Validation Experiment of a New Brain Oxygen Saturation Monitoring Instrument


 Background The blood samples of jugular vein and radial artery were obtained from healthy adults by induced oxygen desaturation test under pulse oximetry conditions on each platform. The oxygen saturation of the two blood samples was analyzed and measured by a Co-oximeter. Thus, the oxygen saturation value of jugular vein (SjvO2) and radial artery (SaO2) were obtained. According to the clinical empirical formula Sa/vO2 = 0.7×S jvO2 + 0.3×SaO2, the oxygen saturation value of brain tissue for invasive blood gas analysis was calculated. To calculate the difference between brain oxygen saturation (rSO2) measured by brain oxygen saturation monitor (hereinafter referred to as brain oxygen analyzer) and brain oxygen saturation (Sa/vO2) measured by invasive blood gas analysis, analyze the consistency of brain oxygen saturation measured by brain oxygen saturation analyzer and blood gas analyzer, and calculate the accuracy of brain oxygen saturation monitoring. The blood samples of jugular vein and radial artery were obtained from healthy adults by induced oxygen desaturation test under pulse oximetry conditions on each platform. The oxygen saturation of the two blood samples was analyzed and measured by a Co-oximeter. Thus, the oxygen saturation value of jugular vein (SjvO2) and radial artery (SaO2) were obtained. According to the clinical empirical formula Sa/vO2 = 0.7×S jvO2 + 0.3×SaO2, the oxygen saturation value of brain tissue for invasive blood gas analysis was calculated. To calculate the difference between brain oxygen saturation (rSO2) measured by brain oxygen saturation monitor (hereinafter referred to as brain oxygen analyzer) and brain oxygen saturation (Sa/vO2) measured by invasive blood gas analysis, analyze the consistency of brain oxygen saturation measured by brain oxygen saturation analyzer and blood gas analyzer, and calculate the accuracy of brain oxygen saturation monitoring. MethodsIn healthy adult volunteers, the induced desaturation test, in which blood gas analysis measures the subjects' internal jugular vein and carotid artery blood samples at each pulse oximetry platform range. Clinical trials were conducted to verify the expected effectiveness and safety of the brain oxygen saturation monitor. Ten subjects were selected into the study according to strict inclusion criteria and exclusion criteria. Subjects should monitor their electrocardiogram, pulse, blood pressure, SPO2 and other vital signs, perform retrograde puncture catheterization of internal jugular vein and radial artery catheterization, ensure the safety of subjects during the period, and record the values of blood samples before and after collection. The oxygen was lowered according to the set platform(according to Figure2), and physiological parameters were monitored during the process. There were 9 platforms in total, and each platform lasted about 5 minutes. The oxygen saturation value of jugular vein (SJVO2) and the oxygen saturation value of carotid artery (SaO2) were obtained, and the tissue oxygen saturation value of sa1vO2 was calculated according to the clinical empirical formula SA1VO2 = 0.7xSJVO2 + 0.3xSaO2. During the blood collection process, the blood oxygen saturation (RSO2) of the subjects' brain was continuously monitored by tissue oximeter noninvastively. The consistency of non-invasive monitoring value RSO2 and invasive measurement value sa1vO2 was compared, and scientific statistical analysis was carried out to confirm whether the accuracy of tissue oxygen meter meets clinical requirements. ResultsAbsolute accuracy evaluation: Further linear regression analysis was performed on the non-invasive monitoring value of the test instrument and the blood gas analysis detection value. The fitting linear equation was rSO2=4.89+0.93×Sa/vO2, where the slope was 0.93, close to 1. The regression line was close to the 45° diagonal trend. The correlation coefficient between rSO2 and Sa/vO2 was 0.95, indicating that there was a good correlation between the non-invasive monitoring value and the invasive blood gas analysis value. Trend accuracy evaluation: It can be seen that the average difference between the trend change value of the test instrument monitoring value and the blood gas analysis value is very small (Bs=Means(△rSO2-△Sa/vO2)=-0.32%), indicating that the trend change of the test instrument monitoring value and the blood gas analysis value is basically consistent in statistical significance. The 95% consistency interval of the difference of trend change between the two devices is narrow ([BS-1.96SD, Bs+1.96SD]=[-6.13%, 5.5%]), indicating that the difference of trend change between the two devices has small variation. The above analysis shows that there is a good consistency between the non-invasive monitoring value of the test equipment and the invasive test results of the blood gas analysis equipment. The linear regression analysis was made on the changes of the test instrument monitoring value and blood gas analysis detection value. The fitting linear equation was △rSO2=-0.98+0.93△Sa/vO2, and the slope was 0.93, which was close to 1. The regression line was close to the 45° diagonal trend. The correlation coefficient of trend changes of the two equipment is 0.95, indicating that the change trend of the test equipment and blood gas analyzer has a good correlation. Analyze the trend changes value, due to the variation of every subjects is relative to the first platform first blood gas analysis values as the base to calculate, so the data points less than 10 absolute value analysis, the test equipment and the trend of blood gas analysis change the average deviation is 0.32%, the standard deviation is 2.97%, RMS very different trend is 2.97%, The clinical evaluation standard of trend Arms≤5% was met. ConclusionThere is good correlation and consistency between the test instrument monitoring value and the absolute value of blood gas analyzer.Trial Registration: The study has been retrospectively registered in Chinese Clinical Trial Registration with the registration number ChiCTR2100052321, date of registration 24/10/2021.


Abstract Background
The blood samples of jugular vein and radial artery were obtained from healthy adults by induced oxygen desaturation test under pulse oximetry conditions on each platform. The oxygen saturation of the two blood samples was analyzed and measured by a Co-oximeter. Thus, the oxygen saturation value of jugular vein (SjvO2) and radial artery (SaO2) were obtained. According to the clinical empirical formula Sa/vO2 = 0.7×S jvO2 + 0.3×SaO2, the oxygen saturation value of brain tissue for invasive blood gas analysis was calculated. To calculate the difference between brain oxygen saturation (rSO2) measured by brain oxygen saturation monitor (hereinafter referred to as brain oxygen analyzer) and brain oxygen saturation (Sa/vO2) measured by invasive blood gas analysis, analyze the consistency of brain oxygen saturation measured by brain oxygen saturation analyzer and blood gas analyzer, and calculate the accuracy of brain oxygen saturation monitoring. The blood samples of jugular vein and radial artery were obtained from healthy adults by induced oxygen desaturation test under pulse oximetry conditions on each platform. The oxygen saturation of the two blood samples was analyzed and measured by a Cooximeter. Thus, the oxygen saturation value of jugular vein (SjvO2) and radial artery (SaO2) were obtained. According to the clinical empirical formula Sa/vO2 = 0.7×S jvO2 + 0.3×SaO2, the oxygen saturation value of brain tissue for invasive blood gas analysis was calculated. To calculate the difference between brain oxygen saturation (rSO2) measured by brain oxygen saturation monitor (hereinafter referred to as brain oxygen analyzer) and brain oxygen saturation (Sa/vO2) measured by invasive blood gas analysis, analyze the consistency of brain oxygen saturation measured by brain oxygen saturation analyzer and blood gas analyzer, and calculate the accuracy of brain oxygen saturation monitoring.

Methods
In healthy adult volunteers, the induced desaturation test, in which blood gas analysis measures the subjects' internal jugular vein and carotid artery blood samples at each pulse oximetry platform range.
Clinical trials were conducted to verify the expected effectiveness and safety of the brain oxygen saturation monitor. Ten subjects were selected into the study according to strict inclusion criteria and exclusion criteria. Subjects should monitor their electrocardiogram, pulse, blood pressure, SPO2 and other vital signs, perform retrograde puncture catheterization of internal jugular vein and radial artery catheterization, ensure the safety of subjects during the period, and record the values of blood samples before and after collection. The oxygen was lowered according to the set platform(according to Figure2), and physiological parameters were monitored during the process. There were 9 platforms in total, and each platform lasted about 5 minutes. The oxygen saturation value of jugular vein (SJVO 2 ) and the oxygen saturation value of carotid artery (SaO 2 ) were obtained, and the tissue oxygen saturation value of sa1vO 2 was calculated according to the clinical empirical formula SA1VO 2 = 0.7xSJVO 2 + 0.3xSaO 2 . During the blood collection process, the blood oxygen saturation (RSO 2 ) of the subjects' brain was continuously monitored by tissue oximeter noninvastively. The consistency of non-invasive monitoring value RSO2 and invasive measurement value sa1vO 2 was compared, and scienti c statistical analysis was carried out to con rm whether the accuracy of tissue oxygen meter meets clinical requirements.

Results
Absolute accuracy evaluation: Further linear regression analysis was performed on the non-invasive monitoring value of the test instrument and the blood gas analysis detection value. The tting linear equation was rSO2=4.89+0.93×Sa/vO2, where the slope was 0.93, close to 1. The regression line was close to the 45° diagonal trend. The correlation coe cient between rSO2 and Sa/vO2 was 0.95, indicating that there was a good correlation between the non-invasive monitoring value and the invasive blood gas analysis value. Trend accuracy evaluation: It can be seen that the average difference between the trend change value of the test instrument monitoring value and the blood gas analysis value is very small (Bs=Means(△rSO2-△Sa/vO2)=-0.32%), indicating that the trend change of the test instrument monitoring value and the blood gas analysis value is basically consistent in statistical signi cance. The 95% consistency interval of the difference of trend change between the two devices is narrow ([BS-1.96SD, Bs+1.96SD]=[-6.13%, 5.5%]), indicating that the difference of trend change between the two devices has small variation. The above analysis shows that there is a good consistency between the non-invasive monitoring value of the test equipment and the invasive test results of the blood gas analysis equipment. The linear regression analysis was made on the changes of the test instrument monitoring value and blood gas analysis detection value. The tting linear equation was △rSO2=-0.98+0.93△Sa/vO2, and the slope was 0.93, which was close to 1. The regression line was close to the 45° diagonal trend. The correlation coe cient of trend changes of the two equipment is 0.95, indicating that the change trend of the test equipment and blood gas analyzer has a good correlation. Analyze the trend changes value, due to the variation of every subjects is relative to the rst platform rst blood gas analysis values as the base to calculate, so the data points less than 10 absolute value analysis, the test equipment and the trend of blood gas analysis change the average deviation is Introduction Blood oxygen saturation is an index to monitor the oxygen supply and oxygenation of human blood or local tissues, and an important physiological parameter of respiratory circulation, as well as a key reference index for the protection of vital organs in perioperative period. Traditional blood oxygen saturation includes arterial (SA02) and venous (SV02) oxygen saturation, in which arterial oxygen saturation has achieved non-invasive continuous monitoring of CSp02, that is, clinical monitoring of nger end pulse oxygen value. However, it can only be monitored when there is pulse in the nger artery, and it only re ects the oxygen saturation of peripheral blood, which cannot truly re ect the oxygenation of an organ (such as brain tissue), and it cannot be measured when there is weak pulse, hypoperfusion, Brain oxygen saturation monitor is a non-invasive and continuous monitoring instrument for absolute oxygen saturation of brain tissue based on NIRS tissue oxygen parameter monitoring technology. In tissue optics, Near Infrared Light (NIR) generally refers to Infrared Light with a wavelength of 700-900nm, which has good penetration of human tissues and is called "Spectral Window" [1,2] . Figure 1 shows the absorption spectra of HHb, HbO2 and water at 650-1000nm wavelengths [3] .
The signi cant differences among the three can be clearly identi ed from Figure 1. In particular, the absorption rate of water at this wavelength is much lower than HHb and HbO2. Therefore, if near-infrared light with appropriate wavelength is selected, and light with the same light intensity and different wavelength is projected onto human tissue in a certain time sequence, and the outgoing light of each wavelength is received in the same time sequence at the set position (as shown in Figure 2), it is obvious that the light intensity of each wavelength received will be different. These different light intensity signals are converted into electrical signals by special photosensitive chip, and a series of processing such as acquisition, ampli cation, ltering and calculation of these electrical signals can be obtained.
The concentrations of HHb and HbO2 in the texture or their changes over time, as well as the oxygen saturation rSO2 of local tissues (that is, tissues located below the sensor and can be scanned by the light source on the sensor), and other information about tissue oxygenation status. The test instrument, MOC-100, sends different wavelengths of near-infrared light through the scalp and skull to the brain via disposable sensors on the patient's forehead. The re ected light is captured by a detector located on the sensor for optimal signal acquisition. After analyzing the re ected light, the absolute value of brain tissue oxygen saturation is displayed on the screen and a graphical representation of the historical values is provided.
Due to the late start of research on near-infrared tissue oxygen parameter detection technology in China, and the serious lag in innovative scienti c research mode of combining medical and industrial medical devices in China, similar products in China lag behind the United States at least for more than ten years in terms of hardware design, software algorithm and system interaction.
In this eld in order to catch up with world-class technical level and developing advanced tissue oxygen monitoring equipment, in recent years, many families (wuhan) co., LTD, wuhan university of science and technology zhongnan hospital in near infrared tissue oxygen saturation monitoring technology launched a series of basic research, technology research, product engineering, clinical trials and other medical professionals combined with scienti c research cooperation mode. The purpose of this clinical trial is to verify the expected safety and effectiveness of recent research results of "brain tissue oxygen saturation monitor" through clinical trials.
Brain tissue oxygen saturation monitor (hereinafter referred to as tissue oxygen meter) can monitor the oxygenation of microcirculation vessels (mainly microveins and microveins) in tissues. The method is based on chromophore oxygenated hemoglobin (HbO 2 ) from human tissues.
With different absorption, scattering and re ection characteristics of deoxyhemoglobin (HHb) in the near infrared spectrum (660~940nm), the self-developed sensor emits non-invasive low-density near infrared light through the patient's cerebral cortex, cranial bone and gray matter, and measures the re ected light received by the near and far phototube( Figure 1). Then the tissue oxygen saturation value and monitoring curve were obtained by analyzing, identifying and calculating the light intensity signal with a unique algorithm.
Tissue oxygenometer is a continuous, non-invasive device that monitors tissue oxygen saturation in real time, re ects the balance between tissue oxygen supply and oxygen demand, and alerts medical staff on tissue hypoxia or hyperoxygenation events, so as to remind medical staff to take possible interventions to protect the normal physiological function of patients' vital organs and tissues.
Blood oxygen saturation is an index to monitor the oxygen supply and oxygenation of human blood or local tissues, and an important physiological parameter of respiratory circulation, as well as a key reference index for the protection of vital organs in perioperative period. Traditional blood oxygen saturation includes arterial (SAO 2 ) and venous (SVO 2 ) oxygen saturation, in which arterial oxygen saturation has achieved non-invasive continuous monitoring of CSpO 2 , that is, clinical monitoring of nger end pulse oxygen value. However, it can only be monitored when there is pulse in the nger artery, and it only re ects the oxygen saturation of peripheral blood, which cannot truly re ect the oxygenation of an organ (such as brain tissue), and it cannot be measured when there is weak pulse, hypoperfusion, cardiac arrest and other conditions.
In recent years, as the noninvasive continuous near-infrared local tissue oxygen saturation monitoring instrument of the clinical application and promotion, clinical practice, has achieved important organs (such as) the brain tissue oxygen supply and oxygen demand comprehensive conditions of real-time, continuous and noninvasive, digital monitoring, the monitoring technology of clinical advantages are more obvious. But the technology has been monopolized by American medical giants, such as That all methods used in the experiment are followed in accordance with the relevant guidelines and regulations.

Study design and population
Twelve subjects were enrolled in the study, among which 10 subjects successfully completed the clinical trial and 2 subjects withdrew from the study due to personal reasons. All the 10 subjects who completed the experiment cooperated or had poor cooperation record. Pulse oxygen clinical range of 70%-100%, pulse oxygen SpO2 less than 70%, may lead to life-threatening.
SpO2 was divided into nine platforms (Figure 4), and induced hypoxia test was conducted on the subjects. The hypoxia process was induced, and the brain oxygen saturation of the subjects changed from high to low, covering the clinical range of 50%-80%. Two data groups were obtained on each gradient platform, and each data group was recorded as follows: cerebral oxygenometer value rSO 2 : rSO 2 left 1 and rSO 2 right 1 at the beginning of blood drawing and rSO 2 left 2 and rSO 2 right 2 at the end of blood drawing, calculated So let's call the mean rSO 2 ; Blood gas analysis value Sa/vO 2 : SjvO 2 was obtained by blood gas analysis of venous blood, and SaO 2 was obtained by blood gas analysis of arterial blood. Sa/vO 2 was calculated according to the formula 0.7×SjvO 2 +0.3×SaO 2 weighted average.
Method and time selection for evaluating, recording and analyzing validity parameters.Pulse oxygen clinical range of 70%-100%, pulse oxygen SpO 2 less than 70%, may lead to life-threatening. SpO2 was divided into nine platforms (Table 1), and induced hypoxia test was conducted on the subjects. The hypoxia process was induced, and the brain oxygen saturation of the subjects changed from high to low, covering the clinical range of 50%-80%. Two data groups were obtained on each gradient platform, and each data group was recorded as follows: cerebral oxygenometer value rSO 2 : rSO 2 left 1 and rSO 2 right 1 at the beginning of blood drawing and rSO 2 left 2 and rSO 2 right 2 at the end of blood drawing, calculated. So let's call the mean rSO 2 ; Blood gas analysis value Sa/vO2: SjvO 2 was obtained by blood gas analysis of venous blood, and SaO 2 was obtained by blood gas analysis of arterial blood. Sa/vO 2 was calculated according to the formula 0.7×SjvO 2 +0.3×SaO 2 weighted average.
Absolute accuracy of calculation as de ned in this clinical protocol, if ≤10%, brain oxygenometer can be clinically accepted as an instrument for displaying absolute value of tissue oxygen saturation. Auxiliary Bland-Altman analysis with difference (rSO 2 (I)−Sa/vO 2 (I)) . As y axis, bland-Altman plot was drawn with (rSO 2 i+Sa/vO 2 i) /2 as X axis. The excluded data were explained to calculate the mean deviation Bs, variance S 2 of the total deviation and variance S 2 of different individual deviation, and the consistency limit Bs±1.96SD was analyzed. If the accuracy of trend calculation is less than 5% as de ned in Chapter 15 of this clinical protocol, the brain oxygenometer can be clinically accepted as an instrument for displaying trends in tissue oxygen saturation. Bland-altman diagram is plotted with the difference [δ rSO2(j)− δ Sa/vO2(j)] as y axis and [δ rSO2(j)+ δ Sa/vO2(j)]/2 as X axis. The excluded data are explained.
Average deviation Bs, variance of population deviation and variance of different individual deviation were calculated, and consistency limit Bs±1.96SD was analyzed. Finally Ten people were selected for the nal experiment. We will conduct experiments according to the following procedures (Figure 3), experiments were carried out using a lowering oxygen platform (Figure 4).

Equipment and procedures Preparation
The subject was not sedated or anesthetized the night before the test; The blood gas analyzer must be calibrated before use to ensure its measurement accuracy (SaO2 accuracy is not less than 1%), and must be used in accordance with the manufacturer's recommendations and auxiliary materials; Preparation of consumable materials: single vena cava puncture catheter, arterial indwelling needle, arterial blood gas sampler, 2ml syringe, 5ml syringe, heparin salt solution, disposable pressure sensor. After testing the normal gas path can produce different partial pressure of oxygen gas mixing instrument, to achieve the mixed output of O2, N2 and CO2, the concentration of O2 in the output gas FiO2 can be read directly from the equipment; Non-invasive ECG monitoring device and gas monitoring device were used to monitor physiological parameters of subjects. The standard monitor pulse oximeter sensor was placed on the right index nger of the subject. The forehead of the subject is cleaned with alcohol cotton ball. After con rming that the forehead skin of the subject is clean, dry and intact without any powder, oil or lotion, the sensors of the test instrument are placed on the left and right forehead respectively. Put on the respirator mask and perform the oxygen-lowering process according to Figure 1. The oxygen-lowering process (according to gure 4) lasts for 1 minute on each platform and the EtCO2 is kept at ±5 mmHg of the baseline value. FiO2 on each SpO2 platform was recorded to make subjects feel adapted to the deoxygenation process, and each FiO2 value was used as the reference value for subsequent adjustment on each platform. The subjects were placed supine under local anesthesia with 2% lidocaine. The left or right radial artery was punctured with an indent needle, and the catheter was sealed with a pressure sensor connected with pre lled heparinized salt solution. Under local anesthesia with 2% lidocaine, ultrasound guided, the central venous catheter was retrograde penetrated into the right internal jugular vein, and the catheter was placed to the bulb of the internal jugular vein. After the location of the catheter was determined, the pressure sensor of pre lled heparinized salt solution was connected. Medical instrument for the test: Brain tissue oxygen saturation monitor, model: MOC-100; Medical instrument for control: Blood gas analyzer, model: ABL90 FLEX.

Procedures
Accordinng to gure 4 platform 1: The pulse oximeter showed 98%±2%, which was the baseline value of the subjects. After two minutes, 0.5-1ml venous blood sample was slowly extracted, and the extraction time should be > 30s. To reduce the return of non-jugular blood to the jugular bulb. When taking venous blood samples, 0.5-1ml of arterial blood samples were also taken. The cerebral oxygen saturation value rSO2 was recorded at the beginning and end of venous blood sampling. After the rst venous blood sample was taken, the platform was kept stable for 1 minute, and the process of the rst group of blood samples was repeated to obtain the second venous blood sample, the second arterial blood sample, and the cerebral oxygen saturation values of the two groups before and after the venous blood sample was taken. Oxygen was lowered and FiO2 value was adjusted so that the value of the standard monitor pulse oximeter was 95%±2%. After two minutes, the blood sample was repeated to obtain two groups of venous blood samples and arterial blood samples, and the oxygen saturation values of the left and right cerebral brain of the four groups were obtained. Continue to drop oxygen to the pulse oximetry values of each platform, repeat the previous steps to obtain blood and brain oximetry monitoring values, and complete the platform 3-7 test; The subjects were provided with atmosphere, and the baseline value was restored. After two minutes, the blood sampling process of previous steps was repeated. Two groups of venous blood samples and arterial blood samples were obtained in total, and four groups of cerebral oxygen saturation values were obtained. FiO2 value was adjusted so that the pulse oximeter value of the standard monitor was displayed as 100%. After two minutes, the blood sampling process of the previous steps was repeated. Two groups of venous blood samples and arterial blood samples were obtained, and the oxygen saturation values of the left and right cerebral brain of the four groups were obtained. The subjects breathed directly into the atmosphere, returned to baseline values, and 5 minutes later, the experiment ended. After the completion of the test, the jugular vein, arterial catheter, test instruments, standard monitor, pulse oxygen monitor and physiological monitoring instruments were removed, and the subjects were observed for 2 hours. The medical staff checked that the subjects were safe and allowed to leave. 2 days later, the subjects were followed up by telephone to see if there was any abnormality, or the wound of catheterization was examined in outpatient department, and antibiotics were added. (according to gure 4 and gure 5)

Statistics Statistical design, methods and analysis procedures
In this clinical trial, absolute accuracy and trend accuracy were con rmed to be the main indexes to verify the effectiveness of brain oxygenometer. Refer to the accuracy de nition of pulse oximeter and the accuracy de nition of brain oximeter in relevant research [11], and the absolute accuracy of brain oximeter (Arms) was de ned as the root mean square difference between the cerebral oximeter monitoring value and the weighted value Sa/vO 2 of blood oxygen saturation measured by the Co-oximeter. The trend accuracy of oximeter was de ned as the root mean square of the difference between the change of oximeter value and the change of Sa/vO 2 , a weighted value of blood oxygen saturation, measured by the corresponding Co-oximeter. 1)Statistical software: Processing and analysis of data sets by Matlab2016; 2) Basic principles: All statistical inferences adopt two-sided test, the test level with statistical signi cance is set at 0.05, and the con dence interval of parameters is estimated by 95% con dence interval; 3) Missing data: Missing data is not estimated in this study; 4) Eliminating data: Eliminate unstable data sets. From the beginning of collection of jugular vein blood samples to the end of collection, data with changes of blood oxygen saturation measured by quality control equipment (pulse oximeter) exceeding 3% [11] should be eliminated. If the blood oxygen platform has been unstable, all data of the subject shall be removed; The blood oxygen platform is unstable, there is air leakage in the blood drawing process, and the data groups with blood gas separation time exceeding 1.5 hours should be eliminated; Data can be excluded if it is con rmed by review that the test conditions for some data are outside the test protocol; 5) Check outliers: calculate the average of the difference value of the data group. If the difference value of the data group exceeds 4 times of the average value, the data group is judged as an outlier; Absolute accuracy veri cation 1) Absolute accuracy of calculation: The absolute accuracy of the brain tissue oxygen saturation monitor is de ned as the root mean square value of the rSO 2 -SA /vO 2 difference, and the calculation formula is: Wherein, rSO 2 is the of rSO 2 left 1 and the of rSO 2 right 1 displayed by the brain oxygen meter at the beginning of blood drawing, and the brain oxygen meter at the end of blood drawing .The mean values of rSO 2 left 2 and rSO 2 right 2 ; Sa/vO 2 refers to SjvO 2 obtained by blood gas analysis of venous blood and SaO2 obtained by blood gas analysis of arterial blood after blood sampling. The weighted average value calculated according to the formula 0.7×SjvO 2 +0.3×SaO 2 ; I represents the ith valid data group. Root mean square calculation was performed on the difference between the effective data sets of the subjects, and the accuracy was obtained, if ≤10%, the acceptable range; 2)Auxiliary Bland-Altman analysis: Take difference rSO 2 (i)−Sa/vO 2 (i) as Y-axis, and take rSO 2(j) +Sa/vO 2(j) /2 was X-axis, bland-Altman plot was drawn, excluded data were explained, average deviation Bs, of total deviation and of different individual deviation were calculated, and consistency limit Bs± 1.96sd was analyzed.
Trend accuracy veri cation (1)The trend accuracy of the brain tissue oxygen saturation monitor was de ned as the root mean square value of △rSO 2 -△Sa/vO 2 difference. The rst effective data point rSO2 (1) of the rst platform range is taken as the baseline value, and the change between the monitor display value and the baseline △rSO 2(j) when collecting the j+1 effective blood sample is calculated according to Formula (2). Change △Sa/vO 2(j) between the weighted mean of blood gas analysis and baseline within the corresponding platform range was calculated according to Formula (3). Trend accuracy was calculated according to Formula (4). If root mean square ≤5%, it was clinically acceptable.
3) Correlation analysis: linear regression, calculated correlation coe cient S res , calculated precision S res .
The correlation between the adverse events occurred in the test and the test device was analyzed, and the safety of the test device was described and evaluated.

Results
Statistical study population and data set Demographic indicators include age, sex, race and weight. A total of 10 patients were enrolled in and out of the group, including 7 males and 3 females. Age range: 19-30 years old, average age: 24 soil 7.84 years old (mean soil L.96s D), weight range: 50-85kg, average body weight: 63.6 ± 22.5kg (mean soil L.96SD). The details are shown in Table 1.

Absolute accuracy evaluation
Further, linear regression analysis was performed on the non-invasive monitoring value of the test instrument and the blood gas analysis value (as shown in Figure 6). The tting linear equation was rSO 2 =4.89+0.93×S a/v O 2 , with a slope of 0.93, close to 1, and the regression line was close to the 45°d iagonal trend. The correlation coe cient between rSO 2 and S a/v O 2 was 0.95, indicating that there was a good correlation between the non-invasive monitoring value and the invasive blood gas analysis value.
To sum up, the statistical analysis results of the test instrument monitoring values and blood gas analyzer testing values are summarized in Table 2. The mean deviation (Bs), standard deviation (SD), correlation coe cient (R), root mean square difference (Arms) and blood gas analysis were 0.42%, 3.23%, 0.95 and 3.25%, respectively, which met the clinical evaluation standard of Arms≤10%.

Trend accuracy evaluation
The bland-Altman analysis chart of non-invasive monitoring value of test equipment and invasive detection value of blood gas analysis equipment is shown in Figure 7, indicating that the average difference of trend change value of monitoring value of test equipment and detection value of blood gas analysis is very small (Bs=Means(△rSO 2 -△S a/v O 2 )=-0.32%). The results showed that, in statistical signi cance, the trend changes of the test equipment monitoring value and blood gas detection value were basically consistent, and the 95% consistency interval of the trend change difference between the two was narrow ([Bs-1.96SD, Bs+1.96SD]=[-6.13%, 5.5%]), indicating that the trend change difference variation of the two equipment was small. The above analysis shows that there is a good consistency between the non-invasive monitoring value of the test equipment and the invasive test results of the blood gas analysis equipment.
Linear regression analysis was made on the changes in the monitored values of the test instruments and the measured values of blood gas analysis. The analysis gure was shown in Figure 8. The tted linear equation was △rSO 2 =-0.98+0.93△S a/v O 2 , and the slope was 0.93, which was close to 1. The correlation coe cient of trend changes of the two equipment is 0.95, indicating that the change trend of the test equipment and blood gas analyzer has a good correlation.
Analyze the trend changes value, due to the variation of every subjects is relative to the rst platform rst blood gas analysis values as the base to calculate, so the data points less than 10 absolute value analysis, statistical analysis of the results summarized as shown in table 3, the test equipment and blood gas analysis the trend of change the average deviation is 0.32%, the standard deviation is 2.97%, The trend root mean square Arms was 2.97%, which met the clinical evaluation standard of trend Arms≤5%.

Discussion
Brain as the central nervous organ of the human body, its weight is only about 2% of the body weight, but the blood ow and oxygen consumption of brain tissue is very huge, in the quiet state, its blood ow is about 15% of the heart output, oxygen consumption is about the total oxygen consumption of the human body 20% [4] . However, brain tissue itself has almost no energy supply material reserves, and needs to rely on blood circulation to absorb oxygen to maintain normal physiological functions. Therefore, the human brain is highly sensitive to ischemia and hypoxia, and a short period of ischemia and hypoxia may lead to irreversible brain tissue damage [5] . However, standard monitoring methods of systemic arterial and venous oxygen saturation may not represent the oxygenation state in peripheral tissues such as the brain [6,7]. Therefore, maintenance of adequate cerebral oxygenation may increase patient safety by preventing decreased cerebral perfusion and prolonged cerebral tissue ischemia. According to relevant medical statistics, the limit of tolerance of brain tissue to ischemia and hypoxia is 4-6min, and more than 90% of people dying from brain injury suffer from brain tissue ischemia and hypoxia [6] . Under normal condition, oxygen supply and oxygen consumption keep dynamic balance. However, for critically ill patients with special cerebral resuscitation, pathologically dependent oxygen consumption may occur, that is, the increase or decrease of oxygen consumption varies with the increase or decrease of oxygen supply, re ecting the existence of hypoxia and oxygen debt, which may lead to cerebral ischemia, hypoxia and brain tissue damage [7] . Brain is an organ with poor tolerance to hypoxia, but many central nervous system diseases and complications are caused by abnormal brain oxygen metabolism. Therefore, it is very important to monitor cerebral oxygenation from the perspective of maintaining the balance between cerebral oxygen supply and demand to guide brain protection and brain resuscitation.
The oxygen saturation monitor of brain tissue can monitor oxygen supply and oxygen consumption in time and provide reference index for clinical intervention. The brain oxygen saturation monitor measures SarterioleO2, microvenous blood in the brain (SvenuleO2) and capillaries (ScapillaryO2) blood oxygen saturation weighted average, namely: rSO2 = α×SarterioleO2 + β×SvenuleO2 + γ×ScapillaryO2 (equation: α + β + γ = 1), due to the small proportion of capillaries, can be ignored, γ is 0. In the early stage, α and β were established by algorithm veri cation. For example, Invos3100A, the rst commercially available brain oxygenometer product in the world, determined α=0. 25  The test instrument, MOC-100, sends different wavelengths of near-infrared light through the scalp and skull to the brain via disposable sensors on the patient's forehead. The re ected light is captured by a detector located on the sensor for optimal signal acquisition. After analyzing the re ected light, the absolute value of brain tissue oxygen saturation is displayed on the screen and a graphical representation of the historical values is provided.
Every clinical innovation monitoring product is required to evaluate its effectiveness and reliability. The basic principle of the brain oxygen saturation monitor is similar to the pulse oximeter, but it directly measures the oxygen saturation of the brain tissue without the need for arterial pulsation Degrees. According to the Technical Guidelines for Clinical Evaluation of Pulse Oximeter Equipment issued by The State Food and Drug Administration in 2016 and YY 0784-2010, pulse oximeter is used for the induced hypoxia test of healthy adults, and the hypoxia platform covers the range of 70-100% pulse oxygen saturation. The co-oximeter was used to analyze the oxygen saturation of the arterial blood sample as the control or other pulse oximeter was used as the secondary comparison standard but the measured value of the control pulse oximeter could be traced back to the Co-oximeter. The test values of the experimental group were compared with those of blood gas analysis to calculate the accuracy of the test instrument. There is a strong clinical need for accurate tracking of rSo2 in peripheral tissues, particularly brain tissue dur-ing the perioperative phase to avoid ischemia [11] . A recent study compared the performance of 5 different commer-cially available regional oximeters in normal volunteers during hypoxemia. This evaluation demonstrated that currently available regional oximeters often perform with limited absolute accuracy, manifesting in an average ARMS of 9.1% for all 5 devices with a range of 4.28% to 9.68%. 10 We believe these ndings demonstrate that enhancements to regional oximetry are desirable and would improve clinical con dence and clinical management with regional oximetry. [12] In this paper, we report the results of a clinical study evaluating the absolute and trending accuracy of a new brain pulse oximeter (MOC-100) for continuous, non-invasive measurements of rSo2. The bland-Altman analysis diagram of non-invasive blood oxygen saturation monitoring value and invasive blood gas detection value of the test device obtained in clinical trials is drawn by analyzing the data, as shown in Figure 6. It can be seen that the average difference between the test instrument monitoring value and the blood gas detection value is very small (Bs=Means(rS0 2-SA/V0 2)=0.42%), indicating that the test instrument monitoring value and the blood gas detection value are basically consistent in statistical signi cance. The 95% consistency interval of the difference between the two is narrow ([BS-L.96SD, Bs+ L.96SD]=[-5.9%, 6.75%]), indicating that the variation of the measurement difference between the two equipment is small. The above analysis shows that the non-invasive tissue oxygen saturation monitoring of the test equipment is between the invasive test results of the blood gas analysis equipment. These statistics indicate that MOC-100 has an absolute the mean deviation (Bs), standard deviation (SD), correlation coe cient (R), root mean square difference (Arms) and blood gas analysis were 0.42%, 3.23%, 0.95 and 3.25%, respectively, which met the clinical evaluation standard of Arms 30%.
We believe that the correct measurement method is very important for successfully developing a regional oximeter with good absolute measurement accuracy and strike accuracy. In order to be able to accurately calibrate the device, it is important to achieve a stable plateau long enough to achieve stable arterial saturation even in the face of changes in respiratory rate. In addition, care should be taken to avoid injury to the ipsilateral artery when retrograde placement of the jugular catheter and extraction of blood. [13] Reference cerebral tissue oxygen saturation is commonly assumed as a weighted sum of the arterial (A) and venous(V) oxygen saturations, which is kept constant (e.g., our analysis used the A/V ratio of 70/30).
However, A/V ratio is not necessarily constant because both the cerebral blood volume as well as oxyand de-oxy hemoglobin concen-trations change in response to other hemodynamic varia-tions. For example, Bickler et al. [14] reported that patients had different ratios of venous and arterial blood in the sensor eld. Such conditions and other factors altering arterial and venous ratio indicate that the reference oxygen saturation has an estimation error, which affects both calibration of the device as well as validation accuracy. Limitations of our study include the population of relatively young, healthy, adult volunteers, which may not re ect the performance in critically ill perioperative patients.
Up to now, there are no relevant standards and guidelines for technical review of registration of cerebral oxygenometer. In 1996, INVOS 3100A was rst approved by the FDA for marketing in the United States to monitor trends in cerebral oxygen saturation [4,5,[23][24][25][26][27] rather than to measure the exact value of cerebral oxygen saturation, mainly because there was no established clinical method to verify the accurate measurement of cerebral oxygen saturation. After more than ten years of clinical application and the marketing of several cerebral oxygenometer products, a uni ed clinical validation method has gradually been formed which can be accepted by clinical and regulatory departments. A review of 510K data for certi ed brain tissue oxygen saturation monitors on the FDA website [5,[7][8][9][10][11][12][13][14][15][16] shows that the e cacy and safety of brain oxygen monitors can be con rmed by induction deoxygenation tests in healthy individuals, such as INVOS 3100A by Somanetics (acquired by Medtronic) [7,[17][18][19][20][21][22] FORE SIGHT Model 2040[8, 9] MC2000 [10]. In addition to the data disclosed by FDA, the research results published by other relevant research institutions in the world [4,[10][11][12][13][14][15][16] also show that induction deoxygenation test is a safe and effective feasible method to evaluate brain oxygenation apparatus in healthy subjects.

Conclusion
Accurate data acquisition is required to study the accuracy of MOC-100 pulse oximeter. Among the methods used in this study, MOC-100 regional oximetry provided mean deviation (Bs) of 0.42%, standard deviation (SD) of 3.23%, correlation coe cient (R) of 0.95, root mean square difference (Arms) of 3.25% compared with blood gas analysis. Healthy volunteers who met the Arms 30% clinical evaluation criteria and received controlled oxygenation experiments. There is good correlation and consistency between the test instrument monitoring value model: MOC-100 and the absolute value of blood gas analyzer.Brain tissue oxygen saturation monitor is used for continuous non-invasive monitoring of local tissue oxygen saturation.

Declarations
Ethics approval and consent to participate    Stepped Hypoxia Plateau Sequence Protocol with targeted pulse oximetry SpO2 values Figure 5 Schematic diagram of induced oxygen reduction trial