CN113409941A - OSAHS identification method, model establishing method and device - Google Patents
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Abstract
The OSAHS identification method and the model, the model establishment method and the model establishment device are provided, based on dynamic blood pressure characteristics, the Logistic regression model is utilized to input corresponding input quantity, corresponding coefficients are set for the corresponding input quantity, whether the testee suffers from OSAHS or not is determined according to comparison between the calculated risk score and a preset threshold value, and auxiliary diagnosis basis is provided for first-line clinicians in OSAHS disease diagnosis and treatment.
Description
Technical Field
The present application relates to sleep breathing identification technologies, and in particular, to an OSAHS identification method, a model building method, and an apparatus.
Background
Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) refers to a series of symptoms of apnea and hypopnea of a patient repeatedly occurring in the sleep process, which can be clinically manifested as snoring with irregular snoring sound, suffocating of the patient, even being repeatedly wakened, increased nocturia, morning headache, dizziness, dry mouth and throat and the like. In recent years, the onset of OSAHS has a tendency to be developed to younger and non-obese people, and has become one of the main diseases affecting the sleep quality of human beings. Currently, the clinical diagnosis of OSHAS still uses Polysomnography (PSG) as a main means, but PSG examination requires patients to wear corresponding equipment in a specific sleep laboratory, examination conditions are strict, and patient compliance and popularity are still to be improved.
Disclosure of Invention
In view of the foregoing problems, the present application aims to provide an OSAHS identification method, a model building method, and an apparatus.
The OSAHS identification method comprises the following steps:
abnormal value processing and missing value interpolation are carried out on the original blood pressure data of the subject through a data preparation module to obtain processed blood pressure data;
the processed blood pressure data is sent to a feature extraction module that extracts model inputs including at least some of the following:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
inputting the model input quantity into an OSAHS identification model, wherein the identification model is a Logistic regression model;
calculating to obtain an OSAHS risk score by the identification model according to the input quantity; determining whether the subject has OSAHS based on the calculated risk score compared to a predetermined threshold.
Preferably, the identification model has an intercept of 1.35454232;
the coefficients of the recognition model corresponding to the input quantities of the models are as follows:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) coefficient corresponding to the normalized nocturnal systolic pressure T2 duration was-0.296675777.
Preferably, the threshold is 0.5;
if the calculated risk score is larger than the threshold value, judging that the risk of the subject suffering from OSAHS is high; if the calculated risk score is greater than the threshold, it is determined that the subject is at low risk of OSAHS.
The method for establishing the OSAHS identification model comprises the following steps of establishing an OSAHS identification model, wherein the identification model is based on a Logistic regression model;
setting the input quantities of the recognition model to include at least some of the following input quantities:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
setting coefficients of the recognition model corresponding to each model input quantity as:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) a coefficient corresponding to the duration of the normalized nocturnal systolic pressure T2 of-0.296675777;
the intercept of the recognition model is set to 1.35454232.
The OSAHS identification device of the application comprises: the device comprises a data preparation unit, a feature extraction unit and an identification model unit;
the data preparation unit processes abnormal values and missing values of the original blood pressure data of the subject and supplements the processed blood pressure data;
a feature extraction unit extracts model input quantities from the processed blood pressure data, the model input quantities including at least some of the following input quantities:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
the identification model unit comprises an identification model, the identification model is a Logistic regression model, and the OSAHS risk score of the subject is calculated according to the input quantity; determining whether the subject has obstructive sleep apnea syndrome based on comparing the calculated risk score to a predetermined threshold.
Preferably, the data preparation unit, the feature extraction unit, and the recognition model unit are computing devices configured to perform corresponding functions.
Preferably, the identification model has an intercept of 1.3545424232;
the coefficients of the recognition model corresponding to the input quantities of the models are as follows:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) coefficient corresponding to the normalized nocturnal systolic pressure T2 duration was-0.296675777.
Preferably, the threshold is 0.5;
if the calculated risk score is larger than the threshold value, judging that the risk of the OSAHS of the subject is high; if the calculated risk score is greater than the threshold, it is determined that the subject is at low risk of OSAHS.
The OSAHS identification model is based on a Logistic regression model;
the input quantities of the recognition model include at least some of the following:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
the identification model corresponds to coefficients of each model input quantity:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) a coefficient corresponding to the duration of the normalized nocturnal systolic pressure T2 of-0.296675777;
the intercept of the recognition model is 1.35454232.
The OSAHS identification method, the model establishment method and the device provided by the invention work based on the dynamic blood pressure characteristics, and have the innovative points that the new characteristics aiming at the OSAHS blood pressure change are used, the current popular machine learning technical means is integrated, and a large amount of clinical data is used as the support, so that auxiliary diagnosis basis is provided for first-line clinicians in OSAHS disease diagnosis and treatment.
Drawings
FIG. 1 is a schematic diagram of an identification system design;
FIG. 2 is raw data of dynamic blood pressure;
FIG. 3 is data processed by the data preparation module;
FIG. 4 is extracted dynamic blood pressure feature data;
FIG. 5 is a graph of feature extraction calculations for 24-hour ambulatory blood pressure data;
FIG. 6 is a confusion matrix;
FIG. 7a is a graph of the performance characteristics of a subject;
FIG. 7b is a precision/recall curve;
FIG. 8 is a Logitics regression model coefficient comparison table;
FIG. 9 is a diagram illustrating a blood pressure rise calculation indicator;
FIG. 10 is a schematic diagram of a blood pressure drop calculation indicator;
fig. 11 is a flowchart of feature extraction.
Detailed Description
The present application will be described in detail below with reference to the drawings.
First, system design
And the data preparation module is mainly used for realizing the functions of acquiring, converting and processing the dynamic blood pressure data. The system comprises 3 sub-modules which are respectively a data set creation module: reading the original blood pressure data from the dynamic blood pressure monitoring equipment, and performing file format conversion and data storage; an abnormal value processing module: the method is used for detecting abnormal values in the original blood pressure data and processing the abnormal values by using a corresponding method; missing value interpolation module: and detecting missing values in the original blood pressure data, and interpolating according to a corresponding method.
And the feature extraction module is used for extracting new features of the dynamic blood pressure by using a feature extraction algorithm aiming at OSAHS blood pressure features developed in advance. The system comprises 4 sub-modules which are respectively a characteristic rule defining module: the rule is modified by adjusting the hyper-parameters of the feature extraction algorithm, so that the feature extraction is more comprehensive; extraction algorithm selection module: selecting a common feature extraction algorithm (statistical description feature) and a user-defined feature extraction algorithm (new feature), and respectively extracting different types of features; the feature extraction module: loading the blood pressure data processed by the data preparation module in batches, extracting the characteristics, and storing the characteristic data into a file; a characteristic preprocessing module: and preprocessing the extracted features, including abnormal value processing, missing value interpolation and the like, and preparing for data analysis. The characteristic rules used by this module are as follows:
three categories of blood pressure rising first at night, blood pressure falling first at night and blood pressure peak in morning are distinguished, and 5 kinds of 20 indexes including time, amplitude, change rate, area, fluctuation count and the like are respectively defined for systolic pressure, diastolic pressure or mean arterial pressure. H (t) indicates the dynamic blood pressurethe time of sleep is recorded as t, the blood pressure is in millimeter mercury (mmHg), the time is in hours (h)0Corresponding to the blood pressure value VnAs "night blood pressure baseline"; the time of the next morning peak is recorded as tm0Corresponding to the blood pressure value VmIs "morning peak blood pressure baseline". The effective threshold for blood pressure rise is recorded as HupThe effective threshold for blood pressure drop is recorded as HdnIt is generally considered that a blood pressure threshold fluctuation exceeding 10mmHg is clinically significant.
1. The condition of blood pressure rising first at night
(1) Effective height H for blood pressure rise at nightn: 1 st value above baseline blood pressure, H in FIG. 9nTo represent
Hn＝H(t)-Vn
Effective HnShould satisfy the condition Hn≥Hup(ii) a The corresponding time point is denoted as tnh。
(2) Blood pressure rise at night maximum height Hmax: the nocturnal blood pressure exceeds the maximum value of the baseline, i.e.:
Hmax＝max[H(t)-Vn]
(3) duration of blood pressure rise at night T1n: rise from baseline to HnThe time taken, namely:
T1n＝Tnh-t0
(4) rising slope UpSlope of blood pressure at nightn: height of rise HnAnd a rise duration T1nThe ratio of (a) to (b), namely:
UpSlopen＝Hn/T1n
(5) the nighttime blood pressure fluctuation frequency N: number of blood pressure values above baseline, number of points indicated by purple arrows in FIG. 9
(6) Area S on baseline of blood pressure at nightup: the area of the red-shaded portion in FIG. 9 indicates the degree of blood pressure increase, and is equal to the blood pressure curve H (t) > VnThe integration of the part over this period of time, namely:
wherein t isi1And ti2It is obtained by interpolation.
(7) Area under baseline of blood pressure at night Sdn: the area of the green shaded portion in FIG. 10, which indicates the degree of blood pressure decrease, is equal to the blood pressure curve H (t) < VnThe integration of the part over this period of time, namely:
wherein t isxAnd tiIt is obtained by interpolation.
2. The condition of blood pressure first falling at night
(8) Effective height H of blood pressure drop at nightn: 1 st value of lower than baseline blood pressure, H in FIG. 10nTo represent
Hn＝|H(t)-Vn|
Effective HnShould satisfy the condition Hn≥HdnmmHg; the corresponding time point is denoted as tnh
(9) Maximum depth of blood pressure drop H at nightdip: night blood pressure is below the baseline maximum, i.e.:
Hdip＝-max[|H(t)-Vn|]
(10) duration of night blood pressure drop T1n: decrease from baseline to HnThe time taken, namely:
T1n＝tnh-t0
(11) night blood pressure decrease slope DnSlopen1: height of descent HnAnd a rise duration T1nThe opposite of the ratio, i.e.:
DnSlopen1＝-Hn/T1n
(12) duration T of blood pressure rise twice at night2n: from-HnUp to-HxThe time used is, wherein Hx≥-Hn+10, i.e.:
T2n＝tx-tnh
(13) secondary rising slope UpSlope of blood pressure at nightn1: height of rise HnOr less than HnA certain H ofxAnd a rise duration T2nThe ratio of (a) to (b), namely:
UpSlopen2＝Hn/T2n
(14) the nighttime blood pressure fluctuation frequency N: 1 st effective descent HnThe point is used as a temporary baseline which is higher than HupThe number of blood pressure values, the number of points indicated by the purple arrows in FIG. 10.
3. Morning peak blood pressure changes
(15) Maximum morning peak blood pressure rise height Hm: morning peak blood pressure exceeds the maximum value of the baseline, i.e.:
Hm＝max[Hm(t)-Vm]
the corresponding time point is denoted as tmh
(16) Morning peak blood pressure rise duration T1m: rise from baseline to HmThe time taken, namely:
T1m＝tmh-tm0(17) morning peak blood pressure rising slope UpSlopem: height of rise HmAnd a rise duration T1mThe ratio of (a) to (b), namely:
UpSlopem＝Hm/T1m
(18) morning peak blood pressure decrease duration T2m: from HmTo baseline or to a certain Hxm(txm) The time taken, namely:
T2m＝txm-tmh
t in FIG. 10xm＝ti3，ti3Interpolation is needed to obtain.
(19) Morning peak blood pressure decrease slope DnSlopem: height of descent HxmAnd a falling duration T2mThe opposite of the ratio, i.e.:
DnSlopem＝-Hxm/T2m
(20) morning peak blood pressure baseline upper area Smup: t in FIG. 9m0The area of the red shaded portion after time, which indicates the degree of blood pressure increase, is equal to the blood pressure curve Hm(t)＞VmThe integration of the part over this period of time, namely:
wherein t isi3It is obtained by interpolation.
And the exploratory analysis module is used for realizing the function of statistical analysis of the characteristic data. Comprises 3 sub-modules: statistical inference analysis: carrying out statistical description on the characteristic indexes, carrying out hypothesis test on the grouping characteristics, and describing difference conditions, statistical significance and the like; secondly, visualizing the result: visualizing the data in the step 1 in the form of a statistical chart and a statistical table, visually displaying the result of statistical analysis, and preparing for modeling and typing; the result interpretation module: interpreting the features with statistical differences and giving a correlation between the statistical differences and clinical significance; the possible reasons for the non-difference are analyzed for the features that are not statistically different but are more concerned.
A modeling analysis module: and analyzing the extracted characteristic data by using a machine learning method to judge whether the OSAHS patient is subjected to two-classification problem analysis, selecting a corresponding model for training, testing and evaluating, and obtaining a corresponding conclusion. Comprises 8 sub-modules: dividing a data set: dividing data into a training set, a verification set and a test set, and determining a division ratio; selecting a model: selecting a proper machine learning model, wherein a Logistic regression model is generally used in medical research, and the system is designed to use the model by default, but other models can be provided for users to use; selecting characteristics: the extracted features are selected by using a model, and the system defaults to a method combining recursive feature selection and user specification; fourthly, training the model: training a model by using a training set, and performing hyper-parameter adjustment by using a verification set to obtain a better model, wherein the system is realized by adopting a K-fold cross verification method; testing the model: inputting the test set into the trained model to obtain a test result; evaluation model: the evaluation principle is that the model has better performance in both a verification set and a test set, so that not only is the overfitting problem prevented, but also the generalization performance of the model is ensured; the result is visualized: observing model results using a visualization method, and using a confusion matrix, a precision/recall curve (P-R curve) and a receiver operating characteristic curve (ROC curve) to observe model performance; interpretation of results: and evaluating the overall classification condition, analyzing the reason of the misclassification and determining whether the need of improving the model exists or not.
And the model persistence module is used for updating the model data set and the model parameters. Includes 4 sub-modules: saving model parameters: storing the trained model parameters (including optimized hyper-parameters); secondly, storing a training data set: saving the data set with the good model so as to update the model at a later period; updating the training data set: the module helps the user to expand the training data set; updating model parameters: this module helps the user to retrain the model on the updated data set and save.
And the clinical application module is used for analyzing the data of the single input case and predicting and analyzing the risk of the single input case suffering from the OSAHS disease on the trained model. Comprises 5 sub-modules: firstly, loading a model: loading the trained model, and preparing disease risk prediction; selecting case data: selecting case data to be evaluated and predicted; inputting a model: inputting case data into a model for analysis and calculation; and displaying a model analysis result: after the model analysis, the OSAHS risk (probability, default threshold value is 0.5) is given, the risk is high when the OSAHS risk is greater than 0.5, the possibility of suffering from OSAHS is prompted, the risk is low when the OSAHS risk is less than 0.5, and the possibility of not suffering from OSAHS is prompted; obtaining a disease diagnosis and treatment conclusion: on the basis of the risk size, factors such as patient demographic characteristics (sex, age, height, weight, etc.), chief complaints, medical history, etc. are integrated to give the patient a probable diagnosis result, or to recommend the patient to go through further examination to confirm the OSAHS.
Effect of the method
Introduction of data: the validation data set used in the present invention was obtained from the Physionet website, and was a public data total of 249, 115 patients with OSAHS diagnosed by PSG, and 134 patients with non-OSA randomly matched, and the data was divided into two groups, with the OSAHS group (case group) consisting of 115 patients with OSAHS and the non-OSAHS group (control group) consisting of 134 patients.
Basic flow of data analysis: according to a schematic diagram given by the design of the recognition system shown in fig. 1, when the system is used for the first time, the data preparation module and the clinical application module are executed one by one until the system gives a trained model and can give the OSAHS risk of a single case; after the model is trained, the user can realize the disease risk assessment and prediction mainly by using three modules of data preparation, feature extraction and clinical application.
The format of the raw Blood Pressure data used by the system is shown in fig. 2, and the file is awp format, which is 24-hour dynamic Blood Pressure Monitoring (ABPM) data.
The format of the blood pressure data processed by the data preparation module is shown in fig. 3, and the file is in csv format. Wherein Num is a number; the TestPoint is an acquisition time point, and the unit is minutes; SBP is systolic pressure; DBP is diastolic pressure; MBP is the average pressure; PPD is pulse pressure difference; PHR is heart rate.
Illustrate by way of example
The feature data processed by the feature extraction module is shown in fig. 4, and fig. 5 shows a feature extraction calculation chart of a case.
Selecting a Logistic regression model according to the test condition of the model processed by the modeling analysis module, wherein a confusion matrix is given in the graph 6, namely a 0-non-OSAHS group and a 1-OSAHS group, the model prediction accuracy is 84.09%, the accuracy is 94.7%, the recall rate is 75%, and the F1 score is 83.7%; figure 7a shows the receiver operating characteristic curve (ROC), area under curve AUC 0.85; fig. 7b shows the accuracy/recall curve (P-R), with the area under the curve AP equal to 0.91.
After the model persistence module processes, the model parameters are saved, for example, Logistic regression, and the coefficients are shown in fig. 8.
In fig. 8, 1) daily mean diastolic pressure, 2) night systolic pressure, 3) night diastolic pressure, 7) blood pressure rhythm form, 8)24h systolic pressure load, 9)24h diastolic pressure load, 10) daytime systolic pressure load, and 11) daytime diastolic pressure load are conventional physiological parameter indexes. 4) The nocturnal systolic pressure reduction rate, 5) the nocturnal diastolic pressure reduction rate, 6) the nocturnal average pressure reduction rate are obtained by (11) the nocturnal blood pressure reduction slope; 12) the night contraction pressing area is obtained from (6) the area on the night blood pressure baseline; 13) the area under the night systolic blood pressure is obtained from (7) the area under the night blood pressure baseline; 14) the maximum elevation height of the systolic blood pressure at night is obtained by (2) the maximum elevation height of the blood pressure at night; 15) the maximum depth of the night systolic blood pressure reduction is obtained by (9) the maximum depth of the night blood pressure reduction; 16) the duration of the nocturnal systolic pressure T2 is obtained from (12) the duration of the second rise of the nocturnal blood pressure; 17) the slope of the nocturnal systolic blood pressure K1 is obtained from (4) the slope of the rise of the nocturnal blood pressure or (11) the slope of the fall of the nocturnal blood pressure; 18) the nocturnal systolic pressure fluctuation is obtained by (5) nocturnal blood pressure fluctuation frequency or (14) nocturnal blood pressure fluctuation frequency; 19) the height of the nocturnal systolic blood pressure H1 is obtained by (1) the effective height of nocturnal blood pressure increase or (8) the effective height of nocturnal blood pressure decrease; 20) the nighttime diastolic blood pressure area is obtained from (6) the area on the nighttime blood pressure baseline; 21) the area under the diastolic blood pressure at night is obtained from (7) the area under the baseline of the blood pressure at night; 22) the maximum elevation of the diastolic blood pressure at night is obtained by (2) the maximum elevation of the blood pressure at night; 23) the maximum depth of the diastolic blood pressure drop at night is obtained by (9) the maximum depth of the blood pressure drop at night; 24) the slope of the nocturnal diastolic blood pressure K1 is obtained from (4) a slope of the rise of the nocturnal blood pressure or (11) a slope of the fall of the nocturnal blood pressure; 25) the night diastolic blood pressure fluctuation is obtained by (5) the night blood pressure fluctuation frequency or (14) the night blood pressure fluctuation frequency; 26) the height of the night diastolic blood pressure H1 is obtained from (1) the effective height of the night blood pressure rise or (8) the effective height of the night blood pressure fall; 27) the average pressing area at night is obtained from the area on the basal line of the blood pressure at night (6); 28) the average area of depression at night is obtained from (7) the area under the baseline of blood pressure at night; 29) the maximum elevation of the mean pressure at night is obtained by (2) the maximum elevation of the blood pressure at night; 30) the maximum depth of the mean pressure drop at night is obtained from (9) the maximum depth of the blood pressure drop at night; 31) the night average pressure fluctuation is obtained by (5) night blood pressure fluctuation frequency or (14) night blood pressure fluctuation frequency; 32) the night average pressure H1 is obtained from (1) the effective height of the blood pressure rise at night or (8) the effective height of the blood pressure fall at night; 33) morning systolic pressure area is obtained by (20) morning peak blood pressure baseline upper area; 34) the morning systolic pressure rise time is obtained by (16) morning peak blood pressure rise duration; 35) the maximum height of the morning systolic blood pressure rise is obtained by (15) the maximum height of the morning peak blood pressure rise; 36) morning diastolic blood pressure area is obtained from (20) morning peak blood pressure baseline area; 37) the maximum morning diastolic blood pressure rise height is obtained by (15) the maximum morning peak blood pressure rise height; 38) the morning mean upper area is obtained by (20) the area above the morning peak blood pressure baseline; 39) the maximum rising height of the average blood pressure in the morning is obtained by (15) the maximum rising height of the blood pressure in the morning; 40) the normalized nocturnal systolic pressure T2 duration was normalized by (12) the duration of the nocturnal blood pressure rise.
The OSAHS recognition apparatus of the present application is an apparatus for loading and running the recognition model or the recognition method proposed in the present application on a computing device (e.g., a computer, a smart phone, a tablet computer, etc.), and the data preparation unit, the feature extraction unit, and the recognition model unit are all functional units corresponding to the computing device loaded with corresponding functional modules or programs.
After the processing of the modules, the OSAHS risk identification system has the function of evaluating the risk of the disease of a single case, the data of 1 patient which is not used in the system is randomly selected to execute a clinical application module, the risk score of the case with the OSAHS is less than 0.5, the case is prompted to be the OSAHS patient, the case is actually diagnosed with the OSAHS through PSG, and the disease risk prompted by the system has the result consistent with the actual diagnosis.
Unless defined otherwise, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The materials, methods, and examples set forth in this application are illustrative only and not intended to be limiting.
Although the present invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications, and variations will be apparent to those skilled in the art in light of the teachings of this application and yet remain within the scope of this application.
Claims (9)
1. An OSAHS identification method, comprising:
abnormal value processing and missing value interpolation are carried out on the original blood pressure data of the subject through a data preparation module to obtain processed blood pressure data;
the processed blood pressure data is sent to a feature extraction module that extracts model inputs including at least some of the following:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
inputting the model input quantity into an OSAHS identification model, wherein the identification model is a Logistic regression model;
calculating to obtain an OSAHS risk score by the identification model according to the input quantity; determining whether the subject has OSAHS based on the calculated risk score compared to a predetermined threshold.
2. The method of claim 1, wherein:
the intercept of the recognition model is 1.35454232;
the coefficients of the recognition model corresponding to the input quantities of the models are as follows:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) coefficient corresponding to the normalized nocturnal systolic pressure T2 duration was-0.296675777.
3. The method of claim 1, wherein:
the threshold value is 0.5;
if the calculated risk score is larger than the threshold value, judging that the risk of the subject suffering from OSAHS is high; if the calculated risk score is greater than the threshold, it is determined that the subject is at low risk of OSAHS.
4. A method of establishing an OSAHS recognition model, wherein the recognition model is based on a Logistic regression model;
setting the input quantities of the recognition model to include at least some of the following input quantities:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
setting coefficients of the recognition model corresponding to each model input quantity as:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) a coefficient corresponding to the duration of the normalized nocturnal systolic pressure T2 of-0.296675777;
the intercept of the recognition model is set to 1.35454232.
5. An OSAHS identification device, comprising: the device comprises a data preparation unit, a feature extraction unit and an identification model unit;
the data preparation unit processes abnormal values and missing values of the original blood pressure data of the subject and supplements the processed blood pressure data;
a feature extraction unit extracts model input quantities from the processed blood pressure data, the model input quantities including at least some of the following input quantities:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration;
the identification model unit comprises an identification model, the identification model is a Logistic regression model, and the OSAHS risk score of the subject is calculated according to the input quantity; determining whether the subject has obstructive sleep apnea syndrome based on comparing the calculated risk score to a predetermined threshold.
6. The apparatus of claim 5, wherein:
the data preparation unit, the feature extraction unit, and the recognition model unit are computing devices configured to perform corresponding functions.
7. The apparatus of claim 5, wherein:
the intercept of the recognition model is 1.3545424232;
the coefficients of the recognition model corresponding to the input quantities of the models are as follows:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104; 30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) coefficient corresponding to the normalized nocturnal systolic pressure T2 duration was-0.296675777.
8. The apparatus of claim 5, wherein:
the threshold value is 0.5;
if the calculated risk score is larger than the threshold value, judging that the risk of the OSAHS of the subject is high; if the calculated risk score is greater than the threshold, it is determined that the subject is at low risk of OSAHS.
9. An OSAHS recognition model, wherein the recognition model is based on a Logistic regression model;
the input quantities of the recognition model include at least some of the following:
1) mean daily diastolic pressure;
2) the pressure is reduced at night;
3) night-time diastolic blood pressure;
4) the rate of reduction of systolic pressure at night;
5) a rate of diastolic pressure decrease at night;
6) the average pressure drop rate at night;
7) blood pressure rhythm shape;
8)24h systolic pressure loading;
9)24h diastolic pressure loading;
10) diurnal systolic pressure loading;
11) diurnal diastolic pressure loading;
12) the upper area is shrunk at night;
13) shrinking the pressing area at night;
14) the maximum height of the systolic pressure rise at night;
15) maximum depth of systolic pressure drop at night;
16) nocturnal systolic pressure T2 duration;
17) the slope of the nocturnal systolic pressure K1;
18) systolic pressure fluctuation at night;
19) nocturnal systolic pressure H1 height;
20) diastolic pressure area at night;
21) diastolic depression area at night;
22) diastolic blood pressure rise maximum at night;
23) maximum depth of diastolic pressure drop at night;
24) night diastolic K1 slope;
25) diastolic pressure fluctuation at night;
26) nocturnal diastolic H1 height;
27) average voltage area at night;
28) average area of reduction at night;
29) the average pressure rises to the maximum height at night;
30) the maximum depth of the average pressure drop at night;
31) the average pressure fluctuates at night;
32) the average pressure at night is H1;
33) contracting the upper area in the morning;
34) morning systolic pressure rise time;
35) morning systolic pressure rise maximum height;
36) morning diastolic upper area;
37) morning diastolic pressure rise to maximum height;
38) morning average press area;
39) the maximum height of the average pressure rise in the morning;
40) normalized nocturnal systolic pressure T2 duration; the identification model corresponds to coefficients of each model input quantity:
1.1) coefficient corresponding to the daily mean diastolic pressure is 0.171825933;
2.1) coefficient corresponding to the night's systolic blood pressure is 0.760051681;
3.1) coefficient corresponding to the night mean diastolic pressure is-0.301094165;
4.1) coefficient corresponding to the nocturnal systolic pressure drop rate is-1.703366483;
5.1) coefficient corresponding to the rate of decrease in nocturnal diastolic blood pressure is 0.569433975:
6.1) coefficient corresponding to the nighttime average pressure drop rate is-0.122854502:
7.1) coefficient corresponding to the blood pressure rhythm shape is-1.260220152;
8.1) coefficient corresponding to 24h systolic pressure load-0.325585879;
9.1) coefficient corresponding to 24h diastolic pressure loading is 0.374904589;
10.1) coefficient corresponding to the systolic diurnal pressure loading of-0.804455162;
11.1) coefficient corresponding to the daytime diastolic pressure load is 0.232331651;
12.1) coefficient corresponding to the nighttime shrink upper pressure area is 0.476055269;
13.1) coefficient corresponding to the area under nighttime shrink depression-1.23184605;
14.1) coefficient corresponding to the maximum height of systolic rise during the night 0.406756655;
15.1) the factor corresponding to the maximum depth of the nocturnal systolic pressure drop is 0.317857477;
16.1) coefficient corresponding to the duration of the nocturnal systolic pressure T2 was 0.073568283;
17.1) coefficient corresponding to the slope of nocturnal systolic blood pressure K1 is 0.635679204;
18.1) coefficient corresponding to nocturnal systolic pressure fluctuation-0.217943708;
19.1) coefficient corresponding to the height of the nocturnal systolic pressure H1 was 0.37952764;
20.1) coefficient corresponding to the nighttime diastolic upper pressure area is-0.00338707;
21.1) coefficient corresponding to the area under diastolic pressure at night-0.062813725;
22.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure at night is 0.136287799;
23.1) coefficient corresponding to the maximum depth of the night time diastolic pressure drop is 0.429297414;
24.1) the coefficient corresponding to the slope of the nocturnal diastolic pressure K1 is-0.45107689;
25.1) coefficient corresponding to the nocturnal diastolic pressure fluctuation is-0.083821896;
26.1) coefficient corresponding to the height of the nocturnal diastolic pressure H1 is 0.299561695;
27.1) coefficient corresponding to the nighttime average upper pressure area is 0.206504969;
28.1) coefficient corresponding to the average area depressed at night was 0.014999594;
29.1) the coefficient corresponding to the maximum height of the mean pressure rise at night was-0.281755104;
30.1) the coefficient corresponding to the maximum depth of the night-time average pressure drop is 0.157846579;
31.1) coefficient corresponding to the nighttime average pressure fluctuation is 0.551148676;
32.1) coefficient corresponding to the height of the nighttime mean pressure H1 was 0.249326376;
33.1) coefficient corresponding to morning pinch upper area 0.440745049;
34.1) coefficient corresponding to morning systolic rise time-0.174874368;
35.1) the coefficient corresponding to the maximum height of the morning systolic rise is-0.33988987;
36.1) coefficient corresponding to morning diastolic upper area-0.598357033;
37.1) coefficient corresponding to the maximum height of rise of diastolic blood pressure in the morning is 0.41503691;
38.1) coefficient corresponding to morning average upper pressure area-0.416355472;
39.1) coefficient corresponding to the maximum height of the rise of the mean pressure in the morning is 0.283126115;
40.1) a coefficient corresponding to the duration of the normalized nocturnal systolic pressure T2 of-0.296675777;
the intercept of the recognition model is 1.35454232.
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