noninvasive vascular function assessment equipment and noninvasive vascular function assessment medium | |
| Wang et al. | An improved algorithm for noninvasive blood pressure measurement | |
| Balestrieri et al. | Oscillometric blood pressure waveform analysis: challenges and developments |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20100728 |